Group Title: Department of Soils mimeograph series
Title: Notes on the problem of mixing minor element materials in fertilizer
CITATION THUMBNAILS PAGE IMAGE ZOOMABLE
Full Citation
STANDARD VIEW MARC VIEW
Permanent Link: http://ufdc.ufl.edu/UF00091553/00001
 Material Information
Title: Notes on the problem of mixing minor element materials in fertilizer
Alternate Title: Department of Soils mimeograph series 54-2 ; University of Florida
Physical Description: 8 leaves : ; 28 cm.
Language: English
Creator: Fiskell, John G. A
Hanson, W. D ( Warren Durward ), 1921-
University of Florida -- Dept. of Soils
Publisher: Department of Soils, University of Florida
Place of Publication: Gainesville, Fla.
Publication Date: 1955
 Subjects
Subject: Fertilizers -- Florida   ( lcsh )
Fertilizers -- Analysis -- Florida   ( lcsh )
Genre: government publication (state, provincial, terriorial, dependent)   ( marcgt )
non-fiction   ( marcgt )
 Notes
Statement of Responsibility: J.G.A. Fiskell and W.D. Hanson.
General Note: Caption title.
General Note: "June 14, 1955"--Stamped on leaf 1.
 Record Information
Bibliographic ID: UF00091553
Volume ID: VID00001
Source Institution: University of Florida
Holding Location: University of Florida
Rights Management: All rights reserved by the source institution and holding location.
Resource Identifier: oclc - 310116847

Full Text


DEPARTMENT OF SOILS MIMEOGR H SERIES NO. _5-2 J 1IN 14 1955


NOTES ON THE PROBLEM ~ MIXING MINOR EIEMENT MATERIALS IN FERTILIZER.1

J. G. A. Fiskel and W. D. Hanson2

There are two problems that arise in the mixing of a declared amount of

minor element, such as copper in the sulfate form, with the main goods in the

mix. First, there is the problem of getting a uniform mix and secondly, of main-

taining a uniform mix in shipment. In the latter case there is the marked tend-

ency of larger particles of the mix to shift to the top. The sampling of this

mix, its analysis, and its final application to the land, involve these two prob-

lems.

Let us consider some obvious fundamentals relating to the chances of getting

a true sample from a supposedly uniform mix. This true sample may also be ex-

pressed as the distribution of the fertilizer ingredients per unit length in the

drill row.

In any sample volume, the number of particles is limited by the size of the

particles. Each particle occupies a certain volume in the mix and a certain

volume of the mix can be occupied by each ingredient of the mix. The number of

particles per unit volume depends on the particle size and the particle shape.

Case I. Particles the Same Size

Certain fertilizer materials have about the same distribution of particle

sizes, some materials are very fine and others rather coarse. For the sake of a

discussion of probabilities, let us assume that the particles are spherical or

balls and the same size.

Suppose, for example, we represent the ingredient containing the minor ele-

ment by a blue balls, a carrier or conditioner by b green balls and the main

ingredient, for example superphosphate, by c white balls, the balls being



1 Contribution from the Department of Soils and Department of Agronomy of the
University of Florida.
2 Assistant Biochemist, and Assistant Professor of Agronomy, respectively.




-2-


indistinguishable apart from their color. Suppose further that a is very much

less than b or c and b equals c and an b and c are large numbers as would be

found in a very small particle size (say 1010, 1020, and 1020, respectively).

The a blue balls and b green balls are put in Bin I (Fertilizer) and mixed well.

The c white balls are placed in Bin II. In any random sample withdrawn from Bin I,

the blue and green balls are in the ratio a/b and in fact, if we find x blue

balls in a grab sample there will probably be x X b/a green balls accompanying it.

With the large numbers suggested above, statistical fluctuations till be very

small, e.g., in a grab sample containing one hundredth of the balls in the bag,

the standard variation is 0.01% (1).

Suppose now that we add the contents of Bin I to Bin II and mix well. This

corresponds to adding the premix of minor element and carrier or conditioner to

the fertilizer mix. There are now a + b + c balls that are indistinguishable

while in the bin. If we withdraw one ball, the probability of it being blue,

green or white is in the ratio a r b s c and if we withdraw y balls in the sample,

there will probably be a.y/(a+b*c) blue, b.y/(a+btc) green and c.y/(a+b+c) white

balls. The ratio blue/green = a.y b.y = a/b as before and correspondingly
a+b+c a+--c
if we find z blue balls in a grab sample, there will be z.b/a green balls accom-

panying it, which came originally out of Bin I, plus some white balls. Thus the

number of green balls in a sample may be obtained by multiplying the number of

blue balls found to be present by the factor b/a. The ratio a/b and hence b/a

is known from a knowledge of how many blue and green balls were put in Bin I or

how much minor element ingredient was added to a given proportion of another

fertilizer ingredient in the premix.

