A Sensory Evaluation of Citrus Greening-Affected Juice Blends

Material Information

A Sensory Evaluation of Citrus Greening-Affected Juice Blends
Ikpechukwu, Chinedu
Place of Publication:
[Gainesville, Fla.]
University of Florida
Publication Date:
Physical Description:
1 online resource (103 p.)

Thesis/Dissertation Information

Master's ( M.S.)
Degree Grantor:
University of Florida
Degree Disciplines:
Food Science and Human Nutrition
Committee Chair:
Goodrich, Renee M
Committee Members:
Yang, Weihua
Sims, Charles A
Spann, Timothy M
Graduation Date:


Subjects / Keywords:
Acidity ( jstor )
Diseases ( jstor )
Flavors ( jstor )
Food ( jstor )
Fruits ( jstor )
Greening ( jstor )
Juices ( jstor )
Orange fruits ( jstor )
Orange juice ( jstor )
Sweetness ( jstor )
Food Science and Human Nutrition -- Dissertations, Academic -- UF
acid -- blends -- brima -- brix -- color -- difference-from-control -- greening-affected -- hamlin -- test -- triangle -- valencia
bibliography ( marcgt )
theses ( marcgt )
government publication (state, provincial, terriorial, dependent) ( marcgt )
born-digital ( sobekcm )
Electronic Thesis or Dissertation
Food Science and Human Nutrition thesis, M.S.


Citrus greening is a devastating disease that kills citrus trees with major economic ramifications in the citrus industry. The main objective of this study was to determine if greening-affected juice could be utilized in the form of juice blends with healthy juice. Blending strategies (by juice mass and fruit mass) were also investigated in this study. Blending by juice mass could be preferred in small pilot plant scale projects while blending by fruit mass is feasible for large scale industrial juice processing. This study examined the sensory impact of blends of greening-affected orange juice and healthy orange juice. Sensory evaluation tests were carried out on the University of Florida Campus with an untrained panel (n=60) performing triangle tests, difference-from-control tests and hedonic tests on the following treatments: 5% blend, 10% blend, 20% blend, 50% blend and control (0% blend). Panelists used a 10 point numerical category scale to rate the difference of blends from control and used a 9 point hedonic scale to assess the overall acceptability, sweetness and orange flavor among the blends. Panelists were able to detect differences in juice blends (Valencia) when blended by juice mass at 10% levels with borderline significance at 5% levels. However, panelists could not detect differences in juice blends (Valencia and Hamlin) when blended by fruit mass at 5% and 20% (borderline significance in Hamlin) levels. Panelists were able to detect a difference with the 50% blends (Valencia and Hamlin) from the control. In the hedonic tests, only the 50% blend (Valencia) was found significantly different from the control with the lowest sweetness among treatments. The results suggest that greening-affected juice can be blended by fruit mass at 50% levels or lower and be still acceptable to consumers. The 20% blending level or lower is recommended when blending by fruit mass, and the 5% blending level or lower is recommended when blending by juice mass with minimal risk of consumer detection in juice. This is relevant to the Florida citrus industry suffering from the economic impact of citrus greening, specifically as a way to add value to juice yield. ( en )
General Note:
In the series University of Florida Digital Collections.
General Note:
Includes vita.
Includes bibliographical references.
Source of Description:
Description based on online resource; title from PDF title page.
Source of Description:
This bibliographic record is available under the Creative Commons CC0 public domain dedication. The University of Florida Libraries, as creator of this bibliographic record, has waived all rights to it worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.
Thesis (M.S.)--University of Florida, 2012.
Adviser: Goodrich, Renee M.
Statement of Responsibility:
by Chinedu Ikpechukwu.

Record Information

Source Institution:
Rights Management:
Copyright Ikpechukwu, Chinedu. Permission granted to the University of Florida to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Resource Identifier:
864716134 ( OCLC )
LD1780 2012 ( lcc )


This item has the following downloads:

Full Text




2 2012 Chinedu Ikpechukwu


3 To my p arents: for their unconditional love, support and encouragement


4 ACKNOWLEDGMENTS I would like to give special thanks to Dr. Renee Goodrich Schneider, my advisor, for giving me the opportunity to pursue my dream as a food scientist and for her guidance and encouragement in completing my I am very grateful for the expertise and support given to me by members of my committee : Dr. Charles Sims, Dr. Wade Ya ng and Dr. Tim Spann. I would like to personally thank Eric Dreyer, the taste panel manager, as well as his Taste Panel staff that enabled me complete numerous sensory projects properly and on time. I would also like to thank my lab mates, Lemne Delva, D evin Lewis, and Gayathri Balakrishnan for all their help and suggestions. Most of all, I cannot thank more profusely my family whose support and faith gave me the strength to accomplis h my goals


5 TABLE OF CONTENTS page ACKNOWLEDGMENTS ................................ ................................ ................................ .. 4 LIST OF TABLES ................................ ................................ ................................ ............ 7 ABSTRACT ................................ ................................ ................................ ..................... 9 CHAPTER 1 INTRODU CTION ................................ ................................ ................................ .... 11 2 LITERATURE REVIEW ................................ ................................ .......................... 15 Biological and Physical Characteristics ................................ ................................ ... 15 Citrus Fruit ................................ ................................ ................................ .............. 15 Citrus Greening ................................ ................................ ................................ ....... 16 History ................................ ................................ ................................ .............. 17 Biology ................................ ................................ ................................ .............. 20 Spread ................................ ................................ ................................ .............. 21 Diagnosis ................................ ................................ ................................ .......... 23 Symptoms ................................ ................................ ................................ ........ 24 Juice Flavor Impact ................................ ................................ .......................... 26 Control ................................ ................................ ................................ .............. 33 Economic Impact ................................ ................................ .............................. 34 Blending ................................ ................................ ................................ ........... 36 Sensory Evaluation Overview ................................ ................................ ........... 37 Juice Analysis ................................ ................................ ................................ ... 39 Soluble solids ................................ ................................ ............................. 40 Percent acidity ................................ ................................ ........................... 43 Brix /acid ratio and BrimA index ................................ ................................ 43 Juice color ................................ ................................ ................................ .. 46 Purpose ................................ ................................ ................................ ............ 48 3 RESEARCH METHODS ................................ ................................ ......................... 50 Blending Strategy ................................ ................................ ................................ ... 50 Sensory Evaluation ................................ ................................ ................................ 51 Brix Analysis ................................ ................................ ................................ ... 53 Acid Analysis ................................ ................................ ................................ .... 53 Color Analysis ................................ ................................ ................................ .. 53 Preliminary Studies ................................ ................................ ................................ 53


6 4 RESULTS AND DISCUSSION ................................ ................................ ............... 57 Blending by Juice ................................ ................................ ................................ .... 57 Bl ending by Fruit ................................ ................................ ................................ ..... 61 Summary and Conclusion ................................ ................................ ....................... 79 APPENDIX: BALLOT TEMPLATE ................................ ................................ ................ 83 LIST OF REFERENCES ................................ ................................ ............................... 87 BIOGRAPHICAL SKETCH ................................ ................................ .......................... 103


7 LIST OF TABLES Table page 3 1 Triangle tests on pasteurized valencia juice (01 13 2010) ................................ 54 3 2 Analysis of pasteurized valencia juice (01 13 2010) ................................ ........... 54 3 3 Dif ference tests on unpasteurized valencia juice (01 13 2010) .......................... 55 3 4 Difference tests on unpasteurized valencia juice ................................ ................ 56 4 1 Differ ence tests on pasteurized valencia juice (04 14 08) ................................ .. 57 4 2 Analysis of unpasteurized valencia juice (04 14 08) ................................ ........... 57 4 3 Difference tests on unpasteurized valencia juice (04 04 08) .............................. 59 4 4 Analysis of unpasteurized valencia juice (04 04 08) ................................ ........... 60 4 5 Hedonic test of pasteurized valencia juice (04 07 11) ................................ ........ 61 4 6 Analysis of pasteurized valencia juice (04 07 11) ................................ ............... 62 4 7 Difference from contro l test of pasteurized valencia juice (04 07 11) ................. 63 4 8 Difference from control test of pasteurized valencia juice (04 07 11) ................. 65 4 9 Analysis of pasteurized valencia juice (04 07 11) ................................ ............... 66 4 10 Difference from control test of pasteurized hamlin juice (01 19 12) ................... 67 4 11 Analysis of pasteurized hamlin juice (01 19 12) ................................ ................. 69 4 12 Difference from control test of pasteurized hamlin juice (01 19 12) ................... 70 4 13 Analysis of pasteurized hamlin juice (01 19 12) ................................ ................. 71 4 14 Hedonic test of pasteurized hamlin juice (01 19 12) ................................ ........... 73 4 1 5 Hedonic test of pasteurized valencia juice (04 07 11) ................................ ........ 74 4 16 Analysis of pasteurized valencia juice (04 07 11) ................................ ............... 75 4 17 Correl ation of brix/acid ratio and brimA with hedonic parameters for valencia juice (4 07 11) ................................ ................................ ................................ .... 77


8 4 18 Correlation of brix/acid ratio and brimA with hedonic parameters for hamlin juice (4 07 11) ................................ ................................ ................................ .... 77


9 Abstract of Thesis Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Master of Science A SENSORY EVALUATION OF CITRUS GREENING AFFE CTED JUICE BLENDS By Chinedum O. Ikpechukwu May 2012 Chair: Renee Goodrich Schneider Major: Food Science and Human Nutrition Citrus greening is a devastating disease that kills citrus trees with major economic ramifications in the citrus industry. T he m ain objective of this study was to determine if greening affected juice could be utilized in the form of juice blends with healthy juice. Blending strategies (by juice and fruit mass) were also investigated in this study. Blending by juice mass could be pr eferred in small pilot plant scale projects while blending by fruit mass is feasible for large scale industrial juice processing. This study ex amined the sensory impact of blends of greening affected orange juice and healthy orange juice. S ensory evaluatio n test s were carried out on the University of Florida Campus with an unt rained panel (n=60) performing triangle tests, difference from control tests and hedonic tests on the following treatments: 5% blend, 10% blend, 20% blend, 50% blend and control (0% bl end). Panelists used a 10 point numerical categor y scale to rate the difference of blends from control and used a 9 point hedonic scale to assess the overall acceptability, sweetness and orange flavor among the blends Panelists were able to detect differe nces in juice blends (Valencia) when blended by juice mass at 10% levels with borderline significance at 5% levels. However,


10 panelists could not detect differences in juice blends (Valencia and Hamlin) when b lended by fruit mass at 5% and 20% (borderline significance in Hamlin ) levels. Panelists were able to detect a difference with the 50% blends (Valencia and Hamlin) from the control. In the hedonic tests, only the 50% blend (Valencia) was found significantly different from the control with the lowest sw eetness among treatments. The results suggest that greening affected juice can be blended by fruit mass at 50% levels or lower and be still acceptable to consumers. The 20% blend ing level or lower is recommended when blending by fruit mass, and the 5% blen ding level or lower is recommended when blending by juice mass with minimal risk of consumer detection in juice. This is relevant to the Florida citrus industry suffering from the economic impact of citrus greening, specifically as a way to add value to ju ice yield


11 CHAPTER 1 INTRODUCTION portion of the food industry (Tetra Pak 2004, Kimball 1999). In 2005, about 59 million tons of orange s w ere produced worldwide (FAO 200 6). This represent s a 45% increase in orange production since 1970 (FAO 2006). As of 2005, 21.8 million tons of orange fruit were processed into orange juice with Brazil (11.9 million tons) and the United States (6 million tons) being the two largest orang e juice producing countries in the world (FAO 2006). In the United States, orange juice is also the most popular fruit juice accounting for 60% of all fruit juice sales (Graumlich 1986; Jia 1999). Almost all the oranges produced in the United States come f rom Florida and California with the former accounting for about 75% of the total oranges (USDA 2007). In Florida, about 92% of all oranges produced are processed into single strength orange juice while 72% of all the oranges are sold as fresh fruit in Cali fornia (USDA 2007). The high demand for oranges and their extracted juice is due to their high nutritional value and desirable fl avor (Jordan 2003; Polydera 200 4 ). Orange juice is an excellent source of ascorbic acid (vitamin C), sugars (sucrose, fructos e and glucose), minerals (po tassium, magnesium, calcium) bioactive compounds such as carotenoids caroten cryptoxanthin) and flavanones (hesperidin, narirutin) which have an tioxidant properties (Topuz 200 5 Plaza 2011, Niu 2008). The daily recommended intake of ascorbic acid is 7 5 mg for adult women and 90 mg for adu lt men with insuffic ient uptake of ascorbic acid lead ing to scurvy, a disease characterized by bleeding gums, impaired wound healing, anemia, fatigue and depression (Phillips 2010). Regular consumption of orange juice which contains about 40 mg of ascorbi c


12 acid per 100 ml helps to reduce the risk of the occurrence of scurvy (Norman and Clein 1956 ). Some research has also shown that bioactive antioxidants found in orange juice have been implicated in the reduction of degenerative human diseases such as canc er (Steinmetz 1993, Slattery 2000). In addition to the nutritional benefits, orange juice has a unique, delicate and desirable taste with over 200 flavor compounds in proper concentration (Jia 1999). While sugars and citric acid are major contributors to t he sweetness and sourness of orange juice, a combination of other compounds such as acetaldehyde, citral, ethyl butyrate, d limonene, linalool and octanal, also contribute to the unique flavor of orange juice (Ahmed 1978 a Jia 1999). Although there has be en a strong growth in orange juice production worldwide over the past thirty years, the United States has been experiencing a steady decline in demand for orange juice with annual per capita consumption dropping to its lowest point of 4 gallons in the past 11 years (ERS 2011). A part of the decline has been attributed to the rise of low carbohydrate diet packages such as the Atkins and Sou th Beach diets which categorize orange juice as a high carbohydrate food and may have affected consumer demand (Love 200 6). Other causes of the decline include adverse weather conditions and impacts of diseases which reduced overall juice production (ERS 2011). Oranges subjected to freezing conditions are frequently unsuitable for consumption due to the off flavors generate d, the formation of white spots on the fruit surface and the deh ydration of fruit (Milliken 191 9 Slaughter 2008). Ice crystals grow within the fruit damaging the cells and creating pathways for moisture loss and fruit dehydration (Slaughter 2008). Since 1835, Florida has periodically experienced severe freezes which have negatively affected the total citrus fruit yield (FCM 2007, Reuters 2010). In


13 addition to freezes, Florida has also experienced hurricanes (most recently Hurricane Charle y France s and J ea n ne) which have not only damaged crops and trees but also aided the spread of citrus diseases such as citrus canker (Irey 2006). Xanthomonas citri subsp. is the plant pathogenic bacterium that causes citrus canker and spreads primarily by win d and rain (Bock 2005). Citrus canker manifests as necrotic lesions on the fruit, leaves and stems of citrus plants with severe infection causing premature fruit drop, blemished fruit and twig dieback (Schubert 2001, Bock 2005). While c itrus c anker has long plagued F lorida since 1912 with periodic eradications (in 1930 and 1992) and subsequent returns (in 1986 and 1995), it has been usurped in severity and importance by c itrus g reening (Gottwald 2007 a ). Citrus greening also k nown as huanglongbing is a bacterial disea se that is widely regarded as the most severe and devastating disease of citru s (Gottwald 2007 a Batool 2007, d a Graca 2008, Lin 2008, Tatineni 2008, Shokrollah 2010). The major reasoning behind the shift in focus from citrus canker to citrus greening by r esearchers is that the later is fatal to citrus crops upon infection as opposed to the former which gradually debilitates the tree (Schubert 2001, Bove 2006). In addition, while citrus canker is primarily a cosmetic injury with lesions that do not penetrat e the albedo of the fruit and thus do not affect the quality of the juice (Stall 1983, Dewdeney 2011), citrus greening negatively alters the quality of juice resulting in little or no commercial value of the citrus fruit (Bassanezi 2009, Dagulo 2010). Furt hermore, the novelty of citrus greening in Florida (first detected in 2005), and the overall uniqueness of the disease which includes the latency of symptom development, difficulty in isolating in culture and overall potential economic


1 4 impact on orange jui ce production most especially as there is no cure, are all a major cause of concern to the Florida citrus industry (Gottwald 2007 b Lin 2008). There is therefore a great incentive to study citrus greening. The general purpose of this thesis research was to explore the utilization of juice from greening affected fruit Citrus greening, like citrus canker, is not pathogenic to human beings and the lack of consumption or commercialization of greening affected juice is usually due to its poor quality (Dagulo 2010). Specifically, this study will investigat e the possibilities of blending healthy juice with greening affected juice at 5% and 10% weight levels


15 CHAPTER 2 LITERATURE REVIEW Biological and Physical Characteristics The orange is a spherical shaped fruit that grows best in warm climates from 40 N to 40 S of the world (Braddock 1999, Spiegel Roy 1996). Citrus fruit are composed of an outer flavedo layer which showcases the exterior fruit color, as well as containing sesquiterpene oil sacs (Kimball 1999). Beneath this flavedo layer is the albedo layer whi ch is a white spongy layer that allows the absorption of water and oil (Braddock 1999, Kimball 1999). Both the flavedo and albedo serve to protect the fruit from insects and microorganisms (Kimball 1999). The albedo is a rich source in pectin, c arbohydrates, and flavanone glycosides (Braddock 1999). Beneath the albedo are the fruit sections which are portioned by membrane material with each section containing juice vesicles aligned to the core of the fruit (Kimball 1999). Each ju ice vesicle cont ains cells that consist primarily of enlarged vacuoles of juice (Kimball 1999). The juice cell also contains mitochondria which act content in juice (Canel 1996, Ki mball 1999). Citric acid accumulates in the juice vacuole during maturation of the fruit with high concentrations in the early season fruit and lower concentrations as water and sugars accumulate in the fruit (Bain 1958, Kimball 1999). Water and sugars tha t accumulate in the juice vacuole come from tree sap and continue to increase during maturation (Kimball 1999). Citrus Fruit Citrus belongs to the Rutaceae family with the sweet orange variety ( Citrus sinensis (L.) Osbeck) regarded as the most important cl ass of commercial citrus grown


16 (Kimball 1999). Sweet oranges are spherical in shape with an average diameter of 5.7 9.5 cm (Braddock 1999). Sweet oranges are extensively used for fresh fruit around the world although Brazil and the United States utilize th em primarily for juicing. About two thirds of all sweet oranges fall into the common orange cultivar with the rest of the oranges falling into navel oranges, blood oranges and acidless oranges. The harvesting seasons for different varieties overlap allowin g citrus processors to operate continuously for eight to nine months each year (Braddock 1999). In Florida, co mmon oranges varieties Hamlin (early season variety), Pineapple (mid season variety) and Valencia (late season variety) account for major orange j uice production (Cameron 2000). Hamlin variety has less cloud, a paler color and weaker flavor compared with either Pineapple or Valencia varieties albeit not statistic ally different (Attaway 1972, Hu ggart 1975). Valencia oranges, due to their superior flavor and color are grown primarily for juicing (Zanzig 1999, Kimball 1999). Valencia fruit require about 14 16 months to mature, with harvests usually from February to June depending on crop size, fruit maturity and proces sing conditions (Tetra Pak 2004) This long growing season allows for Valencia oranges to be affected by winter freezes unlike Hamlin oranges which are harvested from October to January (Cameron 2000, T etra Pak 2004). Valencia o ranges and c itrus in general, are also prone to many disease s of the leaves, roots, wood and fruit (Manner 2006). The most severe of these pathogenic diseases is citrus greening. Citrus Greening Citrus greening or uanglongbing is a devastating disease af fecting citrus plants and fruit eventually leading to the death of the trees (Albrecht 2008). Citrus greening is caused by endogenous, sieve tube restricted bacteria known as Candidatus L iberibacter spp. and is vectored from tree to tree by citrus psyllid vectors (Bove 2006).