The case of caking of the mix or of shifting of the mix in the bag or bin can

also be considered. Suppose that in certain time Q balls out of the added

(a + b) fertilizer from Bin I cake or shift in the mix. Then of these Q balls

(1) Yule, V. and M. G. Kendall, Theory of Statistics. Griffin, London. 1965.




-3 -


(a/a+b) Q will be blue balls and (b/a+b)Q will be green balls and the ratio of

blue/green balls left is a (a/a+b)Q
.- - a/b as before. If R of these balls sub-
_b _b ab Q -

sequently break up in the cake or reshift, the ratio blue/green balls will still

be unchanged. Likewise the ratio blue/white balls will be unchanged in the mix

after the primary uniform mix.

Sampling of n balls in succession from w in a fertilizer bag containing p w

blue and g n white balls will be such that the square of the deviation, o- in

the number of blue balls is n. p. g X(w n). If the sample contains n 1018


balls and w 1020 balls or 100 times the sample taken and p = 101, g = 1 from

which it can be shown that the standard deviation, o" is 0.01%. Probability of

a sample showing a variation greater than 0.05% is 0.00001. (2)

Thus by a thorough incorporation of finely ground ingredient with a portion

of the mix also finely ground, the chances of drawing an accurate sample of the

minor element are very probable. Note that such a fertilizer when passing the

fertilizer drill should spread a uniform distribution of a, b and c particles per

unit distance in the row. Data are not available on such sampling studies.

Case II. Particles Varying Greatly in Size Distribution

In many fertilizer materials such as superphosphate the particle size is far

from uniform, the weight of particles passing 100 mesh screens being about the

same as the weight of particles not passing the screen. In the cases of sulfates

of copper, iron, zinc, or manganese, the average particle sizes are likely to be

above 20 mesh for reasons of hydroscopic qualities or visual identification by

the buyer. The large particle size makes the task of achieving a uniform mix and

adequate sampling a difficult one. In any sample volume, the large particle of

one ingredient a may occupy more space in the sample than the declared ratio for

the whole mix. This case will then result in the ingredient a having a higher

(2) Spinks, J. W. T. and S. A. Barber. Sci, Agric. 27: 145-156. (1947)




-4 -


analysis in the sample than the declared value. On the other hand, there are

quite likely to be samples where the large particle or particles may be below the

declared ratio of ingredient to whole mix because they were missed in sampling.

This results in a value lower than the declared value for ingredient a. What

tolerance or confidence limits can we expect with respect to the size of the

particles?

For illustration of this point let us consider the following data on parti-

cle size of a sample of copper sulfate and apply these data to the sampling prob-

lem. The data are shown in Table I.

TABLE I. General Information on the Particle Size Distribution of a Sample of
Copper Sulfate and on Fertilizer Volumes.

(a) Copper Sulfate Size Distribution:

Particle size Weight Volume Number of particles Average volume
mm. % of total per 100 gm. per pound per particle, c.c.

4.8 or greater 9.0 85 3.90 x 103 0.12

4.8 to 2.0 60.8 90 2.04 x 104 0.002

2.0 or less 30.2 90 3.54 x 105 0.001

(b) A sample of 4-7-5 fertilizer:

100 pounds of 4-7-5 fertilizer occupying 1.43 cubic feet, or 4.05 x 10t c.c.

and containing 1% or 1 pound of copper sulfate in each 100 pounds of fertilizer

mix.


(c) Sampling volumes:

In a sampling procedure drawing 1 pint from each of ten one-hundred pound

bags of the fertilizer, the sample then is cut to one quart. This is split, one-

half for official analysis and one-half kept in reserve.

(d) General assumptions:

General assumptions are that we have a volume V (large) of fertilizer con-

taining N (large) particles of copper sulfate. Secondly, the particles of


1








copper sulfate and fertilizer particles have approximately the same specific

gravity. Thirdly, assume that the particles of copper sulfate are of a constant

size s and randomly distributed in the fertilizer mix. This situation may be

likened to balls of a particular size suspended in a liquid. Let p be the prob-

ability of a particle of copper sulfate being selected in a sample volume v,

this sample being small compared to the whole bulk. Then Np s n number of

particles expected in the volume v. Since a Poisson distribution is encountered

then the variance in numbers becomes equal to the expected number, so that

variance o-2 N = n.

From the information in Table I we have calculated the pure or random sam-

pling error resolving from particular particle size and volume. These data are

given in Table II.

The percentage errors, %, given in Table II arise from random fluctuations

of the balls of the given size and density with respect to a selected volume of

sample. Let the variability arising from random fluctuation of particle number

in the sample be ~. Further errors in determination arise from non-random dis-

atibution of copper sulfate particles in the fertilizer due to shifts or poor

mixing. Let this source of variability be ~2. After the original sample is

ground for the homogeneity required for accurate analysis, errors arise from

sub-sampling of this ground material and in analysis. Let this source of varia-

bility be f2. Then the total variance for a determination of the copper sulfate

content in the mix would be
2 2 2 2
S t + 2M + 2 when errors are independent.