17 Only two psyllid vectors have been id entified and they are Diaopho rina c itri in Asia and America, and Trioza e rytreae in Africa (Bove 2006). There has also been some Candidatus L iberibacter named after t he three locations spotted, i.e ., Ca. L. asiaticus in Asia (da Graca 1991), Ca. L. africanus in Africa (Jagoueix 1994), Ca. L. americanus in South America (Teixeira 2005) or whether there was an adaptation of the one specie s into new hosts and environments. There is an agreement that all t hree species spread from their natural asymptomatic hosts to the symptomatic citrus and citrus relatives. However, of the three species, Ca. L. africanus has been identified with a natural host and natural vector, Ca. L. asiaticus has been identified with a natural vector and no natural host while Ca. L. americanus has not been identified with either a host or a vector ( da Graca 2 008). T here is no known control for this disease other than prevention by removal of already infected trees (Bove 2006). In addit ion, i nfected citrus trees have a latency period of 6 1 2 months which impedes effective removal of all symptomatic trees (Bove 2006). History Citrus greening was a severe problem in 18 th century India w h ere it was called a ). Similar problems associated with a decline in citrus were also said to have been noted in 19 th century Assam, in India, and by 1912 another similar problem in both symptom and severity was noted in Bombay India (Gottwald 2007). Although this was indexed by Capoor (1963) to be possibly due to Citrus Tristeza virus, Raychaudhuri et al (1969) confirmed that it was indeed ci trus greening (Gottwald 2007 a d a Graca 2008). In 1919, the disease was identified in s outhern China and described by farmers in the region as hua nglongbing (or yellow shoot) disease (Bove 2006).


18 c itrus greening was reported in several Asian countries. In the Philippines, m ottle leaf disease was reported (Gottwald 2007 a ) I n Taiwan it was known d in Indonesia it was reported as citrus vein phloem degeneration (CVPD) (Garnier 1993, Gottwald 2007 a ). In 1947, Huanglongbing was first reported in South Africa which was similar to the now documented disease in 1943 in Southern China (Tsai 2008). In som e parts of South Africa, it was known as the because of the green color of the symptomatic fruit (Gottwald 2007 a ). It was only in 1995, when the International Organization o f Citrus Virologists held a congress in China a ). There is a possibility that citrus grown as a staple in India for over 4000 years became infected and was brought into China along the sea trade route (da Graca 2008). From China it may have spread across to other regional countries such as Philippines, Taiwan, and Indonesia either by directly being taken there or through infected propagation and insect transmission (da Graca 2 008). An alternate theory proposed by Beattie et al (2006) places Africa as the origin of the disease, possibly through an asymptomatic host such as Verpris lanceolata (Gottwald 2007 a ). It could possibly have been transmitted by an insect to citrus in Eur opean settlements in Africa, a nd then could possibly have been brought to India through infected plants or budwood 300 500 years ago (Gottwald 2007 a ). According to Beattie et al (2006) this would provide some explanation as to why this disease suddenly ap peared in India some 300 500 years ago although as earlier stated, citrus has been established in India for close to 4000 years (Gottwald 2007 a ).


19 Previously it was thought that h uanglongbing (from now HLB), was as a result of physiological disorders such as mineral deficiencies, or water logging, or due to soil borne diseases such as nematode infestation or Fusarium infection (Bove 2006). However, all those theories were later jettisoned as it was found by the researcher Lin Kung Hsiang who carried out som e surveys in Southern China in 1956 that HLB is a graft transmissible infectious disease (Bove 2006). As it became clear that HLB was spreading due to graft inoculation, there was also some evidence found that HLB could be spreading through vectors (Bove 2 006). In South Africa, it was also shown that HLB was spreading through grafting, but more importantly a citrus psyllid, Trioza erytreae was identified (Gottwald 2007 a ). Soon another citrus psyllid, Diaphorina citri was identified as another vector of HLB in India and the Philippines (Gottwald 2007 a ). The occurrence of HLB in India, China, and South Africa has posed a serious threat to regional countries that are still free from this disease (Bove 2006). Some of the countries in Africa that have cited cas es of HLB include Burundi, Cameroon, Central African Republic, Ethiopia, Kenya, Madagascar, Malawi, Mauritius, Nigeria, Reunion, Rwanda, Somalia, South Africa, Swaziland, Tanzania, and Zimbabwe (USDA 2006, Floyd 200 6 ). In Asia, some countries that have cit ed cases of HLB include Bangladesh, Bhutan, Cambodia, China, East Timor, India, Indonesia, Japan, Laos, Malaysia, Myanmar, Nepal, Pakistan, Papua New Guinea, Philippines, Saudi Arabia, Taiwan, Thailand, Vietnam, and Yemen (USDA 2006, Floyd 200 6 ). Recentl y Iran reported it s first occurrence of HLB (Faghihi 2008). This was most likely in line with the high populations of Diaphorina citri found in the citrus plantations of Hormozgan and Kerman


20 provinces of Southern Iran (Bove 2006). In 2004, HLB was detected i n Sao Paolo, Brazil (Teixeira 2005). In 2005, HLB was detected in Florida, USA (Bove 2006). Biology Candidatus Candidatus designations according to rules established by the International Committee on Systematic Bacteriology about uncultured organisms (Murray a nd Stackenbrandt 1995). Nomenclature of Bacteria (Garnier 2000, Wang 2006). HLB is a fastidiou s, phloem limited, gram negative bacteria which inhabits the phloem of citrus plants (Jagoueix 1994, Chiou nan 1998). HLB causing bacteria has not been cultured on artificial media and is present in very low titers in the host (Jagoueix 1994, Duan 2009). H LB pathogen DNA to host DNA ratios have been shown to be 1:1000 in terms of target copies and 1:13000 by mass (Li 2006). As mentioned earlier, three forms of the HLB causing bacteria have been found Candidatus Liber ib Ca Ca South Africa, the Liberibacter a fricanus and its natural vector, T. erytreae occur in cool areas of Swaziland and Transvaal, but not in hot areas of Swaziland and Transvaal (Bove 2006). This suggests that Liberibacter african us and T. erytreae are heat sensitive. However, in Asia, Liberibacter asiaticus and its natural vector, D. c itri are found in areas of hot low altitudes (Bove 2006). This could be seen in the Ningnan county of Sichuan (South China), where 100% of the tree s were infected with HLB at altitudes of 1090 to 1200 m above sea level, but only 3% of the trees were found to be infected with


21 HLB at altitudes of 1385 1620 m above sea level (Bove 2006). T his suggests that Liberibacter a siaticus and D. c itri are heat to lerant. In Sao Pa u lo, though Liberibacter asiaticus was found in about 10% of HLB affected tre e s, the remaining 90% of affected trees was due to a new specie, Liberibacter americanus (Bove 2006). The only rep orted citrus psyllid in Sao Pa u lo is D. c itri w hich suggests that it possibly spread both Liberibacter asiaticus and Liberibacter americanus (Bove 2006). Also it has been shown that Liberibacter americanus survives in both cool and warm temperatures which suggest it is heat tolerant. In Florida, D. c it ri was reported in 1998, and HLB from the specie s Liberibacter asiaticus was subsequently observed in 2005 (Bove 2006). All three species of HLB have shown virtually ind istinguishable symptoms in the c itrus plant (USDA 2006). In addition, all citrus plants are viable hosts for HLB (USDA 2006). The more susceptible hosts include sweet oranges, tangelos, and mandarins while less susceptible hosts include grapefruits, lemons, r angpur lime, calamondins, and pummelos (USDA 200 6). Non citrus species such as M urra ya paniculata can also serve as pathogen hosts (USDA 2006). Spread HLB can be spread by grafting with diseased budwood (USDA 2006, Wang 2006). This involves utilizing an infected bud and inserting it into a healthy rootstock branch. HLB can also be transmi tted through vectors (citrus psyllids) of which two, T. erytreae and D. c itri have already been identified. As already stated earlier, T. e rytrea is the primary vector for the African form and D. c itri is the primary vector for the Asian form. It is being suspected that D. c itri is also the vector for the Liberibacter americanus (USDA 2006).


22 D. c itri is found only on citrus (crops and ornamentals) and closely related Rutaceae (citrus family) (USDA 2006). D. c itri can also be found o n M urraya paniculata an ornamental rutaceous plant known as jasmine orange (USDA 2006). Adult Asian psyllids are small (3 to 4 mm) with yellowish brown bod ies and grayish brown legs. Adults also have mottled brown wings and tend to live up to 6 months ( Davis 2005 ). Adults ar e hem ipteran insects with pierc ing sucking mouthparts that allow it to feed on the phloem of citrus or other rutaceous plants. Psyllids should not be confused with aphids which are similar in size and affect young citrus leaves, as psyllids are more active than aphids, and fly from shoot to shoot upon any disturbance (Davis 2005). Eggs are br ight orange, flattened, oval and are deposited on newly emerging citrus tissue (USDA 2006). Nymphs are yellow or brown and fee d on leaves and stems (USDA 20 11 ). Adults feed in a slanted position, with their heads down almost touching the surface, and their rear up at an angle (Davis 2005). The Asian citrus psyllid is most likely to be found on shoots and its population increases during periods of active plant growth (USDA 200 6). T. e rytreae is physically very similar to D. citri with a slight difference in color as it is black (Pena 2002). Adult African psyllids eggs are oblong in shape, yellow when laid but turn brownish (Pena 2002). The eggs are laid on the edges or main ve ins of young leaves anchored to the lea f blade by short appendage (Pena 2002). While female Asian psyllids lay up to 800 eggs and live for 3 to 4 months, the female African psyllids lay roughly 600 eggs and live for only 1 month (Pena 2002). There are also slight differences in life cycles with the African psyllid having a slightly longer life cy c le (6 weeks) compared to the Asian psyllid (4 weeks) ( Pena 2002).


23 Diagnosis Historically HLB has been detected primarily by electron microscopy (Folimonova 2011). However the difficulty in isolating and culturing HLB has hampered efforts to understand its biology and mechanism (Sagaram 2009). There has only been one recorded report of cultivation of HLB which used a medium known as Liber A which contains monobasic and dibasic potassium phosphate, NADP and citrus vein extract (S e ch ler 2008). S e ch ler (2008) inoculated the bacteria growing on this medium in young citrus plants and observed similar symptoms with blotted brown leaves. Colonies became visible on Liber A after 3 to 4 days at 28 C and were irregularly shaped and ran ged in size from 0.1 0.3 mm (S e ch ler 2008). However, as these plants were young and unable to bear fruit, there is some uncertainty that th e bacterium was in fact HLB (S e ch ler 2008). Due to th is limitation of cultivation methods, other methods of analysis have been employed in detecting and characterizing HLB. One method involves the use of monoclonal antibodies on different HLB strains to differentiate several serotypes among HLB species (Gao 1993, Hocquellet 1999). The first molecular technique was a DNA hybridization method (Teixeira 2008). The DNA probe As 1.7 recognizes Liberibacter africanus (Planet 1995) while In 2.6 and In 1.9 recognize Liberibacter asiaticus ( Villechanoux 1992). However polymerase chain reaction (PCR), a DNA based method that involves amplification of 1160 bp fragment of the liberobacter 16S rDNA gene is used most frequently to characterize HLB strains (Jagoueix 1996). PCR has gained popularity compared to other method s due to its simplicity, sensitivity and reliability (Tatineni 2008). Comparisons of the 16S rDNA (Jagoueix 1994) and 16S/23S intergenic region (Jagoueix 1997) have confirmed that HLB is a gram negative


24 bacterium and more precisely of the alpha subdivision of Proteobacteria (Teixeira 2008). Liberibacter has been tested by conventional PCR as well as nested PCR (Teixeira 2008) and real time PCR (Li 2008). Li (2008) has shown that real time PCR is at least a 100 fold more sensitive than conventional PCR at de tecting 16S rDNA copies from HLB per reaction. Teixeira (2008) has also shown that nested PCR has a similar sensitivity to real time PCR, both being as much as 1000 times more sensitive than conventional PCR albeit all tested positive for HLB. Although HLB quantified in mottled leaves can amount to 10 7 liberobacter per gram of mottled leaf (Teixeira 2008), it has been shown that HLB is unevenly distributed in the citrus tree and can thus go undetected if the organ being assessed by PCR does not contain any bacteria (Tatineni 2008). Tatineni (2008) found HLB in floral parts (petals, pistils and stamens) despite no obvious symptoms as well as in fruit parts (peduncles, seed coats, and collumella). Suggested organs for detection include the fruit parts with the largest HLB population, followed by the bark, the roots and the leaf midrib (Tatineni 2008). These suggested organs indicate that HLB moves within the phloem direction (Tatineni 2008). Citrus psyllids feed on the phloem from the foliage, simultaneously tr ansmitting the HLB pathogen into the citrus plant. There is some considerable damage done on the leaves which are left pitted, with pits opening to the lower leaf surface (Pena 2002). In severe attacks, the leave blades are cupped, distorted and turn yello w especially when young (Pena 2002). Symptoms At an early stage of infection, the citrus shoots take up a characteristic yellow color, and it was consequently ident h by Chinese farmers (Bove 2006). Sometim es the citrus plant may have only one yellow


25 shoot which eventually grows into a larger yellow branch (Bove 2006). Although Bove suggests this to be a reason why it was referred to by other researchers as yellow it was merely a translation error into English. This has been confirmed by the Chinese farmers of the Chaosan District of S outhern China where HLB was observed as their original and correct intent of the word ( Gottwald 2007 a ). At later stages of infection, these yellow branches grow and wrap themselves around the tree eventually canopying the whole tree (Bove 2006). At that point the tree can be said to be fully infected (Bove 2006). In addition to the yellow s hoots, the leaves also take a mix of yellow, green hue with no sharp limits between each color (Bove all three continents observed (Asia, Africa, America s ) (Bove 2006). The blotchy mottled leaf can be distinguished from mineral deficiencies such as zinc, iron, magnesium, manganese and calcium, which also induce yellow flushes on leaves, by the asymmetry of the blotching in the blotchy mottled leaf (Bove 2006). Generally, yellowing of a leaf by mineral deficiencies is symmetrical on the leaf, while HLB is asymmetrical and irregular (Bove 2006). With enough time the whole leaf may turn yellow (Bove 2006). In addition to the blotchy mottle, the infected citrus leaves may also become large and leathery with swollen lateral veins (Bove 2006). Eventually, this leads to defoliation and dieback (Bove 2006). Blotchy mottle is usually seen to affect trees with large and healthy leaves (Bove 2006). Although it is the most recognizable characteristic, it sometimes can be difficult to locate especially in cases in later stages with uniform yellowing on the leaves (Bove 2006). In some cases, HLB occurs simultaneously with


26 other citrus diseases/symptoms and as such this could only add to d ifficulty in assessing (Bove 2006). Blotchy mottle is best observed on sweet orange trees ; however most citrus species show it including some mandarin varieties such as Tejakula Bali and Clementine in South Africa (Bove 2006). There are als o some fruit sy mptoms associated with HLB although not specific to HLB, and could be found in stubborn disease (Bove 2006). Symptomatic fruits are usually small, lopsided, asymmetric, and with a bent fruit axis (Bove 2006). The fruit is also poorly colored with the pedun cular end of the fruit turning yellowish orange, while the stylar end of the fruit turns pale green (Bove 2006). Also when pressure is exerted with a finger, a silver mark appears on the rind (Bove 2006). Seeds which are brownish black in color are also of ten aborted in the symptomatic fruit (Bove 2006). Although this can be greatly associated with HLB, it can also be associated with stubborn disease (Bove 2006). These fruit symptoms are more readily noticed in sweet oranges, mandarins and pummelos (Bove 20 06). Juice Flavor Impact Orange juice is flavor is among the most popular fruit beverage flavors in the world (Shaw 1993, Selli 2004). Orange juice flavor is also the most delicate and complex of citrus flavors (Shaw 1993). Although the sweetness of the su gars and sourness of the organic acids impacts flavor characteristics in orange juice, its fresh and unique flavor is due to the complex combinations between volatile aroma compounds that have an interdependent and quantitative relationship (Kimball 1999, Selli 2004). To further understand the complex nature of orange juice flavor, it is essential to accurately quantify as many volatile compounds as possible (Moshonas 1994). Other factors that affect the flavor of the orange juice are the different proporti ons of the volatile


27 compounds (Shaw 1979), the taste thresholds of volatiles (Patton 1957), and synergistic effects between volatiles (Shaw 1980) (Nisperos Carriedo 1990). Shaw (1977) identified over 150 volatile compounds in orange juice or in flavor frac tions derived from orange juice (Ahmed 1978 b ). Johnson (199 6 ) identified over 200 volatile compounds in the juice of sweet oranges (Selli 2004). The volatile compounds present in fresh orange juice originate from either the juice contained in the juice sac s during extraction, or from the two oil sources (peel and juice) (Hui 2010). Peel oil is found primarily in oval shaped sacs in the flavedo of the peel and its constituents include d limonene (about 90 percent), a sesquiterpene, with other monoterpenes an d sesquiterpenes in trace amounts (Kimball 1999). D limonene, b pinene are the major constituents of peel oil (Ahmed 1978 c ). There is also oil found in globular bodies in juice sacs get dispersed in juice during extraction (Davis 1932, Hui 2 010). Valencene is the second most abundant terpene after d limonene found in orange juice, particularly juice oil (Maarse 1991, Elston 2005, Dagulo 2010) The flavor compounds in orange juice are 0.02% of its weight and important contributors to orange f lavor are hydrocarbons (75 89%), aldehydes (0.6 1.7%), esters (1%), Ketones (1%) and alcohols (1 5%). (Nisperos Carriedo 1990, Jia 1998, Selli 2004). In addition, only a small fraction of volatile compounds present in food have an primary impact on the aro ma and flavor (Qiao 2008). Ahmed (1978) identified pinene as major contributors to orange juice. There is some disagreement about the contribution of D limonene to orange juice flavor. Kimball (1999) has suggested that D limonene acts as a carrier of flavors than as an actual contributor itself. However, Fan (200 9 ) reports that


28 d limonene actually has a citrus like aroma. B myrcene is the second most abundant terpene in free form after d limonene and contributes a lemon musty, flavor to orange juice (Fan 200 9 ). Linalool and Octanal are responsible for fruity flavors and herbal notes pinene has a fruity and pin e y aroma (Hognadottir 2003). The progress in the quantification of key volatil e compounds has been largely dependent on available analytical methods (Nisperos Carriedo 1990). Gas chromatography (GC) analysis is a valuable method to detect flavor compounds in orange juice ( Qiao 2008 ). Prior to analysis, volatile compounds are isolate d, extracted and concentrated, adsorbed and separated in a capillary column before purification (Lindsay 1996). There are four main types of GC analysis methods that vary in the transfer of samples into the column and they include direct injection, static headspace, dynamic headspace and solid microextraction ( Snyder 1988, Jordan 2005 ). The direct injection method consists of using a gas syringe to extract aromas from the juice into the GC injector (Reineccius 2006) This method was used by Schreier (1977) to quantify 39 volatile compounds that are primary contributors to orange juice from a single sample (Moshonas 1994).In addition, Moshonas (1987) quantified 24 volatile constituents from one sample each of Valencia and Temple oranges also using direct inje ction gas chromatography (Moshonas 1994). While the direct injection method has been used successfully, it uses a low amount of gas sample which ensures only volatiles of a sufficiently large conc entration are analyzed ( Reineccius 2006, Grodowska 2010 ). He nce, the static and dynamic headspace methods were introduced to capture more volatiles of lower concentration. The static headspace method involves the


29 establishment of a thermodynamic equilibration of volatiles with an inert gas above the sample enclosed in a vial (Wu 1998). An aliquot of the equilibrated headspace is then injected into the gas chromatography system (Wu 1998 ). Similarly, dynamic headspace uses a carrier gas, to purge the volatiles in the headspace unto an adsorbent or cryogenic trap (Niel sen 2010 ). The cryogenic trap is less sensitive than the adsorbent trap and captures most headspace vapors (Nielsen 2010 ). However, the disadvantage is that water vapor is usually the most abundant head space vapor and is captured in large amounts in a cry ogenic trap (Nielsen 2010 ). Nisperos Carriedo (1990) quantified 20 volatiles from 15 fresh orange juices and 14 processed orange juice products using static headspace GC analysis. Moshonas and Shaw (1992) also compared static and dynamic headspace GC to q uantify 16 volatiles in four fresh orange juice samples (Moshonas 1994). Also static headspace analysis was used by Shaw (1993) to quantify 19 volatiles from another set of four fresh orange juice samples (Moshonas 1994). Although static headspace GC analy sis is successful at quantifying compounds and relatively easy, it is not effective in measuring the more volatile orange juice compounds pinene (Cadwallader 1994). Therefore, dynamic headspace or purge and trap GC analysis was the co nsidered. Moshonas (1994) quantified 46 volatile constituents from 13 samples of both hand extracted and mechanically extracted orange juice using dynamic headspace GC analysis. Moshonas (1997) also assessed the quantitative and qualitative differences be tween freshly squeezed juice and pasteurized juice using dynamic headspace GC analysis and subsequently quantifying 46 volatiles that were not significantly different in either of the juices.


30 A relatively new method of GC analysis called solid phase microe xtraction (SPME) technique (Zhang 1993, Jia 1998). Solid phase microextraction is a solvent free sample preparation technique where a fused silica fiber coated with polymeric organic liquid is immersed in the headspace above the sample to adsorb the volati les by concentration on the coating, and consequently to be transferred to a GC instrument for desorption and analysis (Zhang 1993). The principle behind SPME is the equilibrium partitioning of flavor compounds between the headspace and the coated fiber, and this mainly depends on the heating time, temperature, sample volume and volatile headspace concentration (Jia 1998). The lack of sample preparation and solvent extraction makes SPME GC analysis simple, fast, low cost and portable compared to dynamic he adspace, liquid liquid simultaneous extraction and distillation, and traditional static headspace (Zhang 1993, Jia 1998, Bazemore 1999). SPME has been applied to orange juice by several researchers (Yang 1994, Jia 1998, Bazemore 1999). It has been shown th at an increase in temperature of orange juice amounts to a decrease in absorption of volatile compounds on the coated fiber (Jia 1998). There has been some confusion as to flavor of greening affected juice. Early reports by Mclean and Oberholzer (1965) of greening affected juice described its flavor not detect the difference between asymptomatic and healthy juice, albeit an expert panel noted the former as being sweete r than the later. This sweetness was largely due to a lower acidity and a higher B rix/acid ratio than healthy juice (Plotto 2008). Brix levels were lower in asymptomatic juice than in healthy juice albeit non significant (Plotto 2008). In addition, asymp tomatic juice from late harvest (Valencia) had higher


31 pinene, and 2 methylpropanol than healthy juice (Plotto 2008). Dagulo (2010) however reported that B rix levels in symptomatic juice were significantly lower than hea lthy juice and acidity levels in symptomatic juice were significantly higher than healthy juice. Dagulo (2010) also confirmed that the brix/acid ratio in asymptomatic juice from a late harvest (Valencia) were higher than healthy juice. However, Br ix/aci d ratios of asymptomatic juice were in general similar to healthy juice (Dagulo 2010). Dagulo (2010) reported symptomatic juice had lower level of esters pinene and my r cene, alcohols like lina l ool and aldehydes such as hexanal and nonanal. Symptomatic juice also has lower valencene levels than control and asymptomatic juice (Dagulo 2010). Valencene has no aroma activity (Elston 2005) and is used as a marker for fruit qu ality/maturity because its concentration increases as fruit matures (Sharon Asa 2003, Dagulo 2010). This suggests that greening affected fruit might not have matured in a normal way (Dagulo 2010). As greening investigated the presence of bitter flavanone glycosides to see if it was responsible for the bitterness. Flavanone glycosi des are a specific form of flav o noids found in citrus juices and are widely used as a differentiation of species, varieties and in cases of juice adulteration (Coffin 1971 Mouly 1994, Mouly 1998). Flav o noids are yellow pigments found widely in nature and are the most important pigments in nature along with carotenoids and tetrapyrrole derivatives (Ooghe 1994). Among the common flavanone glycosides are hesper i din, narirutin, naringin and neohesperedin (Mouly 1998). Hesperidin and narirutin are found in sweet oranges and are tasteless (Rapisarda


32 2003). Naringin and neohesperidin are not found in sweet oranges (Rouseff 1987) and cause bitterness in grape fruits ( Citrus paradisi Macfad.) and sour oranges ( Citrus aurantium ), where they are primarily found (Kometani 1996, Dagulo 2010). Dagulo (2010) confirmed that no concentration of naringin or neohesperidin w as found in either the control, asymptomatic or symptomatic juices. However, as expected, narirutin, hesperidin and didymin were found in all the juices albeit not contributing to the overall flavor (Dagulo 2010). Dagulo (2010) also investigated the presen ce of polymethoxylated flavones which have been reported by Swift (1965) to impart bitterness in juice. Polymethoxylated flavones are mainly found in the flavedo portion of the peel and corresponding peel oil (Chen 1997, Green 2007, Dagulo 2010). The most common polymethoxylated flavones are nobiletin, sinensetin and tangeretin (Braddock 1999). Dagulo (2010) found that polymethoxylated flavones were far below their bitterness thresholds in the control, asymptomatic and symptomatic juices. Dagulo (2010) then investigated the impact of limonin on the control, asymptomatic and symptomatic juices. Limonin is a member of a group of triterpenoid compounds known as limonoids (Hasegawa 1982). Limonin although intensely bitter is found largely as a non bitter limonin precursor in oranges in juice sacs known as limonoate A ring lactone (LARL) which converts to limonin under acidic conditions and heat after extraction, and is accelerated under the effects of limonin D ring lactone hydroxylase (Hasegawa 1982, Abbasi 2005 ). This is known as delayed bitterness and is occasionally observed in sweet orange ( Citrus sinensis ) (Abbasi 2005, Dagulo 2010). The concentration of LARL decreases as fruit matures, and is often used as a marker for fruit maturity (Fong 1992). In additio n, as fruit matures, some of LARL is converted to limonin 17 D


33 glucopyranoside (LG), another tasteless compound, leaving less LARL to convert to limonin (Fong 1992, Dagulo 2010). Dagulo (2010) found that limonin concentrations were higher in symptomatic juice than in control juice. Dagulo (2010) suggested the possibility of the conversion of LARL to LG being inhibited or delayed in symptomatic fruit, giving the appearance of fruit immaturity. Gaudagni (1973) reported the threshold level of limonin to be 6 symptomatic juice to be 2.41 to 5.41 would detect as bitter, albeit bitter sensitive people might find symptomatic juice bitter. In addition, nomi lin is a limonoid found in the seeds of oranges, lemons, and in the vesicles of grapefruit (Rouseff 1982). Nomilin is reported to be twice as bitter as limonin (Rouseff 1982). Simil ar to limonin, nomilin is at it s highest concentration in the early parts of the season and drastically reduces as the fruit matures (Rouseff 1982). Baldwin (2010) reported that nomilin concentration is high in symptomatic juice albeit not above the taste threshold. Control HLB has no known cure. When it was found that HLB was a bacteria and not a virus, injections of infected trees with tetracycline were tried in some countries such as South Africa, Taiwan and Indonesia, but was soon disbanded not only for ecological reasons but also because tetracycline is bacteriostatic, onl y limiting the growth of the bacteria, rather than bactericidal which would kill the bacteria outright (Bove 2006). In addition to the aforementioned reasons for the disbandment, tetracycline had to be applied yearly rather than just once. Similarly, treat ment with rolitetracycline only reduces symptom expression and can be said to be bacteriostatic as well (Eppo 2011 ).


34 As such the most effective way of control is by preve nting infection of the trees through vector control programs (Bove 2006). Since areas not infected with HLB are posed a most severe threat, it is important for those areas to establish strict quarantine measures to keep it out (Bove 2006). For areas newly infected with HLB, Bove (2006) suggests that there are only two ways to reduce the po tential damage that could be caused after a rapid survey of the extent of infection. The first way Bove suggests is by eliminating all infected citrus trees. This can be difficult to accomplish as HLB has a latency period, and sometimes early infected tre es do not express symptoms until roughly 6 12 months after infection (Bove 2006). As such removal of all symptomatic trees does not guarantee a successful removal of the disease in the area (Bove 2006). The second way Bove (2006) suggests is by keeping psy llid populations as low as possible. This is usually carried out by using systemic insecticides usually applied to the tree trunks. In Florida, D. c itri is usually susceptible to chlorpyrifos, fenpropathrin, imidacloprid, and kaolin (Sullivan 2010). These insecticides reduce the psyllid population to a low level but may require repeated application (Sullivan 2010). In Taiwan, the psyllid population is usually controlled by the combination of insecticides and nymph parasitoids which have been reported to kee p the psyllid population low (Chiou nan 1998). Economic I mpact Huanglongbing is a devastating disease to citrus trees and the citrus industr y in general. In addition to it s rapid spread and symptom manifestation, there is no cure for this disease at the m oment with diseased trees or asymptomatic trees in diseased orchards felled, and psyllid populations kept low with the aid of parasitoids and insecticides. As such, it is clear that when HLB is present it has a very severe impact on


35 costs to farm growers a nd processors. Even when not present, HLB still provides considerable costs to stakeholders in the form of prevention and routine inspections. Since it s discovery there have been close to 100 million infected trees that have been destroyed in areas such a s South and South East Asia, South Africa, India, the Philippines, Indonesia and the Arabian Peninsula (Gottwald 2007 a ). This has generally reduced the yield for domestic consumption in these countries, and for exports. HLB has also reduced the citrus yiel d worldwide. As of 2005/2006, Brazil, China and the 44.2 million me tric tons (FAS 2006). In Sao Pa u lo, Brazil, 18.2 mill ion metric tons of citrus fruit were produced in 20 06 with estimated yearly earnings of $5.6 billion and also providing up to 400,000 jobs (Lopes 2010). However, with the discovery of Liberibacter americanus in 2004, HLB has spread to 268 municipalities with approximately 24% of the 96,000 citrus blocks in fected (Lopes 2010). Similarly, the United States produced 11.58 million metric tons of citrus in 2006. The top two major citrus producing regions of the United States which are Florida and California account for 96% of total production in the US. Florida has estimated earnings of $9 .3 billion support ing 100 ,000 jobs (National Research Council 2010) and producing 7.83 million metric tons in 2006 (FAS 2006). However, since the discovery of Liberibacter asiaticus in 2005, HLB has spread throughout most of Fl orida with about 60, 000 acres of citrus trees decimated which is equivalent to 10% of the total yield (ERS 2007). It is projected that in the next 7 12 years virtually all current citrus plantings w ill be affected by HLB disease (Stover 2008). Also, despit e the fact that Californi a is at the moment HLB free, it s yield capacity of 3.29 million metric tons which it produced in 2006


36 (Chavez 2010) China which produced 14.4 millio n metric tons of citrus in 2006, has been dealing with HLB for close to 100 years. China has the refore been forced to expand it s production areas to places where citrus psyllid vectors find unsuitable (high altitude regions) trying to meet the burgeoning d omestic demand (PAMCO 2006). Although this has resulted in an overall expansion in production and yield of citrus over the past 50 years, potential earnings could be much higher with a more utilization of land ( Xinlu 2001 ). Blending Harvested oranges vary naturally in juice characteristics (soluble solids, acidity, peel oil etc ) and as such blending is performed by juice processors as a way to provide some consistency to processed juice which has well regulated standard parameters (Kimball 1991). Juice of different varieties can be blended to optimize flavor quality in juice thus giving juice processors more flexibility during processing (Kimball 1991). Another benefit of blending is the ease of manipulation of the juice characteristics as it is more diffi cult to physically manipulate sugar and acid content in juice (Bates 2001 ). Perhaps the most important advantage of blending lies in its ability to utilize juices defective in sensory or nutritional attributes thus adding value to the juice (Bates 2001 ). S everal researchers have investigated the benefits of blending of juices as a means to overcome their sensory or nutritional defects. Bhardwaj and Mukher jee (201 1 ) employed blending as a strategy to utilize kinnow mandarin juice which becomes bitter and und esirable under storage as limonate a lactone, a non bitter compound, is converted to limonin which is bitter in taste. Hence, Kinnow juice was blended with


37 pomegranate juice and Aonla juice, both with added spice extracts, to improve the sensory and nutrit ional characteristics of the ju ice (Bhardwaj and Mukherjee 201 1 ). Suitable blending ratios were found by the authors who optimized flavor and improved nutritional content in the kinnow bl end (Bhardwaj and Mukherjee 201 1 ). Similarly, Raj et al. (201 1 ) inves tigated the feasibility of blending sand pear juice which is undesirable to consumers due to its high acidity, astringency and grittiness. Sand pear juice was blended with apple juice which is considerably milder in acidity while higher in sweetness, with an aim to producing a more favorable flavor and nutritional ly adequate juice (Raj 201 1 ). The authors also found suitable blending ratios that achieved this aim (Raj 201 1 ). Juice blending is performed usually to meet certain specified juice characteristics of interest such as Brix percent acid, Brix /acid ratio, percent oil, percent pulp and sometimes limonin concentration in parts per million (Kimball 1991). However, as shown in the literature cited above, the converse is also frequently used, i.e. blending of different jui ces in varying proportions, often with the aim of finding a suitable ratio. These blending proportions, which can either be by volume or mass, are usually carried out in situations where specific juice characteristics may not be entirely representative of the complex citrus juice flavor or nutrition quality. In such cases, a group of blend ratios are determined prior to testing by sensory evaluation as well as analytical methods, with successful blends having strong preference ratings by consumers. Sensory Evaluation O verview Discrimination tests are often useful when trying to demonstrate that two similar products have perceivable differences (Meilgaard 2007, Stone and Sidel 2004).


38 Conversely, discrimination tests can also help determine if two products are sufficiently similar to be used interchangeably (Meilgaard 2007). If the differences between products compared are too large then it becomes obvious to detect and discrimination testing is not useful (Lawless 1999). As such, perceived differences would ha ve to be subtle to increase the usefulness of discrimination testing (Lawless 1999). There are numerous discrimination tests available to a sensory scientist but the most used tests include paired comparison test, duo trio test and the triangle test (Stone and Sidel 2004). There are two forms of the paired comparison test namely the directional paired comparison (2 alternative forced choice ; 2 AFC ) and the difference paired test (simple difference test). The 2 AFC test is utilized by a sensory scientist aw are of the specific sensory attribute difference between the two samples (Lawless ust to identify which is different often with the sensory scientist unaware of if the two samples differ (Lawless 1999). Although Lawless ( 1999 ) finds 2 AFC test as comparatively more efficient than the simple difference test, Stone and Sidel (2004) are wa ry of the limitations of the 2 AFC test especially when ingredient differences may result in more than one to one (multiple) impact on the sensory attributes in the sample. In addition, the subjects (panelists) may not fully understand the specific sensory attributes to identify in a 2 AFC test (Stone and Sidel 2004). Statistically there is a one in two chance of guessing correctly that both samples are different, and therefore the probability of the null hypothesis that both are not different is P null = 0. 5 (Lawless 1999). This is


39 comparatively less efficient than the triangle test requiring more correct responses (and more participants) to achieve statistical significance. The triangle test was developed by Helm and Trolle (1946) of Carlsberg Breweries, Co penhagen, Denmark, where it was used for control work and for the selection of taste panel members (Mounts and Warner 1980, Stone and Sidel 2004). In a triangle test, a panelist is presented with three samples, two of which are identical and one is differe nt, and asked to identify the different sample (Meilgaard 2007). The chance probability of identifying the correct sample (different sample) is 0.33 and is more statistically efficient than either the duo trio test or the paired comparison test. However, l imitations exist for the triangle test and it is not effective for products with high sensory fatigue, products that involve carryover or adaptation (Meilgaard 2007). In addition some subjects may find testing three samples too confusing or difficult as t he subject has to recall the sensory characteristics of two products before evaluating the third and then making a decision (Stone and Sidel 2004,Meilgaard 2007). The Duo Trio test was developed by Peryam and Swartz (1950) as an alternative to the triangl e test (Stone and Sidel 2004). The duo trio test involves a subject presented with three products, one of which is identified as reference (or control) reference) with t he aid of the third reference sample. Similar to the paired comparison test, the duo trio test statistically has a one in two chance of guessing correctly that both samples are different and is less efficient than the triangle test (Meilgaard 2007) Juice Analysis A portion of th e juice treatments (blends) w as set aside to determine the soluble solids content ( Brix ) percent acidity and color


40 Soluble s olids Orange juice contains a variety of chemicals with sugars or carbohydrates being the most predominant chemicals (Kimball 1999). These carbohydrates represent roughly 80% of the soluble solids in orange jui ce (Kimball 1999, Kelebek 2009). The main carbohydrates in orange juice are sucrose, glucose and fructose in the ratios of 2:1:1 (Kimball 1999, Kelebek 2009). The sucrose molecule consists of one molecule of glucose and one molecule of fructose (more speci ficall D glucopyranosyl unit and D fructofuranosyl unit) linked head to head (reducing end to reducing end ) (Kimball 19 99, BeMiller and Whistler 1996) As sucrose consists of one part glucose to one part fructose, the density of aqueous solutions of su crose mixed with equal parts of fructose and glucose are similar to densities of 100 percent sucrose (Kimball 1999). Juice density is a very important quality control parameter in the juice industry (Kimball 1999, Cepeda 1999, Zuritz 2004). Juice densitie s are used in weight and volume parameter adjustments, standardizing laboratory results, managing inventories and marketing (Kimball 1999). Insoluble solids such as cloud and pulp contribute little to the orange juice density (Kimball 1999). As orange juic e is a sugar containing solution, its density can be determined by scales that apply to pure sugar solutions (Kimball 1999). However, soluble solids in orange juice include carbohydrates and non carbohydrates (Kimball 1999). Organic acids and their salts contribute to about 10% of soluble solids in orange fruit (Cayuela 2008). In order to account for noncarbohydrates in soluble solids, a correction is usually applied to density measurements as sugar scales and tables are used (Kimball 1999). The current sc ale used by th e processed juice industry is based on relating the concentration of sucrose solution to solution density at a temperature of 20 C (Kimball


41 Brix e sucrose solutio n (Redd 1986). Brix is usually determined by a hydrometer or weighted spindle calibrated to read directly in percent sucrose (Redd 1986). The principle behind the hydrometer lies with the buoyancy of the spindle which is directly proportional to the densi ty of the solution (Kimball 1999). Therefore less dense juice would have a lower lying spindle while more dense juice will have a higher lying spindle. However, dissolved gases could affect the accuracy of spindle readings because it affects the buoyancy of the spindle (Kimball 1999). In addition, foam on the brim of the juice makes hydrometer readings difficult (Kimball 1999). As temperature affects the density of a solution, Brix hydrometers have built in thermometers along with a temperature correction scale used to correct Brix readings (Kimball 1999). The viscosity of concentrated orange juice however makes the weighted Brix spindle impractical; as such the refractometer is preferred as a more convenient method of determining the Brix of orange juice (Redd 1986). The principle behind the refractometer is that light travels fastest in a vacuum. However when light passes through a medium (a liquid for instance) it moves slower and is bent (refracted) at an angle. The size of this angle depends on the density of the medium. Hence in a refractometer, light passes through its fogged prism and is refracted upon encountering the juice sample. The critical ray is the ray that t ravels parallel to the surface of the prism representing the minimum angle at which the scattered light can strike the prism (Kimball 1999). The refractometer is Brix calibrated with the critical ray representing the Brix value of the medium (Kimball 1999). All scattered light necessarily falls below this critical Brix value as they all have a larger


42 refraction angle. The shadow or dark area above the critical Brix value helps provide a contrasting boundary layer to the critical Brix for better visibility (Kimball 1999). The refractometer, although more convenient than the spindle, also has some sources of errors. One of the greatest sources of error is the fac t that citrus juices, especially concentrates, produce an indistinct shadowy layer between the light and dark zones of the refractometer, allowing for a fairly wide range of possible Brix readings (Kimball 1999). Another sou rce of error is reading the B rix without proper calibration (Kimball 1999). Distilled water can be used to calibrate the refractometer and is sufficient in most cases (Kimball 1999). In addition, temperature fluctuations affect Brix readings and as such temperature corrections are ma de for Brix readings from refractometers that do not account for temperature. E quation 3.1 below, adopted from Kimball (1999), is used to correct for temperature: ( 0 1 ) However many modern refractometers make this correction automatically (Kimball 1999). In addition to temperature corrections, acid corrections are also n ecessary to account for the soluble acid and their salts in the juice. As mentioned earlier, citric acid accounts for over 90% of the organic acid content in juice. It must be remembered, however, that other organic acids such as malic acid account for the remaining 10% of the organic acid content in juice. Also, titration does not account for acid salts which may account for 20% of the total salts and acid s and can affect the Brix reading (Shaw