Although OA2 would not be expected to be too large, d2 could be large as compared

to 2, thus appreciably increasing the errors expected for any one determination.
The variability of actual analysis would, therefore, be expected to be greater

than shown in Table II. A similar situation and statistics could be applied to









Variability Expected in Sample Analysis as Particle Size of Copper
Sulfate and Sample Size Varies from a Uniform Mix Oontaining 1%
Copper Sulfate by Weight.


Particle Size
of
Conner Sulfate


Sample Size
before
erindine


Analysis of Sample for Copper Sulfate :
Expected Range as % CuSO),J. 10 H _
0.05 probability : 0.01 probability I s $ sI


: ;
: 0.12 c.c. : qt. 1 + .29% 1 + .38% : .18 :
S: qt. : 17 .41% 1 7 % : .209
: 1/8 qt. : 1 .58% : 1T .76% : .296

0.002 c, qt. + .13% 1 + 17% : 06 :
46 qt. 1: 7 .18% : 17 .24% .092 =
S: 1/8 qt. 1 .25% : 1 .34% : 130:

: 0.001 c.c. : qt. : 1+ .03% 1 + .04% .016
: : qt. 1 7.0% : 17 .06% .022
S1/8 qt. : 1 .06% 1 .08% .031


Particle :
Numbers :


Sample Size
before
grinding


Particle Number Range


0.05 probability


01 pro
: 0.01 probability >-


1I


a qt.
-qt.
1/8 at.


46 +
23
12


13.2
9.35
.6.62


6 +
23
12 1


17.4
12.3
8.72


.002 qt : 238 + 30 : 238 + 40
Sqt. 119 7 21 : 119 + 28
1/8 qt. : 59 15 59 20 :

001 : qt. : 130 + 126 : 4130 + 166
qt. : 2070 7 89 t 2070 7 117
1/8 qt. :1035 l 63 1035 7 83 :


TABLE II.





-7-


any of the fertilizer ingredients, copper sulfate being mentioned only for pur-

poses of illustration.

An estimate of q2 for the general case of unequal particle size is not

available. A study of sampling procedure is necessary to establish the confidence

limits on a statistical basis. Obviously the mix with large particle size of the

ingredient or ingredients containing the minor elements will be more difficult

to sample accurately than the sample whose content of minor elements was homog-

enized by pregrinding and/or pre-mixing with a portion of the mix.


Agricultural Significance

The distribution of the fertilizer mix to the land is again a problem of

sampling, because each unit length that the fertilizer is spread is equivalent

to drawing a sample from the fertilizer mix. For each rate of application, the

volume of fertilizer applied per unit distance is nearly constant. But the dis-

tribution of the ingredients of the fertilizer in this volume presents some in-

teresting possibilities. For instance, the frequency with which the ingredients

containing the minor elements occurs is proportional to two variables: (1) the

uniformity of the mix and (2) the particle size of these ingredients. If large

particles of the minor element are involved, this intermittency results in con-

ditions conducive to alternate toxicity and deficiency with respect to this in-

gredient. How big a factor is this in our crops? Is germination affected? These

answers we do not know and, indeed, it does not seem that such studies are re-

ported in the literature. Nevertheless, it may well be a factor. In Table III

is presented the particle size and the diameter of soil into which this particle

must dissolve and diffuse that a toxic situation become unlikely, e.g., one-half

toxic level.




SP


TABLE III. Effective Soil Volume and Diameter Necessary to Reduce to One Half
the Toxicity Level from a Particle of a inor Element of Different
Sizes. .

I IJ I Ii----II1


Minor Element Ingredient :

Mean : Toxicity level : Effective:
pa&tidl : as parts per : soil :
volume : million weight :
c.c. : : gn.
0.12 : 500 : 1,220
0.12 : 200 : 3,060
0.12 50 12,200

0.002 : 500 2 20
0.002 200 : 50 :
0.002 : 50 200

0.001 500 10
0.001 : 200 : 25
0.001 : 50 100


Soil taken to occupy 65 c.c. per 100
particle of minor element as 2.54.


Soil

Ratio, effective
soil volume to
particle volume

6,600
16,500
66,000

6,600
16,500
66,000

6,600
16,500
66,000


grams and specific


* S
* S


: Effective,
: diameter/pa
S inches
: 13/8

4 3 6/8

: 0.073 o:
S .18
S .73

S .037
: .09
: .37


gravity of the


soil
article





r 5/64


2
I
9
s
$


The toxicity levels given in this table are hypothetical since soil varia-

tion and availability of the minor element in the soil will not be constant.

However, where toxicity levels of one minor element are known to be some value

within the range given in the table, the role of particle size in the fertilizer

can be appreciated. These roles can be solved by suitable research on the

subject.


SOILS F.B.S.- 10/7/53 100


S

S


II I




University of Florida Home Page
© 2004 - 2010 University of Florida George A. Smathers Libraries.
All rights reserved.

Acceptable Use, Copyright, and Disclaimer Statement
Last updated October 10, 2010 - - mvs