43 1983 Kimball 1999 ). However, the error in Brix reading fro m undetected salts is usually insignificant on an industrial basis and is usually ignored by industry (Kimball 1999). E quation 3.2 below, adopted from Kimball (1999) accounts for citric acid: ( 0 2 ) Modern refractometers do not account for this correction and manual corrections are made to Brix readings. Percent acidity Titratable acid is a measure of the acid content of orange juice by t itration with an aqueous alkali solution (Redd 1986).In this experiment, titratable acid was determined by acid titration with sodium hydroxide (NaOH) acco rding to the met hod outlin ed by Kimball (1999) in Equation 3.3 shown below : ( 0 3 ) Although there was some controversy as to what pH should be taken as the endpoint for acid titration of orange juice, Kimball (1991) reports that the pH of 8.2 is used by the USDA in determining grade standards for citrus juices. The Associatio n of Official Analytical Chemists (AOAC) recommends a normality of 0.1N (N = normality = number of moles of H + or OH ) for acid titration (Kimball 1991). Brix /acid ratio and B rimA index The Brix /Acid Ratio is an empirical ratio found by dividing the ac id corrected, temperature corrected Brix by the percent t itratabl e a cidity (Kimball 1999). E quation 3.4 is shown below: ( 0 4 )


44 Fell a rs (1991) reports that the B rix / acid ratio is the most commonly used indicator of fruit maturity and palatability (Yoon 200 6 ). In California, the fresh fruit market requires a B rix / acid ratio of 8:1 or 8, while the fresh fruit market in Florida requires a B rix / acid ratio of at least 10:1 or 10 (Kimball 1999). However, the B rix /A cid ratio of commercial juice in Florida is required to be at least 13 and can be usually accomplished through blend ing (Kimball 1999). Consumers prefer juices with B rix /A cid ratio ranging from 15 to 18 depending on the product and individual tastes (Kimball 1999). The mammalian tongue tastes a variety of compounds but can only discriminate between sweet, bitter, sou r, salty and umami (taste of sodium monoglutamate) (Adler 2000). About 50 to 100 taste receptor cells are clustered in taste buds distributed on the surface of the tongue and on the palate (Alder 2000, Kinammon 1992 ). Each receptor is er and has numerous microvilli about 2 the taste pores on the tongue (Kimball 1999). Taste is detected when chemicals (taste stimuli) diffuse through the taste pores and reach the apical membranes of taste receptor cells (Kinammon 1992 ). The chemicals interact with the microvilli resulting in a membrane conductance change in the taste receptor cell, depolarization, action potential initiation, and release of the transmitter onto gustatory afferents (Kinammon 1992). Taste receptors a re very sensitive and are replenished every 12 to 17 days (Kimball 1999). In orange juice, the sourness of the organic acids and the sweetness of the sugars compete for the same receptor sites which makes the B rix /A cid ratio important measure of juice flavor quality (Kimball1999). However, the difficulty with B rix / a cid ratio is that a single ratio can have varying amounts of soluble solids content and acidity leading to inconsistencies in flavor (Obenland 200 9). Jordan (2001)


45 proposed a new parameter known as the BrimA index as a means to meet this difficulty (Obenland 2009). The Br imA index proposed multiplying t itratable a cidity by a constant which varies according to fruit type and then subtracting that ove rall value from the Brix (Obenland 2009). E quation 3.5 is shown below: ( 0 5 ) Jordan (200 Obenland (2009) reports that k = 3, 4 or 5 give very similar flavor correlations. The 3 ). Th e index allows smaller amounts of acid than sugars to make the same amount of numerical change to the index (Jaya 200 3 ). Jordan (2001) proposed this index based on the fact that sugars and acids have opposite effects on flavors and that the tongue is more sensitive to acidity (Jaya 200 3 Obenland 2009) The BrimA index is relatively new and has not enjoyed broad consensus as a better alternative to the B rix / acid ratio. Harker (2002) reported that BrimA index did not improve flavor prediction in comparison t o B rix / acid ratio. Jayasena (2008) also reported that BrimA index poorly predicted flavor in comparison with the B rix / acid Ratio. However, Obenland (2009) found the B rimA index a better alternative for flavor prediction of California navel oranges and re commended the BrimA index over the B rix / acid ratio as a flavor quality standard especially for low acid poor tasting fruit. It is therefore important to utilize both parameters in assessing the flavor of juice treatments in this experiment. For the purpos e of this thesis research the k coefficient of 3 was s elected because it accounted for an assumed minimal sensitivity of acidity in the juice blends.


46 Juice color The natural bright color of citrus juices has long been regarded as one of the major qual itative advantages over other food products (Kimball 1999). Juice color is a key factor in influencing consumer acceptance (Calvo 2001, Tiwari 200 8 ). Tepper (1993) notes that the color of orange juice is used as a quality control parameter for commercial c lassification of the product (Kimball 1999, Cortes 2008). Juice color is mainly due to carotenoid pigmentation with produces bright and cheerful associations complementing the sweet and tart flavors as well as pleasant aromas of orange juice (Kimball 1999, Melendez Martinez 2005). Carotenoids are responsible for many fruit colors and also promote healthy benefits in humans by exerting potential action against certain cancers, preventing gastric ulcers, stimulating the immune system, preventing cardiovascul ar disease and protecting against age related muscular degeneration and cataracts (Gama 2005). Gross (1987) reports that citrus is a complex source of carotenoids with the largest number of carotenoids in any fruit (Rouseff 1996, Melendez Martinez 2005). T he main carotenoids responsible for the orange color of orange juice are lutein (23% of total carotenoids, yellow green c carotene (7%, orange carotene (8%, orange yellow color), zeaxanthin (20%, yellow color), violaxanthin (11%, yellow color), cryptoxanthin (2 1%, orange color) (Kimball 1999 ). The above carotenoids can be grouped into pro vitam cryptoxanthin) carotene, zeaxanthin, lutein) ( d e Ancos 2002). Juice color can be measured by two main methods: USDA color scoring and Tristimulus tests. The USDA has an establis hed standard for grad i ng orange juice color using six plastic tube colors (Kimball 1999, USDA 1983). Each plastic color tube


47 represents a standard from OJ1 (lightest) to OJ6 (darkest) (Kimball 1999). These tubes can be used for direct color comparisons or to calibrate approved colorimeters (Kimball 1999). USDA assigns 40 points out of a total of 100 points to color, for classification purposes (Melendez Mendez 2005, Stewart 1977). Therefore grade A juice must have a color number between 36 40 points whereas grade B juice must have a color number between 32 35 points (Melendez Mendez 2005, Stewart 1977). Any color number lower than 31 points is regarded as substandard (Stewart 1977). The standard method of color scoring in the food industry recommended by the simulated standard eye that consists of three primary colors referred to as X (red), Y (green) and Z (blue) (Kimball 1999, Mrak & Stewart 1954, Mendoza 2006). Hunte r came up with some parameters that measured redness(a) on a green ( ) to red (+) scale, yellow ness (b) on a blue ( ) to yellow (+) scale and lightness (L) stimulus parameters (Hunter 1958, Kimball 1999, Sanchez Moreno 2003). Kramer and Twigg (1970) have shown that Tristimulus parameters can be related to Hunter Parameters as shown below (Kimball 1999): ( 0 6 ) ( 0 7 ) ( 0 8 ) In this experiment, the color of all the juice samples were determined using Hunterlab Colo rQuest XE spectrophotometer (Virginia, USA) equipped with a light source D65 and observation angle of 10 The instrument was calibrated using a white


48 (X= 81.01, Y=85.77, Z=89.24) standard. In addition to L*a*b parameters, Chroma that quantifies color inte nsity in comparison to pure white background and hue angle that represents the attribute of color that is related to perceived colors (yellow, blue, red, green or a combination of each) are determined (ETS 2011). Chroma, C, and hue angle, h are defined a s follows (Brewer 2001, Sanchez Moreno 2003): ( 0 9 ) ( 0 10 ) Purpose Although HLB is extremely harmful to citrus trees, it is harmless to hu mans (USDA 2012 ). This knowledge has not been applied by citrus growers who theoretically would discard off deformed or green fruit during sorting. In fact, very sparse literature exists on the effects of greening on citrus juice parameters. Newly carried out research on the effects of greening on juice quality suggest that consumers find symptomatic juice (non infected) juice (Plotto 2010). This finding corresponds with a chemical analysis of symptoma tic juice which shows higher acidity levels and lower sugar levels as compared with asymptomatic juice and control juice which were both comparatively similar (Dagulo 2010). It was also observed that symptomatic juice had a m uch reduced amount of the compound valencene as compared with asymptomatic juice and c ontrol juice (Dagulo 2010). Th e valencene compound has been identified a s a marker of maturity in fruit and is associated with juice flavor quality (Elston 2005). It is c lear that a


49 significant opportunity exists to investigate the effects of greening on citrus juice parameters. The proposed research objectives will be to determine from an array of prepared samples whether greening affected juice (both symptomatic and asym ptomatic juice) can be blended at a level of 5 10% in the control juice. The aim would be to determine if any blending levels exist at which consumers would be unable to differentiate between the greening affect juice and the control juice. Finally, a prop osed blending strategy would be developed utilizing old and new industry parameters to achieve an acceptable orange juice product.


50 CHAPTER 3 RESEARCH METHODS Citrus greening affected juice was blended with non affected juice at 5 and 10% levels with t he aim to determine whether consumers will be unable to dif ferentiate between greening affected juice blends and control (healthy) juice. Juice was extracted from Valencia and Hamlin variety oranges affected by greening c ollected from three harvests and wi ll be immediately stored in a freezer. Consumer sensory testing were cond ucted via a taste panel and include difference from control and triangle tests. The primary hypothesis (Hypothesis 1) is that consumers will be unable to differentiate citrus greening affected juice blended at 5% levels with non affected juice but will detect a difference at 10% levels. The foundation behind this hypothesis comes from anecdotal c itrus i ndustry knowledge that different juices can be blended into each other at a 5% level without noticeable sensory differences. Hypothesis 2 is that consumers will be unable to differentiate greening juice blended with Valencia juice rather than Hamlin Juice at 5% levels. The foundation behind this hypothesis is that Hamlin oranges have less sugar, are watery and also more astringent than Valencia oranges. Blending S trategy T he blend ratio s of healthy control juice ( Valencia juice) to greening affected juice by juice mass will be investigated at 95:5 and 90:10 ratios. In addition, blending by fruit mass will also be investigated. Blending by fruit mass involves collecting a portion of greening affected fruit (specifically 5% and 10%) from the total fruit amassed from the harvest, juicing and blending with healthy control juice in the already s tated proportions. As menti oned earlier, blends (95:5 and 90:10) from both juice and fruit manipulation will


51 be compared with control juices to see if consumers are able to detect a difference between the blends and the control juices. Sensory E valuation S ensory evaluation of juice samples was carried out by using a triangle test to determine if there is a difference between the juice blends and control juice. The choice of using a triangle test i s not only for it s statistical superiority to similar differ ence tests (pairwise comparison and duo trio) but also due to the nature of greening juice which lies more with an imbalance of chemical constituents rather than one or two specific attribute differences from healthy juice. A sample ballot of the triangle test is shown in Fig 3 in the a ppendix section In order to determine the sample size for this experiment, a few parameters such as the type I and II risk level as well as the true proportion of distinguishers have to be determined. In reality, the type I important parameter i.e. the risk of determining that there is a perceptible difference when there is none (Meilgaard 2007). In this thesis research, a 5% level of type I risk has been selected. The type II risk level i.e. the ri sk of concluding no perceptible difference when it exists, is less important when testing for difference. In this experiment a 10% level of type I I risk has been selected. The true proportion of distinguishers is arbitrarily chosen and reflects assumed sen sory differences between treatments. In this experiment, 0.30 or 30% proportion has been selected based on an assumption that sensory differences will be moderate. According to Meilgaard (2007), the minimum number of assessors based on these parameters is 53 tasters. T his panel will consist of at least 53 tasters that are u ntrained and regular (at least once a month) orange juice drinkers.


52 Once differences were established, then a subsequent consumer acceptability te st using a hedonic 9 point scale w as empl oyed on the blends. This consumer acceptability test assess ed for sweetness, orange flavor, and overall acceptability. After h edonic control test was carried out to estimate the size of the differences among the blends. A sample ballot of th e hedonic test is shown in Fig 4 in the appendix A difference from control test utilizes a control sample as a reference for comparison with the juice blends (Meilgaard 2007). The objecti ve of the difference from control test is to compare how different the various juice blends are from the control. The d ifference from control test w as used for juice blends from fruit (5%, 10%, 20% and 50% blends) utilizing a 10 point numerical c ategorical scale (1 = No difference and 10 = Extreme difference). A sample ballot of the difference fro m control test is shown in Fig 5 in the appendix Sensory analysis was conducted in the University of Florida Food Science and Human Nutrition (FSHN) Sensory Lab y which consists of 10 separate and private booths with 10 computers. Sixty panelists were asked demographic questions about their age, gend er and frequency of consumption P anelists were then directed to take a bite of a cracker and a sip of water before t asting every sample. For the triangle test, three 30 ml cups were presented to the panelists at room temperature (20 C) with orange juice consisting roughly 20 ml of the cups, and asked to identify which amongst the three cups is different, as two are of t he same source. For the difference from control test, 60 panelists were presented with a 30 ml cup filled with a reference sample (healthy juice) and then provided with three 30 ml cups filled with different juice blends (5%, 10%, 20%, 50% and control (0%) ) and blind coded with a three digit number.


53 Panelists were aske d to rate how different each of their juice samples (treat ments) was from the control on the 10 point scale. Data from the difference from control test were statistically analyzed using analys alpha level. Brix A nalysis Brix readings were taken with the aid of a hand held refractometer (Fisher Scientific, Catalog number 13 946 21, Range 0 32% Brix ). A few drops of juice from each sample were placed on the refractometer prism and Brix readings measured. Acid A nalysis Approximately 10 ml of orange juice was utilized as the standard orange juice quantity and diluted with 10 ml of distilled water. This dilution was then titrated with 0.1 N NaOH to an endpoint pH of 8.2. The pH readings were measured using a Fisher Scientific AB 15 plus pH meter. Equation 3 was then utilized after titration to determine the percent acidity of each sample. Color A nalysis Juice color analysis was carried out on all samples including blends. Preliminary Studies Evaluation of the l evel (%) of g reening a ffected j uice to b e b lended with h ealthy j uice : To determine the proper level of greening affected juice to be blended with healthy juice, 5% and 10% levels were chosen based on anecdotal industrial practices. Ex periment 1 was carrie d out as a triangle test with 37 panelists sampling pasteurized juice from the Valencia harvest (01 13 2010) at both 5% and 10% levels. Results shown below suggest that 5 and 10% levels were appropriate for blending greening


54 affected juice with healthy ju ice. The results suggest that 5% blends are barely detectable whereas it appears to be much easier to detect 10% blends. Table 3 1. Triangle t ests on p asteurized valencia j uice (01 13 2010) Significance 5% 10% Correct Responses 18 17 Actual Respo nses 17 23 An analysis of the pasteurized Valencia juice was carried out to determine Brix t itratable a cidity, Brix /acid ratio and color (L*, a*, b*) with results shown below: Table 3 2 Analysis of pasteurized valencia j uice (01 13 2010) Healthy 5% Blend 10% Blend Greening pH 3.920 0.016 3.840 0.002 3.872 0.002 3.743 0.004 Brix 10 0.0 11 0.0 6.6 0.0 8 0.0 Corr. Brix 10.07 0.0 11.15 0.0 6.71 0.0 8.15 0.0 Acidity 0.307 0.046 0.751 0.025 0.527 0.013 0.738 0.030 Brix /Acid i 32.8 14.8 12.7 11.0 BrimA 9.2 8.8 5.1 5.9 L 53.76 0.940 49.62 0.904 37.09 4.701 48.60 1.932 a 0.77 0.367 1.01 0.227 2.06 0.208 2.23 0.235 b 24.95 1.262 22.15 1.058 4.46 1.704 17.6 1.876 i Values are presented as averages of three replicates According to T able 3 2, healthy juice and greening affected juice had, as expected, the highest and lowest pH values reflecting the lowest and highest acidity levels respectively in the juice. However, curiously the 5% blend had a lower pH and higher acidity compared with the 10% blend w hich had a higher pH and lower acidity. This suggests an error in blending. In addition, the Brix levels of the 5% blend and 10% blend were the highest and lowest respectively. This is inco nsistent and suggests soluble solids were not properly distributed The Brix levels of two juices that are blended should never mathematically be above the higher Brix level juice or


55 alternatively below the lower Brix level juice. The Brix /acid ratios were high due to the extremely low acidity levels of the juices an d it is difficult to assess perceived sweetness among the treatments with such varied Brix and acid levels. As such, the BrimA index developed by Jordan (2001), as an alternative to Brix /acid ratios was also utilized. BrimA scores show that the 5% blen d has the highest perceived sweetness followed by healthy juice, the 10% blend and greening juice respectively. As stated above, this is highly suspicious as the parameters of blends lie within the range of the parameters of their constituent component jui ces. There was great homogeneity among all of the juice treatments except for the 10% blend which was considerably lower in brightness (L) and yellower than other juice treat ments. The slight inconsistencies were not critical to establishing the 5% and 10 % blending levels. Howe ver, results outlined in T able 3 1 suggested that 10% blends levels were clearly detectable by panelists, while 5% blend levels were barely detectable. Further evidence was necessary with a larger number of panelists to ascertain wh ether 5% levels of greening affected juice could be successfully blended with healthy juice. Therefore a second preliminary triangle test E xperiment 2, was carried out with 59 panelists using unpasteurized Valencia juice (01 13 2010) at only 5% levels. R esul ts shown in T able 3 3 suggest that blending greening affected juice at 5% level with healthy juice is not only appropriate but could possibly be minimum threshold level of detection. Table 3 3 Difference t ests on unp asteurized valencia j uice (01 13 2010) Significance 5% Correct Responses 27 Actual Responses 27


56 Table 3 4. Difference tests on unpasteurized valencia j uice Healthy 5% Blend Greening pH 3.847 0.010 3.827 0.010 3.721 0.006 Brix 9.8 0.0 9.6 0.0 7.6 0.0 Corr. Brix 9.92 0.0 9.74 0.0 7.81 0.0 Acidity 0.588 0.019 0.663 0.019 1.051 0.013 Brix /Acid i 16.8 14.7 7.2 Br imA 8.1 7.8 4.6 L 47.54 1.040 47.03 0.959 49.14 1.251 a 1.09 0.367 1.47 0.747 2.28 0.235 b 19.93 1.598 18.06 3.904 18.31 1.439 i Values are p resented as averages of three replicates According to T able 3 4, healthy juice and greening affected juice had the highest and lowest pH values reflecting the lowest and highest acidity levels respectively in the juice. The 5% blend had a pH value and acid ity level at an intermediate level compared with healthy juice and greening affected juice. In addition, healthy and greening affected juice had the highest and lowest Brix levels with the 5% blend having a Brix level in between both juices. This suggest s proper blending as the 5% blend has acidity and soluble solid content that is within the range of healthy juice and greening affected juice. The Brix /acid ratios show that healthy juice is sweeter than both the 5% blend and greening affected juice. The 5% blend is also sweeter than the greening affected juice. This was also evident in BrimA scores which were similar to the Brix /Acid ratios, with perceived sweetness the highest in healthy juice, then the 5% blend and finally greening affected juice res pectively. There was great homogeneity in color parameters (L*, a*, b*) among all of the juice treatments. A summary of the preliminary studies shows that the immature taste of greening affected juice is clearly discernible at 10% levels while barely dis cernible (threshold level) at 5% levels blended with healthy juice.


57 CHAPTER 4 RESULTS AND DISCUSSION Blending b y Juice The purpose of th ese experiment s is to determine whether greening affected juice could be successfully blended by mass in healthy juice at 5% and 10% levels. E xperiment 3 was a triangle test with 60 panelists sampling unpasteurized Valencia juice from the April 14 th 2008 harvest. Results of the taste panel are shown below: Table 4 1 Difference tests on pasteurized v alencia j uice (04 14 0 8) Significance 5% 10% Correct Responses 27 26 Actual Responses 27 38 As expected, panelists were able to significantly recognize the presence of greening affected juice at 10% levels while barely able to recognize the presence of greening af fected juice at 5% levels. This corresponds with results from the preliminary studies. An analysis of the each of the treatments of pasteurized Valencia juice (04 14 08) to determine Brix t itratable a cidity, Brix /acid ratio, B rimA index and color (L*, a*, b*) is shown below: Table 4 2 Analysis of unpasteurized valencia j uice (04 14 08) Healthy 5% Blend 10% Blend Greening pH 3.715 0.002 3.769 0.011 3.719 0.004 3.391 0.002 Brix 12 0.0 10.4 0.0 10.6 0.0 8 0.0 Corr. Brix 12.18 0.0 10.55 0.0 10.77 0.0 8.26 0.0 Acidity 0.887 0.013 0.745 0.009 0.823 0.024 1.314 0.046 Brix /Acid i 13.7 14.2 13.0 6.3 BrimA 9.5 8.3 8.3 4.3 L 51.81 0.940 54.29 0.959 52.15 0.446 54.11 1.832 a 9.51 0.654 3.31 0.308 5.09 0.465 6.71 1.365 b 37.54 0.663 33.08 0.026 34.95 0.861 34.46 2.899 i Values are presented as averages of three replicates


58 According to T able 4 2, Greening affected juice had the lowest pH value and highest acidity level amo ng all juice treatments. There was some inconsistency among the healthy juice, 5% blend and 10% blend as pertaining to acidity. The 5% blend had the highest pH value and lowest acidity level. This was unexpected as healthy juice should have the lowest acid level. The 10% blend, as expected, had a higher acidity than the 5% blend but unexpectedly had a lower acidity than healthy juice. With respect to soluble solids content, healthy and greening affected juice had the highest and lowest Brix levels. The 5% and 10% blends had Brix levels in between both healthy and greening affected juices with the later having a higher Brix than the former. The Brix /acid ratios and BrimA index values suggest that healthy juice had the highest sweetness among all treatment s while greening affected juice had least sweetness among all treatments. There was some discordance among the 5% blend and 10% blend in terms of sweetness perception by both Brix / a cid ratios and BrimA index values. The B rix / acid ratios suggest that 5% b lend is sweeter than the 10% blend while the BrimA index indicates both blends having equal sweetness. Albeit there was some homogen eity in color parameters (L* a* and b*) am ong all of the juice treatments both a* and b* were statistically significantly different among all treatments with L*, a*, and b* having p values of 0.06, 0.00008, and 0.04, respectively. No explanation is offered as to why the 5% blend had a lower acidity than the healthy juice Nevertheless, it is useful to observe that the 10% bl end had fairly similar acidity and Brix values despite overwhelmingly separated by panelists via sensory evaluation as different from normal juice. This seems to suggest that B rix/acid ratio and BrimA index may not entirely account for the off flavor di fferences in juice blends In addition, the 10% blend had a


59 slightly similar color (L*, a*, b*) to the healthy juice compared with the 5% blend It is therefore unclear as to the effects of color as an enabling factor for panelists to significantly differe ntiate the 10% blend from healthy juice. As this is a sensory difference test, it is hazardous to speculate on specific factors that led consumers to discern the 10% blend from the healthy juice. However, a suspected primary factor that could perhaps have played a significant role in showcasing the differences is the imbalance of flavor compounds found in greening affected juice. A plausible explanation for the results is that the mass of greening juice added to the healthy juice at 10% levels was perhaps e xcessive in terms of negatively impacting the flavor of healthy orange juice. However, there is a strong plausibi lity that the 5% levels could be a threshold level showing the maximum amount of greening juice that could be added to healthy juice without ne gatively impacting the flavor. A repeat tria n gle test Experiment 4, with 60 panelists was then carried out testing unpasteurized Valencia juice dated from April 4 th 2008 (04 04 08). Results are shown below: Table 4 3 Difference t ests on unp asteurize d valencia j uice (04 04 08) Significance 5% 10% Correct Responses 27 26 Actual Responses 17 32 Results from Table 4 3 confirmed expectations that panelists are able to significantly recognize the presence of greening affected juice at 10% lev els while barely able to recognize the presence of greening affected juice at 5% levels. These results, however, reveal that panelists overwhelmingly could not differentiate the 5% blend from h ealthy juice. An analysis of each of the treatments of unpasteu rized


60 Valencia juice (04 04 08) to determine Brix t itratable acidity, Brix /acid ratio, B rimA index and color (L*, a*, b*) is shown below: Table 4 4 Analysis of unpasteurized valencia j uice (04 04 08) Healthy 5% Blend 10% Blend Greening pH 3.625 0.005 3.549 0.002 3.537 0.003 3.353 0.001 Brix 12 0.0 11.2 0.0 10.8 0.0 5.6 0.0 Corr. Brix 12.18 0.0 11.39 0.0 10.99 0.0 5.83 0.0 Acidity 0.868 0.035 0.941 0.006 0.955 0.019 1.154 0.020 Brix /Acid i 14.0 12.1 11.5 5.1 BrimA 9.6 8.6 8.1 2.4 L 52.06 0.727 51.70 0.610 51.72 0.779 52.31 0.167 A 4.75 1 .300 4.82 0.444 4.72 0.534 4.08 0.568 B 33.67 2.078 33.36 0.944 32.79 0.833 33.23 1.230 i Values are presented as averages of three replicates The results outlined in Tab le 4 4, confirms expectations of acidity and Brix levels due to blending. These expectations are that healthy juice would have the lowest acidity levels followed by the 5% blend, 10% blend and finally greening affected juice respectively. These expectations are due to the tendency of greening affec ted juice to have higher acidity levels than healthy juice. As such, it makes sense that any addition of greening affected juice to the healthy juice in blend formation would increase acid ity. This is the case in Table 4 4, where p H and acidity levels wher e decreasing and increasing respectively, in healthy juice, 5% blend, 10% blend and greening affected juice. In addition, the Brix levels in healthy juice are shown to be the highest followed by the 5% blend, 10% blend and eventually greening affected juice having lowest Brix levels. The B rix / acid ratio of healthy juice is the highest among the four treatments and suggests the highest rated in perceived sweetness. Following healthy juice in a decreasing B rix / acid ratio and sweetness perception include the 5% blend, 10% blend and greening affected juice respectively. The BrimA index also follows the same trend


61 as the B rix / acid ratio. The color coo rdinates (L*, a*, b*) in Table 4 4 are very similar among all treatments. In addition, all color parameters were not significantly different from each other with L, a, and b having p values of 0.24, 0.65, and 0.88, respectively. Perez Lopez (2005) reported commercial Valencia orange juice having coordinates (L= 52.99 0.02, a=5.50 0.01, b=33.81 0.02) which is very similar to color coordinates in Table 4 4. Blending by Fruit The purpose of the followi ng experiments was to determine whether greening affected juice could be successfully blended by fruit mass in healthy juice at 5% and 10% levels. Experiment 5 was carried out as a hedonic test with 55 panelists sampling pasteurized Valencia juice from the April 7 th 2011 harvest Results of the taste panel as well as analysis of the four treatments are shown below. Table 4 5 Hedonic test of pasteurized valencia j uice (04 07 11) 5% Blend 10% Blend Overall Acceptability 7.02 1.340 a 6.73 1.592 a Sweetness 6.96 1.387 a 6.45 1.597 a Orange Flavor 6.96 1.290 a 6.73 1.394 a a Means with the same letter show no significance at alpha = 0.05 Results from T able 4 5 show that panelists rated the 5% and 10% blend the same in terms of overall acceptability, sweetness and orange flavor. However, it is important to note that the 5% blend had the highest ratings in overall acceptability, sweetness and orange flavor. In addition, there was a signif icant difference in sweetness between the 5% and 10% blends at an alpha level of 10% or 0.10. Albeit it can be said with greater


62 confidence (95%), that there is no significant difference in sweetness between both blends. An analysis of the each of the blen ds (both 5% and 10%) as well as control juice and greening affected juice treatments from the pasteurized Valencia juice (04 07 11) to determine Bri x t itratable a cidity, Brix /A cid ratio, B rimA index and color (L*, a*, b*) is shown below: Table 4 6. Analysis of pasteurized valencia j uice (04 07 11) Healthy 5% Blend 10% Blend Greening pH 3.856 0.005 3.886 0.015 3.886 0.015 3.853 0.005 Brix 12.8 0.0 12.2 0.0 11.2 0.0 11 0.0 Corr. Brix 12.96 0.0 12.35 0.0 11.34 0.0 11.17 0.0 Acidity 0.770 0.016 0.712 0.061 0.695 0.016 0.829 0.028 Brix /Acid i 16.8 17.3 16.3 13. 4 BrimA 10.7 10.2 9.3 8.7 L 52 60 1.26 1 52 05 0. 7 33 51 66 0. 5 7 5 53 77 1 5 76 a 2 07 0. 587 3 37 0. 630 2 19 0. 296 2 09 0. 130 b 36 99 2 782 3 7 1 5 1.408 35 30 0. 718 38 60 2.730 i Values are prese nted as averages of three replicates The results from T able 4 .6 shows acidity and Brix levels for pasteurized Valencia juice from April 7 th 2011. Healthy juice is shown to have the highest Brix levels followed by the 5% blend, the 10% blend and greening affected juice respectively. However, both the 5% and 10% blends had lower acid ities than healthy juice and greening juice. Several comments have been mentioned earlier about the inherent impossibility of this occurring and the strong likelihood of blending errors when dealing with juice blends. However this is a fruit blend. As such it is entirely plausible that inconsistencies in blend compositions may occur. This is because the choice of both greening affected fruit and healthy fruit varies. In other words, in fruit blending, there is not a set of oranges that are consistently use d to form blends. As such there could be


63 variability ensuing among blends from fruit with variable acidity or Brix levels. In this case, the 5% blend because of a combination of its comparatively lower acid level and higher Brix has the highest Brix / Acid ratio among all the juice treatments. Greening affected juice has the lowest Brix /Acid ratio due to having the highest acid content and lowest Brix level amongst all the juice treatments. The BrimA index, which by definition is closely aligned with the Brix shows a steady decline in index value from healthy juice to the greening juice which is consistent with Brix levels. Color coordinates (L*, a*, b*) also remain ed similar among all treatments albeit only a was significantly different among al l the treatments with L a and b havi ng p values of 0.18 0.02 and 0.35 respectively. The close similarities in Brix /acid ratios (of the 5% blend and 10% blend) and color is reflected in prior hedon ic testing ( T able 4 .5) which shows no significance at alpha = 0.05 in overall acceptability, sweetness or overall flavor. After hedonic testing, a difference by control test (Experiment 6) was carried out with 59 panelists on the same pasteurized Valencia juice (04 07 2011). The following treatments which were contrasted with each other in this experiment include: control (healthy juice), 5% blend and the 10% ble nd. Results are shown in T able 4 .7 below: Table 4 7 Di fference from control test of pasteurized valencia j uice (04 07 11) Control 5% Blend 10% Blend Mean Score 4.58 2.119 a 4.03 2.251 a 4.34 2.223 a a Means with the same letter show no significance at alpha = 0.05 The results from the difference from control test shown in Table 4 7 showcases how different the tr eatments were rated from the control On the 10 point categorical scale with, there was no significant difference among the treatments with a range of means from 4.03 4.58 (5% Blend, 10% Blend, and Control respectively). All the


64 treatment means were closer control treatment, which was included blindly, was rated not different. In addition, panelists could not find any difference between the blind control and the blends (both 5% and 10%) ranking t of the scale) albeit the range of means was towards the middle of the scale. This phenomenon of avoiding the ends of scales is known as error of central tendency (Meilgaard 2007). The error of central tendency is a psychological error whereby panelists score products in the mid range of a scale, avoiding the extreme ends (Stone and Sidel 2004). This inevitably ends up giving the effect that products are more similar than they really are (Sto ne and Sidel 2004). In this case, prior hedonic testing shows us that the 5% blend and 10% blend were very similar to the panelists, which may have ting them so closely together on the 10 point scale. As ther e was no significant difference between the 5% and 10% blends and the reference control, it was important to determine if there would be a difference if the treatments were higher blends (20%, 50%). Experiment 7 was therefore also a difference from control test with 60 panelists assessing the following treatments alongside the reference control: 10% blend, 20% blend, 50% blend and the control juice. The 5% blend was not included in this experiment as prior preliminary testing as well as recent hedonic testi ng showed that the 5% was barely discernible from the control juice. It is important to state that a 5% blend by fruit is not equivalent to a 5% blend by juice. A 5% blend by fruit simply means 5% (by mass) of greening fruit wer e added to a batch of 95% (b y mass) healthy fruit and juiced to form a blend. However,


65 greening affected fruit tend to be smaller in size and deformed shape compared to healthy fruit (Bove 2006). This would mean a smaller than stated proportion of greening affected juice is mixed wit h healthy juice. In other words, a 5% blend by fruit would be probably slightly less than 5% blend by juice. This would therefore mean that a 5% blend by fruit would have even more similar to control juice than the 5% blend by juice which was barely discer nible from control juice. Therefore in E xperiment 7 the 5% blend was neglected. Also, similar to previous difference from control test, a blind control was also placed among the treatments unknown to panelists. Results from this experiment are shown below: Table 4 8. Di fference from control test of pasteurized valencia j uice (04 07 11) Control 10% Blend 20% Blend 50% Blend Mean Score 3.87 2.332 c 5.08 2.842 ab 4.45 2.332 bc 5.57 2.770 a a bc Means with the same letter show no significance at alpha = 0.05 Table 4 8 shows how differently the treatments, particularly the high blends (20% and 50%) vary from reference control. The results show that the 50% blend is significantly different from the control and the 20% blend. In addition, the 10% blend was found to be significantly different from the control juice. As expected the control a reference sample. Curiously, panelists r anked the 20% blend closer than all other blends (including the 10% blend) to the control juice. This may appear inconsistent but a plausible explanation exists when considering the fact that in fruit blending, there is minimal control of the composition o f the juices to be blended. There is a potential for variation in compositions of the juices available from blending, as fruit may be utilized from different trees in the grove. In contrast with blending by juice, where a specific


66 known composition of heal thy juice is blended with a specific, known composition of greening affected juice, blending by fruit invo lves using different fruit for the composition of eac h blend. The selection of fruit from the same grove does not guarantee the same composition from each fruit. In addition, the fact that for each blend a separate batch of fruits are used, which is a key feature in fruit blending, ensures the possibility of composition variation in blends. In this case, it seems entirely plausible that fruits (either h ealthy or greening affected) involved in producing the 20% blend may have had a higher Brix or lower acid composition than the 10% blend. This could explain why panelists ranked the 10% blend higher than the 20% blend, as well as finding the 10% blend significantly different from the reference sample. An analysis of the higher blends (20% and 50% blends) is shown below: Table 4 9. Analysis of pasteurized valencia j uice (04 07 11) Healthy 10% Blend 20% Blend 50% Blend pH 3.85 0.005 3.93 0.015 3.87 0.005 3.82 0.011 Brix 12.8 0.0 11.8 0.0 12.2 0.0 11.2 0.0 Corr. Brix 12.96 0.0 11.97 0.0 12.38 0.0 11.3 8 0.0 Acidity 0.770 0.016 0.753 0.079 0.814 0.018 0.902 0.019 Brix /Acid i 16.8 1 5 7 15.2 12.6 BrimA 10.7 9.7 9.9 8.7 L 52 60 1.261 51 17 0.248 52 95 0.562 52 68 0.681 a 2 07 0.587 1.36 0.040 2 30 0.281 2.15 0.110 b 36 99 2 782 33 28 0.384 36.60 0.700 36.71 0.362 i Values are presented as averages of three replicates In T able 4 9 t here was some variation in the pH values. The pH values d id not seem to reflect the acidity content in each blend. Probable reasons for this variation could be the presence of high levels of sinking pulp in most of the blends Healthy juice ha d the highest Brix level among the treatments whil e the 5 0% blend ha d the lowest Brix level among the treatments as expected In addition the 20% blend had a higher


67 Brix and slightly higher acidity than the 10% blend As such the 10% blend had a slightly higher Bri x / Acid ratio while the BrimA index which is more correlated to Brix was slightly higher for the 20% blend than the 10% blend. The results of T able 4 9 correlate with the sweetness levels in each blend with the healthy juice very similar to the 20% blend followed by the 10% blend and 50% blend. This is also reflected in the BrimA index values for each blend. However, the closeness in sweetness between the 10% blend and the 20% blend is also mirrored in the Brix / a cid ratio where there is a slight differe nce between both blends. As stated earlier, it is not unusual for higher blends to have a sweeter or less acidic content compared with lower blends. The reason for this is variation of juice characteristics as different batches of fruit are blended togeth er All treatments had similar color coordinates albeit only a* and b* was significantly different among all the treatments with L*, a* and b* having p values of 0.08, 0.03 and 0.0 4 respectively. The 10% blend had a slightly lighter (less yello wish and more light greenish) color. After testing Valencia juice, it was important to see if any similar patterns emerge in Hamlin juice blends. Therefore a repeat of the experiments (difference from control test, hedonic test and juice analysis) was conducted for Hamlin juice from the December 2 nd 2011, and pasteurized on January 19 th 2012. Experiment 8 was a difference from control test on pasteurized Hamlin juice (01 19 12) carried out on 60 panelists. The following treatments i n this experiment include: c ontrol (healthy juice), 5% blend and the 10% blend Results are shown below: Table 4 10 Difference fr om control test of pasteurized hamlin j uice (01 19 12) Control 5% Blend 10% Blend Mean Score 3.67 2.267 a 4.32 2.418 a 4.34 2.440 a a Means with the same subscripts show no significance at alpha = 0.05


68 The results shown in T able 4 1 0 show that there was no significant difference among the control, 5% blend and 10% blend. These results confirm earlier results shown in T a ble 4 7, which used Valencia juice. The results in T able 4 1 0 show that panelists were unable to detect a difference between among any combination of blends and control. In other words, panelists could not detect a difference between 5% blends and either t he control juice or the 10% blend. Similarly, consumers could not detect between the 10% blend and either the control or the 5% blend. This result is also significant because it reflects the differences in blending techniques, i.e. between blending by jui ce and blending by fruit. Blending by fruit involves juicing the fruit first, and since the juice is a fraction of the fruit component, then a percentage (e.g. 5%) of fruit mass ultimately results in less than 5% of juice mass. In addition, greening affect ed fruit tend to be smaller in size and ultimately juice mass than healthy fruit. Therefore, a 10% blend by fruit is actually less than stated and thus explains why panelists are able to clearly detect 10% blends by juice and are just barely able to detect 5% blends by juice. A juice analysis of the treatments (5% blend, 10% blend, and control juice) involved in the differen ce from control test of Hamlin j uice (01 19 12) as well as greening affected juice was conducted and the results are shown below In T able 4 1 1, t he pH values do not seem to correlate well with the acidity content in each blend. One p robable reason for th is variation in pH could be due to the presence of high levels of sinking pulp in most of the blends if not well agitated The 5% b lend has the highest B rix level among the treatments while the 10% blend has the lowest Brix level among the treatments. As stated earlier, this variation in B rix levels


69 Table 4 11 Analysis of pasteurized hamlin j uice (01 19 12) Healthy 5% Blend 10% Blend Greening pH 3.83 0.021 3.90 0.020 3.90 0.015 3.82 0.005 Brix 9.4 0.0 10.4 0.0 8.4 0.0 9 0.0 Corr. Brix 9.51 0.0 10.51 0.0 8.54 0.0 9.15 0.0 Acidity 0.535 0.019 0.544 0.064 0.665 0.019 0.733 0.019 Brix/Acid i 17. 8 19. 3 12.8 12.5 BrimA 7. 9 8. 8 6.5 6. 9 L 55.77 0.271 59.52 0.708 53.54 0.272 56.09 0.522 a 1.24 0.050 0.60 0.119 1.74 0.070 1.75 0.034 b 29.52 0.236 33.54 0.678 27.57 0.535 28.17 0.375 i Values are pre sented as averages of three replicates whereby the blends have a higher Brix than the control or lower Brix than the greening juice is not unusual in the blending by fruit strategy. When balanced by the acidity levels, the 5% blend has the highest Brix/Acid ratio followed closely by the healthy juice. The 10% blend has a mu ch lower Brix/Acid ratio compared with the healthy juice and the 5% blend, and is closely followed by the greening juice which has the lowest Brix/acid ratio. Usually, a gap so large in the difference between the Brix/Acid ratios of the 10% blend and th e sweeter 5% blend and healthy juice is expected to be noticeable by panelists. How ever, the results reflected in T able 4 10 suggest that the panelists were unable to detect a difference possibly because the Brix/acid ratio for the 10% blend was still fai rly acceptable by the panelists. Kimball (1999) reports that commercial juice should have a B rix/acid ratio of 13.0 which is very similar to the 10% blend Brix/acid ratio of 12.6. The BrimA values indicate how sweet each treatment taste s and has a strong er correlation with Brix values as shown above where the 10% blend has the lowest Brix and lowest sweetness while the 5% blend has the highest Brix and highest sweetness. There was some variability among the treatments had all color coordinates signific antly different among all treatments with L*, a*, and b* having p


70 values of <0.001 for each coordinate. This variability among the treatments in terms of color could be attributed to the 5% blend having noticeably positively higher L*, a*, b* coordinates w hich reflected the pulpiness and dark orange color of the blend compared with other treatments. Experiment 9 was a difference from control test with higher blend treatments (20% blend, 50% blend) including the 10% blend and control juice. This experiment w as carried out on 60 panelists and the results are shown below: Table 4 1 2 Difference fr om control test of pasteurized hamlin j uice (01 19 12) Control 10% Blend 20% Blend 50% Blend Mean Score 3.85 2.169 b 3.88 2.179 b 4.50 2.508 ab 5.17 2.395 a a Means with the same letter show no significance at alpha = 0.05 The results reflected in Table 4 1 2 suggest that panelists can clearly distinguish between the 50% blend and either the 10% blend or control juice. Thi s is important because for both Valencia and Hamlin juice, when blended by fruit mass, panelists have been consistently able to detect 50% blends and discern a difference from control juice. The results also suggest that the 20% blend might be a probable t hreshold value in detection of greening juice in blends with control juice as the base. The reason for this suggestion is that the 20% blend is marginally dis cernible as different from both the 10% blend and the control on the one hand, or the 50% blend on the other hand. In this way, the 20% blend by fruit mirrors the 5% blend by juice which was also barely discernible as different from the control juice. Surprisingly, the 10% blend was ranked very similar to the control despite its lower Brix and Brix / acid ratio, a s shown in T able 4 1 2 It was therefore important to analyze the higher blends (20%, and 50%) and contrast with the alre ady analyzed healthy juice and greening affected juice. This is shown below:


71 Table 4 1 3 Analysis of pasteurized h amlin j u ice (01 19 12) Healthy 20% Blend 50% Blend Greening pH 3.83 0.021 3.89 0.010 3.89 0.011 3.82 0.005 Brix 9.4 0.0 8.6 0.0 9.4 0.0 9 0.0 Corr. Brix 9.51 0.0 8.72 0.0 9.53 0.0 9.15 0.0 Acidity 0.535 0.019 0.558 0.020 0.654 0.009 0.733 0.019 Brix /Acid i 17. 7 15.6 14.5 12.5 BrimA 7.7 7.0 7. 6 7.0 L 55.77 0.271 55.15 0.681 57.22 0.256 56.09 0.522 a 1.24 0.050 1.73 0.120 1.57 0.160 1.75 0.034 b 29.52 0.236 27.05 0.808 29.93 0.807 28.17 0.375 i Values are prese nted as averages of three replicates Observing T able 4 1 3 bl end is clearly different from healthy juice as noted by panelists in T able 4 1 2 The 50% blend has the same Brix level as the healthy juice. However, the higher acidity content in the 50% blend means it has a slightly reduced Brix /acid ratio and sweetness compared with the healthy juice. Similarly, there is no immediately clear reason why the 20% blend is bare ly discern i ble from the healthy juice despite having the second lowest Brix level of all the treatments (the lowest being the 10% blend). However, because the acidity content of the 20% blend was lower than the 50% blend the former had a slightly higher Brix /acid ratio than the later blend. However, BrimA values which show that the 50% blend was indeed sweeter than the 20 % blend, reflecting the higher B rix level of the 50% blend. Although color coordinates (L*a*b) for all tre atments were simila r they w ere all s ignificantly different from each other with L, a, and b having p values of 0.004 0.001, and 0.001 respectively. All the treatments had varying intensities of a greenish yellow hue with the 20% blend closest to the greening affected juice in colo r. The results seem to suggest that the Brix /acid ratio or B rimA may not be the best tool to detect differences among blends. The off flavor of greening juice, as stated


72 earlier, results from an imbalance in flavor compounds and is independent of soluble solid content or acidity levels. The com paratively higher acidity of the blends due to the presence of greening juice did not result in unfavorable Brix / acid ratios that were not comparable to those of healthy juice. The results emphasize that blending masks off flavors not necessarily associat ed with Brix and acidity, and the 20% blend could represent the minimum amount of flavor compound imbalance noticeable to panelists. Thus the 50% blend, containing a higher level flavor compound imbalance as a result of a higher level of greening juice wa s noticeable to panelists. It is important to emphasize that the flavor compound imbalance refers to possibly lower levels of esters particularly ethyl butyrate, and possibly higher levels of terpenes, alcohols and aldehydes, compared with healthy juice (D agulo 2010). It is important to emphasize that the senso ry evaluation results of T able 4 1 2 are empirical, and that no chromatographic testing was done on any of the treatments in this study to determine the quantity and quality of flavor compounds present Nevertheless, this study is important as it builds on research which clearly has outlined the flavor imbalance as a critical factor in the development of off flavors associated with greening juice. The next step in the research study was to assess wheth er panelists found any of the blends favorable. To assess this favorability, a hedonic test was carried out on 60 panelists with the following treatments: 10% blend, 20% blend and 50% blend. The 10% blend was selected for two reasons; to assess its favorab ility and secondly, to serve as a control b ased on the results from T able 5 0 which suggested that panelists could not determine a difference between the 10% blend and the healthy juice. The results of this hedonic test are shown below:


73 The results of T ab le 4 1 4 show that there is no significant difference among all treatments in overall acceptability, sweetness, and orange flavor. This suggests that although panelists can detect a difference between the 50% blend a nd the control, as reported in T able 4 12 it was not a statistically significant unfavorable difference from the control (or 10% blend). Similarly, although panelists could barely detect the difference between the 20% blend and the control, also reported in T able 4 1 0 the barely detectable diff erence was not a statistically significant unfavorable difference compared with the control. In fact there was no significant difference between the control (the 10% blend) and any of the blends (20% and 50% blends). Table 4 14 Hedonic test of pasteur ized hamlin j uice (01 19 12) 10% Blend 20% Blend 50% Blend Overall Acceptability 6.03 1.785 a 5.87 1.751 a 5.75 1.847 a Sweetness 5.95 1.770 a 5.68 1.780 a 5.52 1.790 a Orange Flavor 5.7 2 1.869 a 6.03 1.438 a 5.87 1.692 a a Means with the same letter show no significance at alpha = 0.05 The significance of these results ( T able 4 1 4 ) is that for Hamlin oranges, in this particular season, up to 50% of the t otal fruit mass of greening affected fruit can be blended alongside healthy fruit to form a juice blend that is still acceptable to consumers. A lower blending percentage of 20% or lower, greening fruit mass can also be blended alongside healthy juice and would be the better option considering that panelists would still be able to detect a difference at 50% or higher blends. The high percentage (up to 50%) of greening affected fruit capable of being blended may seem surprising but is not unusual. Wagner (19 78) showed that 15 35% t angerine juice blended in grape fruit juice was significantly different from, and as well a s


74 preferred to, unblended grape fruit juice. Inyang (1979) showed that the astringency of cashew apple juice could be masked by blending in ora nge juice at a ratio of 60:40, which was also the most preferred blend ratio by the panelists. It is also important to re emphasize that 50% greening affected fruit may translate to a lower percentage of juice blended with healthy juice, due to the tendenc y of greening fruit to be smaller in size and thus lower in volume of juice available for extraction from greening affected fruit. Experiment 10 was a hedonic test using Valencia j uice with 61 panelists asked to assess the overall acceptability, sweetness and orange flavor of control juice (healthy juice), the 20% blend, and the 50% blend. The results are shown below: Table 4 1 5 Hedonic test of pasteurized valencia j uice (04 07 11) Control 20% Blend 50% Blend Overall Acceptability 7.03 1.50 5 a 6.97 1.169 a 6.69 1.397 a Sweetness 7.05 1.499 a 6.95 1.617 ab 6.39 1.626 b Orange Flavor 6.82 1.607 a 7.02 1.284 a 6.69 1.373 a a Means with the same letter show no significance at alpha = 0.05 The results outlined in T able 4 1 5 suggest that there is no significant difference between control juice and the 20% blend or 50% blend in overall acceptability and orange flavor. There was however, a significant difference between the 50% blend and the Control with respect to sweetness with the former rating the lowest in sweetness according to the panelists. Despite the comparatively low sweetness of the 50% blend, it is important to note that it was still found acceptable and comparable to control juice by panelists. This c onfirms our results from T able 4 1 4 that t he 50% blend although noticeabl y different from control juice is still comparatively acceptable to control juice by panelists.


75 Similarly, the 20% blend was not significantly different from either the control juice or the 50% blend in terms of sweetness, which confirms our suspicion that the 20% blend could be a minimum threshold of detecting a difference between itself and control juice. It is still important to perform a juice analysis of each treatment in the study testing for juice parameters. The results are shown below: Table 4 1 6 Analysis of pasteurized valencia j uice (04 07 11) Healthy 20% Blend 50% Blend pH 3.76 0.000 3.75 0.01 1 3.69 0.011 Brix 12.4 0.0 12.2 0.0 11 0.0 Corr. Brix 12.56 0.0 12.37 0.0 11.18 0.0 Acidity 0.789 0.059 0.814 0.013 0.876 0.019 Brix /Acid i 15.9 15.2 12.8 BrimA 10. 2 9.9 8.5 L 52.47 0.862 52.97 0.890 52.47 0.495 a 2.12 0.279 2.74 0.517 2.02 0.170 b 35.50 0.992 37.23 1.834 34.88 0.551 i Values are prese nted as averages of three replicates The results in T able 4 1 6 show that the healthy juice i s very similar to the 20% blend in Brix and acidity, and consequently having very similar Brix /acid ratios. The results also sho w that the 50% blend has the lowest Brix as well as the highest acidity among all treatments, thereby giving it the lowest Brix /acid ratio among all treatments. Although the 50% blend for both Hamlin and Valencia juice had a Brix /acid ratio that was low er by a factor of three, than either the healthy juice or control juice, it seems for Valencia juice panelists were able to detect a difference in sweetness, while for Hamlin juice panelists were unable to detect a difference in sweetness. This suggests th at differences in sweetness may be more pronounced in Valencia juice that has a more pronounced deeper flavor than that an early season fruit juice such as Hamlin juice. As expected, the BrimA scores correlated strongly with the Brix of each treatment, with


76 he althy juice having the highest B rimA score followed by the 20% blend and finally t he 50% blend having the lowest B rimA score and sweetness. The color coordinates were fai rly simila r with L*, a* and b* values not significantl y different among treatments having p values of 0.6, 0.09, and 0.13 respectively Finally, a P earson correlation was performed to ass ess the relationship between objective flavor indicators ( Brix/a cid ratio and BrimA index ) with hedonic parameters (overal l acceptability, sweetness and orange flavor) of the greening affected juice blends (Control, 5% blend, 10% blend, 20% blend and 50% blend) The BrimA index will a BrimA index a 2 orange juice. Jordan (2001) finds the BrimA with k = 5 as appropriate for citrus f ruits, while Obenland (2009) finds the BrimA with k = 3, 4 or 5 to be similar when correlated with hedonic parameters. It is therefore important to investigate the BrimA at k = 3, 4 e hedonic parameters of the greening affected juice blends. The purpose of these correlations is to determine how effective these indicators ( Brix/acid ratio and BrimA index) are at assessing the hedonic parameters of greening affected juice blends. Table 4 17 shows the correlation of Brix/a cid ratio and BrimA with hedonic parameters of greening affected juice blends from Valencia fruit.


77 Ta ble 4 17. Correlation of brix/acid ratio and brimA with h edonic parameters for v alencia juice (4 07 11) Overall Acceptability Sweetness Orange Flavor Brix /Acid i 0.3 1 0.35 0.44 BrimA k = 3 0. 80 0.1 8 0.1 1 k = 4 0.73 0.0 7 0.14 k = 5 0.38 0.3 6 0. 22 The results in T able 4 17 show that the Brix/acid ratio was a poor predictor of overall acceptability, sweetness (negatively correlated) and orange flavor of juice blends from Valencia fruit. The BrimA index had a strong positive correlation with ove ra ll acceptability at k = 3, albeit having a very poor positive correlation with sweetness and ora nge flavor. The BrimA index at k = 4 was slightly lower, with very poor positive correlations with sweetness and ora nge flavor. The BrimA index at k = 5 had t he weakest correlation with overall acceptability with poor correlations with sweetness (negatively correlated) and orange flavor. There was a strong similarity between t he BrimA index correlations at k = 5 and the Brix/Acid ratio correlations. Correlations (P blends, similarly assessing the relationship between the Brix/acid ratio and BrimA against the hedonic parameters obtained from Hamlin fruit. These correlations ar e shown in Table 4 18. Table 4 18. Correlation of brix/acid ratio and brimA with hedonic parameters for h amlin juice (4 07 11) Overall Acceptability Sweetness Orange Flavor Brix /Acid i 0.6 4 0.66 0.78 BrimA k = 3 0.6 1 0.62 0.7 3 k = 4 0.62 0.64 0.7 5 k = 5 0.6 4 0.6 6 0.7 7 i Values are prese nted as averages of three replicates


78 The results in T able 4 18 show that the Brix/acid ratio correlated fairly strongly and positively with overall acceptability, sweetness and orange flavor of juice blends from Hamlin fruit. Similarly, the BrimA index had a fairly strong correlation with all hedonic parameters at k = 3 The correla tions tended to get slightly stronger with increasing k values and at k = 5 the correlations closely mirrored the Brix/ a cid ratio cor relations. This corresponds with Table 4 17 where correlations of BrimA at k = 5 with hedonic parameters was also the most similar to t he Brix/a cid ratio correlations compared with different k values (3 and 4) of the BrimA index. This seems to suggest t hat the BrimA at k = 5 is the most equivalent to Brix/a cid ratio The correlation results of Table 4 17 and Table 4 18 are inconclusive in determining the efficacy of the indicators at assessing the hedonic parameters of the juice blends. While the Brix/a cid ratio had poor correlations with all hedoni c parameters in Valencia juice blends, it had moderately better correlations with all hedonic parameters in Hamlin jui ce blends. The BrimA index (at k = 3, 4, and 5) also had poor correlations with sweetness and orange flavor, but much stronger correlation s with overall acceptability in Valencia juice, while it had similarly moderate correlations with all hedonic parameters in Hamlin juice. Part of the variability apparent in the weak and moderate correlations is partly due to the fact that neither of the i ndicators accounts for the role of volatile compounds, which is very influential in greening affected fruit as stated earlier. Nevertheless, an explanation of the variability of sensory data is naturally limited until more experiments with juice from more harvest seasons can be done. This would be beneficial in providing a more balanced assessment of the efficiency of each indicator in relation to hedonic parameters of the juice blends.


79 Summary a nd Conclusion The purpose of this study was to determine whet her greening a ffected juice could be successfully blended in the control juice. For the preliminary studies, 5% and 10% levels were chosen based on undocumented industrial practices. Preliminary results suggested that 5% and 10% blending levels are appropr iate for blending by juice. Once blending levels were determined, a triangle test was conducted using pasteurized Valencia juice blends at 5% and 10% levels along with a control (healthy juice). The results confirmed preliminary findings that the 5% blend was just barely statistically significant in difference from the control, while the 10% was clearly significantly different from control juice. In Experiment 3, s ome inconsistencies in blending occurred such that the 10% blend had a higher Brix than the 5 % blend, le a d ing to a repeat of the experiment, with similar conclusions except this time the 5% blend was clearly not significant ly different from the control juice The conclusion from both experiment s is that 5% blend could represent a flavor threshold for g reening juice. In Experiment 4 the 5% blend was clearly not significant from the control juice while in Experiment 3 it was border line significant ly different from the control juice. Nevertheless, the conclusion favors the borderline conclusion when considering preliminary results whic h in all cases were border line significant from the control at the 5% blending level. Similarly, it was clear that blending at 10% levels was clearly significantly different from the control juice in both experiments an d in all preliminary findings. Investigating the analytical profiles of both the 5% and 10% blends, it was noticeable that both blends were similar in Brix levels, titratable acidity, Brix /acid ratios, BrimA index values and even in some color


80 coordinates (L* ) This suggests that Brix /ac id ratios and B rimA index may not be as effective in detect ing blend differences from control juice. The next object ive was to assess consumer acceptance of the juice blends. Since the consumers could detect a difference in the blends, it was important to determine how different the blends were compared to the control juice. Once that was determined, then it would be ne cessary to assess how preferable the blends are to consumers. In addition, it was also important to assess new blending strategies, in this case blending by fruit mass, and contrast that with the previous strategy of blending by juice mass. The results of the difference from control test and hedonic test on both 5% and 10% blends from Valencia fruit shows no significance between both blends and control juice. This means that for blends by fruit, both the 5% and 10% blends were not as significantly different from the control. In addition, the 5% and 10% blends were as preferable as the control juice. At this point, a difference between blending strategies seems to reflect the difference in results obtained from similar blending levels. This difference in blen ding strategies can be attributed to two reasons; first, a lower amount of greening affected juice is utilized in blends by fruit due to the smaller fruit size of symptomatic fruit as well as lower volume of juice, and secondly, variation that is present a nd intrinsic in blending by fruit, as not the same fruit and consequently juice is blended into healthy juice. It was at this point that higher blends (blends higher than 10% greening juice) were considered. The following treatments were then utilized in the study: 20% blend and 50% blend, which were both blends by fruit. The difference from control and hedonic tests were repeated using those blends as well as the 10% blend and control


81 juice. The results showed that the 50% blend was significantly differ ent from the control The 20% blend was not significantly different from the control juice while curiously the 10% blend was significant ly different from the control but not significantly different from the 20% or 50% blend. The hedonic test results (witho ut the 10% blend) showed that panelists found the 50% blend less sweet albeit still acceptable overall when compared with the control juice. The 20% blend was found preferable and not significantly different from control juice in overall acceptability, swe etness and orange flavor. Therefore, the conclusion derived from results is that consumers can definitely detect the 50% blend as being different from the control juice. That difference was shown to be that of a lower sweetness comparatively to the 20% ble nd and control juice. Nevertheless, as a blending strategy for Valencia fruit it seems riskier to blend greening fruit at 50% or higher mass level. It is more conservative and thus recommended to blend at a 20% or lower level which has been shown to be hed onically preferable to control juice. Lastly, it was important to confirm previous results with new tests using Hamlin juice. It had been previously hypothesized that Hamlin juice having a bland and poorer flavor would have been affected in a bigger way by citrus gre ening, with differences and off flavors from greening affected juice more accentuated in the blends. A repeat of difference from control and hedonic tests showed similar results with Valencia fruit, with the 5% and 10% blends not significantly d ifferent from control juice and hedonically similar to control juice. Higher blends (20% blend and 50% blend) of Hamlin greening affected juice were next assessed, again with difference from control and hedonic tests, with the results showing that the 50% blend was significantly different from the control


82 juice having the largest difference among all treatments compared to the control juice. The 20% blend was not significantly different from the 10% blend, and the 50% blend. This suggests the 20% blend as a probable flavor threshold for panelists. The flavor threshold in this study was not defined but can be explained as the point (or range) of marginal detection of a difference by a panelist. The hedonic results showed no significant difference for any of t he blends (20% and 50% blends) in overall acceptability, sweetness and orange flavor when compared with control juice. From these results, it can be concluded that there was no clear di fference in accentuation of off flavors prominent in greening affected juice in Hamlin blends when compared to Valencia juice blends. Albeit the 50% blend was hedonically similar to the cont rol juice, it is recommend ed that blending at that level may be too risky when considering seasonal variation in addition to intrinsic va riation inherent in the blending design. It is recommended that the 20% blend or lower be used by juice processors as a conservative way to utilize greening affected juice with less risk of consumer detection in juices.


83 APPENDIX BALLOT TEMPLATE To beg in test, please click on the continue button below: Please indicate your gender. Male Female Male: Please indicate your age range. Under 18 18 29 30 44 45 65 Over 65 Question # 3. Female: Please indicate your age range. Under 18 18 29 30 44 45 65 Over 65 Question # 4. How often do you drink orange juice? Once per day Once per week Once per month Once per year Never Fig 2. Sample demographic questions used in sensory tests


84 Triangle Test Today you will be tasting orange juice. Take a bite of cracker and a sip of water to rin se your mouth. Remember to do this before you taste each sample. WHEN ANSWERING ANY QUESTION, MAKE SURE THE NUMBER ON THE CUP MATCHES THE NUMBER ON THE MONITOR. Please click on the 'Continue' button below. In front of you are three samples. Two samp les are identical, and the other is different. Taste the samples in the order indicated below and identify the DIFFERENT sample. <> <> <> Fig 3. Sample ballot for orange juice triangle te st using a nine point hedonic scale


85 HEDONIC TEST Take a bite of cracker and a sip of water to rinse your mouth. Remember to do this before you taste each sample. WHEN ANSWERING ANY QUESTION, MAKE SURE THE NUMBER ON THE CUP MATCHES THE NUMBER ON THE M ONITOR. Please click on the 'Continue' button below Please indicate how much you like or dislike each Orange Juice sample OVERALL Sample <> Overall Liking Dislike extremely Dislike very much Dislike moderately Dislike slightly Neither l ike nor dislike Like slightly Like moderately Like very much Like extremely 1 2 3 4 5 6 7 8 9 Sweetness Dislike extremely Dislike very much Dislike moderately Dislike slightly Neither like nor dislike Like slightly Like moderately Like very much Like extremely 1 2 3 4 5 6 7 8 9 Orange Flavor Dislike extremely Dislike very much Dislike moderately Dislike slightly Neither like nor dislike Like sligh tly Like moderately Like very much Like extremely 1 2 3 4 5 6 7 8 9 Fig 4. Sample ballot for orange juice hedonic test using a nine point hedonic scale


86 Difference From Control Test Today you will be tasting orange juice. Take a bite of cracker and a sip of water to rinse your mouth. Remember to do this before you taste each sample. WHEN ANSWERING ANY QUESTION, MAKE SURE THE NUMBER ON THE CUP MATCHES THE NUMBER ON THE MONITOR. Please click on the 'Continue button below. Please take a sip of Sample 000. You will be comparing the other samples to this one. Click the Continue button below to proceed. Please indicate how different each sample is when compared to the control ( Sample 000 ). Difference fro m Control Sample <> No different Extremely different 1 2 3 4 5 6 7 8 9 10 Sample <> No different Extremely different 1 2 3 4 5 6 7 8 9 10 Sample <> No different Extremely different 1 2 3 4 5 6 7 8 9 10 Fig 5. Sample ballot for orange juice difference from control test using a ten point scale


87 LIST OF REFERENCES Abbasi S Zandi P Mirbagheri E 2005 Quantitation of limonin in Iranian orange juice concentrates using high performance liquid chromatography and spectrophotometric methods Eur Food Res Technol 221 ( 1 2 ): 202 20 7 Adl er E, Hoon MA, Mueller KL, Chandrashekar J, Ryba NJP, Zuker CS. 2000. A Novel Family of Mammalian Taste Receptors. Cell 100(6):693 702 Ahmed EM, Dennison RA, Shaw PE. 1978 a Effect of Selected Oil and Essence Volatile Components on Flavor Quality of Pumpou t Orange Juice. Journal of Agricul tural and Food Chemistry 26(2): 368 272 Ahmed EM, Dennison RA, Dougherty RH, Shaw PE. 1978 b Effect of nonvolatile orange juice components, acid, sugar, and pectin on the flavor threshold of d limonene in water. Journal of Agricultural and Food Chemistry 26(1): 192 194 Albrecht U, Bowman KD. 2008. Gene expression in citrus sinensis (L.) Osbeck following infection with the bacterial pathogen Candidatus Liberibacter asiaticus causing Huanglongbing in Florida. Plant Science 175: 291 306 Ahmed EM, Dennison RA, Dougherty RH, Shaw PE. 1978 c Flavor and odor thresholds in water of selected orange juice components. Journal of Agricultural and Food Chemistry 26(1):187 191 Attaway JA, Barron RW, Blair JG, Buslig BS, Carter RD, Dougherty MH, Fellers PJ, Fisher JF, Hill EC, Huggart RL, Maraulja MD, Petrus DR, Ting SV. 1972. Some New Analytical Indicators of Processed Orange Juice Quality, 1971 1972. Proceedings of the Florida State Horticultural Society pp 192 203 Bain J M. 1958. Morphologic al, Anatomical, and Physiological Changes in the Developing Fruit of the Valencia Orange, Citrus Sinensis (L.) Osbeck. Australian Journal of Botany 6(1):1 23. Baldwin E. Plotto A. Manthey J. McCollum G. Bai J. Irey M. Cameron R. Luzio G. 2010. Effect of L iberibacter infection (Huanglongbing disease) of citrus on orange fruit physiology and fruit/fruit juice quality: chemical and physical analyses. Journal of Agricultural and Food Chemistry 58(2):1247 1262 Bartholomew, E.T., and W.B. Sinclair. 1943. Soluble Constituents and Buffer Properties of Orange Juice. Plant Physiology 18(2):185 206 Bates RP, Morris JR. Crandall PG. 2001 Principles and practices of small and medium scale fruit juice processing. Food and Agricultural Organization of the United Nations. Available from:


88 Batool A, Iftikhar Y, Mughal SM, Khan MM, Jaskani MJ, Abbas M, Khan IA. 2007. Citrus Greening Disease A Major Cause of Citrus Decline in the world A review. Hort Sci 34:159 166 Bassanezi RB, Montesino LH, Gasparato MCG, Filho AB, Amorim L. 2011. Yield loss caused by huanglongbing in different sweet orange cultivars in Brazil. Eur J Plant Pathol 130:577 586 Bazemore R, Goodner K, Rouseff R. 1999. Volatiles from unpasteurized and excessively heated orange juice analyzed with solid phase microextraction and GC olfactometry. Journal of Food Science 64(5):800 803 Beattie GAC, Holford P, Mabbe rley DJ, Haigh A M, Bayer R, Broadbent P. 2006. Aspects and insights of Australia Asia collaborative research on Huanglongbing. Proc of the Intl. Workshop for the prevention of citrus greening disease in severely infected areas. Intl. Res. Div., Agric. Forestry Fisheries Res. Counc. Secretariat, Ministry of Agric., Forestry and Fisheries, Tokyo, Japan. pp. 47 64 Bemiller JN, Whistler RL. 1996. Carbohydrates. In: Fennema OR. Food Chemistry Third Edition New York: Marcel Dekker Bhardwaj RL, Mukherjee S. 2011. Effects of fruit juice blending ratios on kinnow juice preservation at ambient storage condition. African Journal of Food Science 5(5):281 286 Bock CH, Parker PE, Cook AZ, Graham JH, Gottwald TR. 2011. Infection and decontamination of citrus canker inoculated leaf surfaces. Crop Protection. 30(3):259 264 Bove JM. 2006. Huanglongbing: A Destructive, Newly Emerging Century Old Disease of Citrus. Journal of Plant Pathology 88(1):7 37. Braddock RJ. 1999. Handbook of Citrus By Products and Processing Technology. John Wiley & Sons, Inc Brewer MS, Zhu LG, Bidner B, Meisinger DJ, McKeith FK. 2001. Measuring pork color: effects of bloom time, muscle, pH and relationship to instrumental parameters. Meat Science 57(2):169 176 Cadwallader KR, Xu Y. 1994. Analysis of volatile compounds in fr esh grapefruit juice by Purge and Trap/Gas Chromatography. Journal of Agricultural and Food Chemistry 42:782 784 Calvo C, Salvador A, Fiszman SM. 2001. Influence of colour intensity on the perception of colour and sweetness in various fruit flavored yoghur ts European Food Research and Technology 213(2):99 103


89 Cameron RG, Baker RA, Buslig BS, Grohmann K. 2000. Effect of Juice Extractor Settings on Hamlin Orange Juice Cloud Stability. Journal of Food ProcessingPreservation. 24(6): 465 478 Canel C, Bailey Ser res JN, Roose ML. 1996. Molecular characterization of the mitochondrial citrate synthase gene of an acidless pummel (Citrus Maxima). Plant Molecular Biology 31(1): 143 147 Cayeula JA. 2008. Vis/NIR soluble solids prediction in intact oranges ( Citrus sinensis L.) cv. Valencia Late by reflectance. Postharvest Biology and Technology 47(1):75 80 Cepeda E, Villaran MC. 1999. Density and viscosity of Malus floribunda juic e as a function of concentration and temperature. Journal of Food Engineering 41(2):103 107 Chavez S. 2010. Briefing Report: Huanlongbing and the Asian Citrus Psyllid Threaten le from: Chen J. Montanari AM. Widmer WW. 1997. Two new polymethoxylated flavones, a class of comp ounds with potential anti cancer activity, isolated from cold press dancy tangerine peel oil solids. Journal of Agricultural and Food Chemistry 45(2):364 368 Chiou nan C. 1998. Ecology of the Insect Vectors of Citrus Systemic Diseases and Their Control in Taiwan. Department of Entomology. National Taiwan University. Taipei, Taiwan. Available from: Coffin DE. 1971. Method for the isolation and identification of the flav anone glycosides of citrus fruit juices. Journal of Agricultural and Food Chemistry 19(3):513 516 Corts C, Esteve MJ, Frgola A. 2008. Color of orange juice treated by High Intensity Pulsed Electric Fields during refrigerated storage and comparison with p asteurized juice. Food Control 19(2):151 158 Da Graca JV. 1991. Citrus greening disease. Annu. Rev. Phytopathol. 29:109 136 Da Graca JV. 2008. Biology, History and World Status of Huanglongbing. Hermosillo, Sonora, Mexico pp 1 7. Available from: 1%20Graca.pdf Dagulo L, Danyluk MD, Spann TM, Valim FM, Goodrich Schneider R, Sims C Rouseff R. 2010. Che mical Characterization of Orange Juice from Trees Infected with Citrus Greening (Huanglongbing). Journal of Food Science 75(2):199 207.


90 Davis R, Gunua T, Bellis G, Grimshaw J. 2005. Huanglongbing disease of citrus trees. Plant Protection Secretariat of th e Pacific Community. Pest Advisory Leaflet No 45. Available from: Davis WB. 1932. Deposits of oil in the juice sacs of citrus fruits. Am erican Journal of Botany 19(2):101 105 De Ancos B, Sgroppo S. 2002. Plaza L. Cano MP. Possible nutritional and health related value promotion in orange juice preserved by high pressure treatment. Journal of the Science of Food and Agriculture 82(8):790 796 Dewdney MM, Graham JH. 2011. 2012 Florida Citrus Pest Management Guide: Citrus Canker. IFAS extension. Available here: Duan Y, Zhou L, Hall DG, Li W, Doddapaneni H, Lin H, Liu L, Vahling CM, Gabriel DW, Williams KP, Dickerman A, Sun Y, Gottwald T. 2009. Complete Genome Candidatus Liberibacter Microbe Interactions 22(8): Economic Research Service (ERS). 2011. Fruit and Tree Nuts Outlook. USDA. Available from: f Elston A, Lin J, Rouseff R. 2005. Determination of the role of valencene in orange oil as a direct contributor to aroma quality. Flavor and Fragrance Journal 20:381 386. European and Mediterranean Plant Protection Organization (Eppo). 2011. Data Sheets on Quarantine Pests: Citrus Greening Bacterium. European and Mediterranean Plant Protection Organization. Available from: robacter_africanum/LIBESP_ds .pdf Faghihi MM, Salehi M, Bagheri A, Izadnapah K. 2008. First report of Citrus Huanglongbing disease on Orange in Iran. New Disease Reports. Available from: woman wants glenn beck to run for president seems right/ Fan G. Qiao Y. Yao X. Mo D. Wang K. Pan S. 2009. Free and bound volatile compounds in juice and peel of Jinc heng oranges. European Food Research and Technology 229(4):571 578 FAO. 2006. Citrus Fruit: Fresh and Processed Annual Statistics. Available from: http://www.ars. 017.pdf


91 Fellars PJ. 1991. The relationship between the ratio of degrees Brix to percent acid and sensory flavor in grapefruit juice. Food Technology 45(7):68 75 Fletcher P. 2010. Freeze mauls Flori da citrus, significant damage seen. Thomson Reuters. Available here: citrus freeze idUSN1114830920100111 F lorida Citrus Mutual (FCM). 2011. Timeline of Major Florida Freezes. Available here: issues/weather/freeze_ timeline.aspx Floyd J, Krass C. 2006. New Pest Response Guidelines: Citrus Greening Disease. USDA APHIS PPQ Emergency and Domestic Programs, Riverdale, Maryland. Available from: Folimonova SY, Achor DS. 2010. Early Events of Citrus Greening (Huanglongbing) Disease Development at the Ultrastructural level. Phytopathology 100(9):949 958 Fong CH, Hasegawa S, Coggins CW, Atkin DR, Miyake M. 1992. Contents of limonoids and limonin 17 D glucopyranoside in fruit tissue of Valencia orange during fruit growth and maturation. Journal of Agricultural and Food Chemistry 40(7):1178 1181 Gama JJT, Sylos CM. 2005. Major carote noid composition of Brazilian Valencia orange juice: Identification and quantification by HPLC. Food Research International 38(8 9):899 903 Gao S, Garnier M, Bove JM. 1993. Production of Monoclonal Antibodies Recognizing Most Asian Strains of the Greening BLO by In Vitro Immunization with an Antigenic Protein Purified from the BLO. Proceedings of 12 th Conference IOCV, IOCV, Riverside 1993, 244 249 Garnier M, Bove JM. 1993. Citrus Greening Disease and the Greening Bacterium. Available here: Garnier M, Jagoueix Eveillard S, Cronje PR, Le Roux HF, Bove JM. 2000. Genomic Characterization of a liberibacter present in a n ornamental rutaceous tree, Calolendrum capense in the Western Cape province of South Africa. Proposal of Candidatus Systematic and Evolutionary Microbiology 50:2119 2125


92 Goodrich s chneide r R, Sims CA, Spann T, Danyluk MD, Rouseff RL. 2008. Effect of greening plant disease (Huanglongbing) on orange juice flavor and consumer acceptability. Intl. Research Goodrich Schneider 2008 on Huanglongbing Orlando Fla Available from: Schneider 2008/proceedings.pdf Gottwald TR, da Graa JV, Bassanezi R B. 2007 a Citrus Huanglongbing: The pathogen and its impact. Plant Hea lth Progress. Available from : Gottwald TR. 2007 b Citrus Canker and Citrus Huanglongbing, Two Exotic Bacterial Diseases Threatening the Citrus Industries of the Western Hemisphere. Outlook on Pest Management. Available here: oks%20on%20Pest%20Management%20DOI_%2010.1564_18oct00.pdf Graumlich TR, Marcy JE, Adams JP. 1986. Aseptically packaged orange juice and concentrate: a review of the influence of processing and packaging conditions on quality. Journal of Agricultural and Food Chemistry 34(3): 402 405 Green CO. Wheatley AO. Osagie AU. Morrison EYSA. Asemota HN. 2007. Determination of polymethoxylated flavones in peels of selected Ja maican and Mexican citrus (Citrus spp. ) cultivars by high performance liquid chromatography. Biomedical Chromatography 21(1):48 54 Grodowska K, Parczewski A. 2002. Analytical methods for residual solvents determination in pharmaceutical products. Polish Ph armaceutical Society 67(1):13 26 Gross J. 1987. Pigments in Fruits Guadagni DG, Maier VP, Turnbaugh JG. 1973. Effect of some citrus juice constituents on taste thresholds for limonin and naringin bitterness. Journal of the Science of Food and Agriculture 24(10):1277 1288 Hark er FR, Marsh KB, Young H, Murray SH, Gunson FA, Walker SB. 2002. Sensory interpretation of instrumental measurements 2: sweet and acid taste of apple fruit. Postharvest Biology and Technology 24(3):241 250 Haseg awa S, Patel MN, Snyder RC. 1982. Reduction o f Limonin Bitterness in Navel Orange Juice Serum with Bacterial Cells Immobilized in Acrylamide Gel. Journal of Agricultural and Food Chemistry 30(3):509 511


93 Helm E, Trolle B. 1946. Selection of taste panel. Wallerstein Lab Commun. 9(28):181 194 Hocquellet A, Bove JM, Garnier M. 1999. Isolation of DNA from the Uncultured Candidatus RAPD. Current Microbiology 38:176 182 Hognadottir A. Rouseff R. 2003. Identification of aroma active compounds in orange essence oil using gas chromatography olfactometry and gas chromatography mass spectrometry. Journal of Chromatography A 998(1 2):201 211 Huggart RL, Rouse AH, Moore EI. 1975. Effect of Maturity, Variety and Processing On Color, Cloud, Pectin and Wa ter Insoluble Solids of Orange Juice. Proceedings of the Florida State Horticultural Society pp 342 345 Hui YH. Chen F. Nollet MLM. Guine RPF. Pessoa FLP. Minguez Mosquera IM. 2010. Handbook of Fruit and Vegetable Flavors. John Wiley & Sons, Inc. Hoboken, New Jersey. Hunter RS. 1958. Photoelectric Color Difference Meter. Journal of the Optical Society of America 48(12):985 995 Inyang UE, Abah UJ. 1997. Chemical composition and organoleptic evaluation of juice from steamed cashew apple blended with orange j uice. Plant foods for Human Nutrition 50:295 300 Irey M, Gottwald TR, Graham JH, Riley TD, Carlton G. 2006. Post hurricane Analysis of Citrus Canker Spread and Progress towards the Development of a Predictive Model to Estimate Disease Spread Due to Catastr ophic Weather Events. Plant Management Network. Available here: Jagoueix S Bove JM, Garnier M 1994. The Phloem L imited Bacterium of Greening Proteobacteria International Journal of Systematic Bacteriology 44(3):379 386 Jagoueix S, Bove JM, liberobacter speci es associated with greening disease of citrus. Molecular and Cellular Probes 10(1):43 50 Jagoueix S, Bove JM, Garnier M. 1997. Comparison of the 16S/23S Ribosomal Candidatus Candidatus Liberobacter africanu (Greening) Disease. International Journal of Systematic Bacteriology 47(1):224 227 Jaya S, Das H. 2003. Sensory Evaluation of Mango Drinks using Fuzzy Logic. Journal of Sensory Studies 18(2):163 176


94 Jayasena V, Cameron I. 2008. Brix/acid ratio as a predictor of consumer acceptability of crimson seedless table grapes. Journal of Food Quality 31(6):736 750. Jia C, Luo Y, Pawliszyn J. 1998. Solid phase microextraction combined with HPLC for determinatio n of metal ions using crown ether as selective extracting reagent. Journal of Microcolumn Separations 10(2):167 173 Jia M, Zhang QH, Min DB. 1999. Pulsed electric field processing effects on flavor compounds and microorganisms of orange juice. Food Chemist ry 65(4): 445 451 Johnson JR. Braddock RJ. Chen CS. 1996. Flavor losses in orange juice during ultrafiltration and subsequent evaporation. Journal of Food Science 61(3):540 543 Jordan RB, Seelye RJ, McGlone CA. 2001. A sensory based alternative to brix/ac id ratio. Food Technology 55(6):36 44. Jordan MJ, Goodner KL, Laencina J. 2003. Deaeration and pasteurization effects on the orange juice aromatic fraction. Food Science and Technology 36(4):391 396 Kelebek H, Selli S, Canbas A, Cabaroglu T. 2009. HPLC de termination of organic acids, sugars, phenolic compositions and antioxidant capacity of orange juice and orange wine made from a Turkish cv. Kozan. Microchemical Journal 91:187 192 Kimball DA. 1999. Citrus Processing: A complete guide. Second edition. Aspe n Publishers, Inc. pp. 218 219 Kinnamon SC, Cummings TA. 1992. Chemosensory Transduction Mechanisms in Taste. Annual Review of Physiology 54:715 731 Kometani T, Nishimura T, Nakae T, Takii H, Okada S. 1996. Synthesis of neohesperidin glycosides and naringi n glycosides by cyclodextrin glucanotransferase from an Alkalophilic Bacillus species. Biosci. Biotech. Biochem. 60:645 649 Kramer A, Twigg BA. 1970. Quality Control for The Food Industry Third edition. Westport, Connecticut: AVI Pub lishing company. Lawless HT, Hermann H. 1999. Sensory evaluation of food: principles and practices. Aspen Publishers, Inc. Li W, Hartung JS, Levy L. 2006. Quantitative real time PCR for detection and identification of Candidatus Liberibacter species associated with citru s huanglongbing. Journal of Microbiological Methods 66:104 115


95 Lin H, Doddapaneni H, Bai X, Yao J, Zhao X, Civerolo E. 2008. Acquisition of uncharacterized sequences from Candidatus Liberibacter, an unculturable bacterium, using an improved genomic walkin g method. Molecula r and Cellular Probes 22(2008): 30 37 Lindsay RC. 1996. Flavors. In: Fennema OR. Food Chemistry Third Ed ition. New York: Marcel Dekker. Lopes SA, Bassanezi RB, Belasque J, Yamamoto PT. 2010. Management of Citrus Huanglongbing in the St ate of Sao Paolo, Brazil. Food & Fertilizer Technology Center for the Asian and Pacific Region. Available from: Love LA, Sterns J, Spreen T, Wysocki A. 2006. Changing P atterns Of Orange Juice Consumption in The Southern United States. Southern Agricultural Economics Association Annual Meetings. Available here: 485/1/sp06lo01.pdf Maarse H. 1991. Volatile compoundsin foods and beverages. Marcel Dekker, Inc. New York, New York. pp 308. Manner HI, Buker RS, Easton Smith V, Elevitch CR. 2006. Citrus species (citrus), ver. 2.1. In: Elevitch, C.R. (ed.). Species Profi les for Pacific Island Agroforestry. Melendez Martinez AJ, Britton G, Vicario IM. Heredia FJ. 2005. Color and carotenoid profile of Spanish Valencia late ultrafrozen orange juices. Food Re search International 38(8 9):931 936 Mendoza F, Dejmek P, Aguilera JM. 2006. Calibrated color measurements of agricultural foods using image analysis. Postharvest Biology and Technology 41 :285 295 McClean APD, Oberholzer PCJ. (1965). Citrus psylla, a vector of greening disease of sweet orange. South African Journal of Agricultural Science 8: 297 298 Meilgaard MC, Civille GV. Carr BT. 2007. Sensory Evaluation Techniques Fourth Edition. C RC Press. Taylor and Francis Group. Milliken CS, Tylor AR, Bonns WW, Webber HJ. 1919. A Study of the Effects of Freezes on Citrus in California. University of Ca lifornia Press 55: 247 296 Available here: sof00webbiala.pdf


96 Moshonas MG. Shaw PE. 1987. Quantitative analysis of orange juice flavor volatiles by direct inject ion gas chromatography. Journal of Agricultural and Food Chemistry 35(1):161 165 Moshonas MG. Shaw PE. 1994. Quantitative determination of 46 volatile constituents in fresh, unpasteurized orange juices using dynamic headspace gas chromatography. Journal of Agricultural and Food Chemistry 42(7):1525 1528 Moshonas MG, Shaw PE. 1997. Flavor and chemical comparison of pasteurized and fresh Valencia orange juices. Journal of Food Quality 20(1):31 40 Mouly PP, Arzouyan CR, Gaydou EM, Estienne JM. 1994. Differenti ation of citrus juices by factorial discriminant analysis using liquid chromatography of flavanone glycosides. Journal of Agricultural and Food Chemistry 42(1):70 79 Mouly PP, Gaydou EM, Auffray A. 1998. Simultaneous separation of flavanone glycosides and polymethoxylated flavones in citrus juices using liquid chromatography. Journal of Chromatography A 800(2):171 179 Mounts TL, Warner K. 1980. Evaluation of Finished Oils. Available from: Murray RGE, Stackebrandt E. 1995. Taxonomic Note: Implementation of the Provisional Status Candidatus for Incompletely Described Procaryotes. International Journal of Systematic and Evolutionary Microbiology Vol 45(1):186 187 Mr ak EM, Stewart GF. 1954. Advances in Food Research. Academic Press Inc. pp 304 National Research Council. 2010. "2 Challenges to Citrus Production." Strategic Planning for the Florida Citrus Industry: Addressi ng Citrus Greening. Washington, DC: The National Academies Press, Print. Available here: Nielsen SS. 2010. Food Analysis Fourth Edition. Springer Science+Business Media, LLC. pp 516. Nisperos Carri edo MO Shaw PE. 1990. Comparison of Volatile Flavor Components in Fresh and Processed Orange Juices. Journal of Agricul tural and Food Chemistry 38(4): 1048 1052 Niu L, Wu J, Liao X, Chen F, Wang Z, Zhao G, Hu X. 2008. Physicochemical characteristics of ora nge juice samples from seven cultivars. Agricultural Sciences in China 7(1):41 47 Norman MD, Clein W. 1956. Acelora juice The richest known source of vitamin C: a clinical study in infants. The Jo urnal of Pediatrics 48(2): 140 145


97 Obenland D, Collins S, M ackey B, Sievert J, Fjeld K, Arpaia ML. 2009. Determinants of Flavor acceptability during the maturation of navel oranges. Postharvest Biology and Technology 52(2):156 163. Ooghe WC, Ooghe SJ, Detavernier CM, Huyghebaert A. 1994. Characterization of orange juice ( Citrus sinensis ) by flavanone glycosides. Journal of Agricultural and Food Chemistry 42(10):2183 2190 from: Patton S. Josephson DV. 1957. A method of determining significance of volatile flavor compounds in foods. Journal of Food Science 22(3): 316 318 Pena JE, Sharp JL, Wysoki M. 2002. Tropical fruit pests and pollinators: biology, economic importance, natural enemies and control. Cabi Publishing. pp 73 74. Peryam DR, Swartz VW. 1950. Measurements of sensory differ ences. Food Technology 4(1950): 390 Phillips KM, Tarrago Trani MT, Gebh ardt SE, Exler J, Patterson KY, Haytowitz DB. Pehrsson PR. Holden JM. 2010. Stability of Vitamin C in frozen raw fruit and vegetable homogenates. Journal of Food Com position and Analysis 23(2010): 253 259 Plaza L, Sanchez Moreno C, de Ancos B, Elez Martin ez P, Martin Belloso O, Cano MP. 2011. Carotenoid and flavanone content during refrigerated storage of orange juice processed by high pressure, pulsed electric fields and low pasteurization. Food Science and Technology 44( 4): 834 839 Plotto A, Baldwin E, M cCollum G, Manthey J, Narciso J, Irey M. 2010. Effect of Juice Flavor Quality by Sensory Evaluation. Journal of Food Science 75(4):220 230. Polydera AC, Galanou E, Stoforus NG, Taoukis PS. 2004. Inactivation kinetics of pectin methylesterase of greek Navel orange juice as a function of high hydrostatic pressure and temperature conditions. Journal of Food Engineering 62(3): 291 298 Qiao Y. Xie BJ. Zhang Y. Zhang Y. Fan G. Yao XL. Pan S. 2008. Characterization o f aroma active compounds in fruit juice and peel oil of jinchen sweet orange fruit ( Citrus sinensis (L.) Osbeck) by GC MS and GC O. Molecules 13:1334 1344 Raj D, Sharma PC, Vaidya D. 2011. Effect of blending and storage on quality characteristics of blend ed sand pear apple juice beverage. Journal of Food Science and Technology 48(1):102 105


98 Rapisarda P, Pannuzzo P, Romano G, Russo G. 2003. Juice components of a new pigmented citrus hybrid Citrus sinensis (L.) Osbeck Citrus clementina Hort. ex Tan. Journa l of Agricultural and Food Chemistry 51(6):1611 1616 Redd JB, Hendrix CM, Hendrix DL. 1986. Quality Control Manual For Citrus Processing Plants Book I. Intercit, Inc. Safety Harbor, Florida. Rouseff RL. 1982. Nomilin, a new bitter component in grape fr uit juice. Journal of Agricultural and Food Chemistry 30(3):504 507 Rousseff RL, Martin SF, Youtsey CO. 1987. Quantitative survey of narirutin, naringin, hesperidin and neohesperidin in citrus. Journal of Agricultural and Food Chemistry 35(6):1027 1030 Ro useff RL, Raley L. 1996. Application of Diode Array Detection with a C 30 Reversed Phase Column for the Separation and Identification of Saponified Orange Juice Carotenoids. Journal of Agricultural and Food Chemistry 44(8):2176 2181 Sanche z Moreno C, Plaz a L, de Ancos B, Cano MP. 2003. Vitamin C, Provitamin A Carotenoids, and Other Carotenoids in High Pressurized Orange Juice during Refrigerated Storage. Journal of Agricultural and Food Chemistry 51(3):647 653 Sagaram US, DeAngelis KM, Triv edi P, Andersen GL, Lu S, Wang N. 2009. Bacterial Diversity Analysis of Huanglongbing Pathogen Infected Citrus, Using PhyloChip Arrays and 16S rRNA Gene Clone Library Sequencing. Applied and Environmental Micr obiology 75(6): 1566 1574 Schubert TS, Rizvi SA Sun X, Gottwald TR, Graham JH, Dixon WN. 2001. Meeting the Challenge of Eradicating Citrus Canker in Florida Again. The American P hytopathological Society 85(4): 340 356 Sechler A, Schuenzel EL, Cooke P, Donnua S, Thaveechai N, Postnikova E, Stone AL, Schnei der WL, Dams teegt VD, Candidatus Ca Ca Huangl ongbing. Phytophathology 99(5): 480 486 Selli S. Cabaroglu T. Canbas A. 2004. Volatile flavor components of oran ge juice obtained from the cv. Kozan Turkey. Journal of Food Composition and Analysis 17(4):789 796 Sharon Asa L, Shalit M, Frydman A, Bar E, Holland D, Or E, Lavi U, Lewinsohn E, Eyal Y. 2003. Citrus fruit flavor and aroma biosynthesis: isolation, functio nal characterization, and developmental regulation of Cstps1 a key gene in the production of the sesquiterpene aroma compound valencene. The Plant Journal 36(5):664 674


99 Shaw PE. 1977. In Citrus Processing Science and Technology, Vol 1. Nagy S. Shaw PE. Ve ldhuis MK. Ed. Avi Publishing Co. Westport Conn. p 000 Shaw PE. 1979. Review of quantitative analyses of citrus essential oils. Journal of Agricultural and Food Chemistry 27(2):246 257 Shaw PE. Wilson CW. 1980. Importance of selected volatile components to natural orange, grapefruit, tangerine and mandarin flavors. In Citrus Nutrition and Quality. pp 167 190 Shaw PE. Buslig BE. Moshonas MG. 1993. Classification of commercial orange juice types by pattern recognition involving volatiles constituents quantif ied by gas chromatography. Journal of Agricultural and Food Chemistry 41(5):809 813 Shaw PE. Buslig BS. Wilson CW III. 1983. Total citrate content of orange and grapefruit juices. Journal of Agricultural and Food Chemistry 31(1):182 184 Shaw PE, Buslig BS, Moshonas MG. 1993. Classification of commercial orange juice types by pattern recognition involving volatile constituents quantified by gas chromatography. Journal of Agricultural and Food Chemistry 41:809 813 Shokrollah H, Abdullah TL, Sijam K, Abdullah SNA. 2011. Identification of physical and biochemical characteristics of mandarin ( citrus reticulata ) fruit infected by Huanglongbing (HLB). Australian Journal of Crop Science 5(2):181 186 Slattery ML Benson J Curtin K Ma K, Schaeffer D, Potter JD. 2000 Carotenoids and colon cancer. American Journ al of Clinical Nutrition 71(2): 575 582 Slaughter DC, Obenland DM, Thompson JF, Arpaia ML, Margosan DA. 2008. Non destructive freeze damage detection in oranges using machine vision and ultraviolet fluorescence. Postharvest B iology and Technology 48(2008): 341 346 Snyder JM, Frankel EN, Selke E, Warner K. 1988. Comparison of Gas Chromatographic Methods for Volatile Lipid Oxidation Compounds in Soybean Oil. Journal of the American Oil Chemists Society 65:1617 1620 Spiegel Roy P, Goldschmidt EE. 1996. Biology of Citrus. Cambridge University Press. Stall RE, Seymour CP. 1983. Canker, A Threat to Citrus in the Gulf Coast States. Plant Disease 67: 581 585 Steinmetz KA Potter JD, Folsom AR. 1993. Vegetables, Fruit, and Lung Cancer in the alth Study. Cancer Research 53: 536 543 Stewart I. 1977. Provitamin A and Carotenoid Content of Citrus Juices. Journal of Agricultural and Food Chemistry 25(5):1132 1137

PAGE 100

100 Stone H, Sidel JL. 2004. Sensory Evaluation Practices Third Edition. Elsevier Academic Press. Stover E, Castle WS, Spyke P. 2008. The Citrus Grove of the Future and its Implication for Huanglongbing Management. Proceedings of the Florida State Horticultural Society. Vol 121: 155 159. Available from: Sullivan M, Zink R. 2010. Potential Differences for HLB between Florida and the Western States. Plant Health. USDA Animal and Plant Health Inspection. Available from: ds/pdf_files/hlb.pdf Swift LJ. 1965. Peel juice flavor: proximate analyses of Florida orange peel juice extract for 1962 63 and 1963 64 seasons. Journal of Agricultural and Food Chemistry 13(3):282 284 Tatineni S, Sagaram US, G owda S, Robertson CJ, Dawson WO, Iwanami T, Wang N. Candidatus Polymerase Chain Reaction (PCR) and Real Time PCR. The Ameri can Phytopathology Society. 98: 592 598. Teixeira DC, Saillard C, Eveillard S, Danet JL, Da Costa PI, Ayres AJ Bove J. 2005. Candidatus (greening disease) in Sao Paolo State, Brazil. Tei xeira DC, Saillard C, Couture C, Martins EC, Wulff NA, Eveillard Jagoueix S, Yamamoto PT, Ayres AJ, Bove JM. 200 8. Distribution and quantification of Candidatus Liberibacter americanus, agent of huanglongbing disease of citrus in So Paulo State, Brasil, in leaves of an affected sweet orange tree as determined by PCR. Molecular and Cellular Probes 22(3):139 150 Tepp er BJ. 1993. Effects of a slight color variation on consumer acceptance of orange juice. Journal of Sensory Studies 8(2):145 154 TetraPak. 2004. The Orange Book. Tetra Pak Processing Systems. Lund, Sweden. Topuz A, Topakci M, Canakci M, Akinci I, Ozdemir F 2005. Physical and nutritional properties of four orange varieties. Journal of Food Engineering 66(4): 519 523 Tiwari BK, M Cullen PJ. 2008. Colour degradation and quality parameters of sonicated orange juice using response surface methodology. LWT Food Science and Technology 41(10): 1876 1883 Tsai C, Hung T, Su H. 2008. Strain identification and distribution of citrus Huanglongbing bacteria in Taiwan. Plant Pathology 49: 49 56

PAGE 101

101 USDA. 1983. United States Standards for Grad es of Orange Juice. Available from: USDA. 2006. Recovery Plan for Huanglongbing (HLB) or Citrus greening caused by Candidatus Liberibacter Africanus, L. Asiaticus, and L. Americanus. Available from: 0 17.pdf USDA (FAS) 2006. Situation and Outlook for Citrus. Foreign Agricultural Service. Fruits and Vegetable Analysis. Available from: http://www.fas.usda.go v/htp/Hort_Circular/2006/02 06/02 20 06%20Citrus%20Feature.pdf USDA. 2007. Background Statistics: US Citrus Market. Economic Research Service The Economics of Food, Farming, Natural Resources and Rural America. Available from: USDA 2011. Hungry Pests Asian Citrus Psyllid. Animal and Plant Health Inspection Service United States Department of Agriculture. Available from: USDA 2012 Plant Health Citrus Greening Animal and Plant Health Inspection Service. United States Department of Agriculture. Availab le from : ml Villechanoux S, Garnier M, Renaudin J, Bove JM. 1992. Detection o f Several Strains of Bacterium Like Organism of Citrus Greening Disease by DNA Probes. Current Microbiology 24:89 95 Wagner CJ, Shaw PE. 1978. Sensory evaluations on Tangerine Grapefruit Juice Blends. Journal of Food Science 43(1):267 269 Wu Y, Hamouz F, S chnepf M. 1998. Factors affecting static headspace gas chromatographic analysis of lipid oxidation in precooked meat. Journal of Agricultural and Food Chemistry 46(9):3677 3682 FAO Citrus Symposium. Available from: Yang X, Peppard T. 1994. Solid phase microextraction for Flavor analysis. Journal of Agricultural and F ood Chemistry 42:1925 1930 Yoon KY, Woodams EE, Hang YD. 2006 Relationship of acid phosphatase activity and Brix/acid ratio in apples. LWT Food Science and Technology 39(3):316 320

PAGE 102

102 Zanzig BR. 1997. Natural Disasters and the Yield Curve of Florida Valenci as. Western Agricultural Economics Association. Available here: Zhang Z, Pawliszyn J. 1993. Headspace solid phase microext raction. Analytical Chemistry 65:1843 1852 Zuritz CA, Muoz Puntes E, Mathey HH, Prez EH, Gascn A, Rubio LA, Carullo CA. Chernikoff RE. Cabeza MS. 2005. Density, viscosity and coefficient of thermal expansion of clear grape juice at different soluble solid concentrations and temperatures. Journal of Food Engineering 71(2):143 149

PAGE 103

103 BIOGRAPHICAL SKETCH interest in food science sprang from visiting a sup erstore for the very first time and culminated in a genuine curiosity about food production and processing This spurred him on to pursue a bachelor of s cience in chemical engineering from New Jersey Institute of Technology. Upon graduating in May 2009 a nd with thoughts of pursuing a higher degree, Chinedu was eager to satisfy his now insatiable hunger for food science. Luckily, he became aware of University of Florida offering a m asters d egree in food science and human nutrition thus applying and gettin g admission in January 2010. Chinedu has greatly enjoyed his experience as a Food Science graduate stud ent, gaining some knowledge in Food Product D evel opment, Food chemistry and Citrus Processing In addition, Chinedu has been buoyed by the opportunity to participate in research that has helped hone his analytical and sensory skills Graduating in May 2012, Chinedu hopes to obtain a career in food product development with an eye to starting a food business in the long term