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78 METHODS OF SAMPLING VARIOUS MZA.T INGREDIENTS WITH RESPECT TO ACCURACY, PRECISION AND L IMI TA.TIONS OF RA.PI0 MZTHODS TO DETZRMINE MOISTURE, FA.T AND PROTEIN W. A. LANDHANN” TEXAS A & M UNIVERSITY COLLEGE STATION, TEXAS .................................................................. In the processing of meat for sausage manufacture one of the chief problems has always been obtaining an accurate analysis of the raw ingredi- ents so that the composition and quality of the final product may be assured. Modern packing house practices include extensive quality control which has resulted in uniform, reliable products for the customer, and, hopefully, more economical utilization of ingredients. Good quality control requires a knowledge of sampling procedures and rapid methods of analysis which give accurate results, particularly since meat is so heterogeneous in composition. Poor sampling practices will give results which are just as useless or unreliable as those obtained by inaccurate methods of analysis. selves are often inaccurate because the analyst confuses precision with ac- curacy. *nY methods may be precise, and still be inaccurate. That is, an analyst will be able to repeat his results quite closely, but these results will not be the actual true value for the amount of the substance being determined. collaborative studies show the need for revision or replacement. As will be shown later, the methods them- Hence, some of the old “stand-by” methods, when examined by Just as important is a study of sampling procedures, which should Perhaps more often than be done before deciding on a particular procedure. one would care to think, this step of the quality control process is entire- l y neglected. What is the ideal situation for accurate quality control? It would be, I think, a simple procedure for sampling (preferably from a homogeneous l o t of material), coupled with a rapid method of analysis re- quiring only a few minutes to complete, thus avoiding shut-down or delay on the processing line. be included in the specifications. At present, none of the procedures commonly used can qualify in all respects, and it is doubtful if any ever will meet all the conditions of ideality. A non-destructive type of analysis should perhaps also Let us examine some of the sampling procedures used for meat trimmings, or meat ingredients. Several standardized sampling procedures ‘Professor, Meats Chemistry, Animal Science Department, Texas A&M Uni- versity. College Station, Texas. Paper read by R. L. Hostetler.

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Page 1: Methods of Sampling Various Meat Ingredients with Respect

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M E T H O D S OF S A M P L I N G V A R I O U S MZA.T I N G R E D I E N T S W I T H R E S P E C T TO A C C U R A C Y , P R E C I S I O N AND L I M I T A . T I O N S

OF R A . P I 0 M Z T H O D S TO D E T Z R M I N E M O I S T U R E , FA.T AND P R O T E I N

W . A . LANDHANN”

T E X A S A & M U N I V E R S I T Y

C O L L E G E S T A T I O N , T E X A S . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

In the processing of meat f o r sausage manufacture one of the chief problems has always been obtaining an accurate analysis of the r a w ingredi- en t s so tha t t he composition and qua l i ty of the f i n a l product may be assured. Modern packing house pract ices include extensive qua l i ty control which has resu l ted i n uniform, r e l i ab le products f o r the customer, and, hopefully, more economical u t i l i z a t i o n of ingredients.

Good qua l i ty control requires a knowledge of sampling procedures and rapid methods of analysis which give accurate r e su l t s , pa r t i cu la r ly s ince meat i s so heterogeneous i n composition. Poor sampling prac t ices w i l l give r e s u l t s which are j u s t as useless o r unrel iable as those obtained by inaccurate methods of ana lys i s . selves are of ten inaccurate because the analyst confuses precision with ac- curacy. *nY methods may be precise, and s t i l l be inaccurate. That is, an ana lys t w i l l be able t o repeat h i s r e s u l t s qu i t e closely, but these r e su l t s w i l l not be the ac tua l t r u e value f o r t h e amount of the substance being determined. col laborat ive s tud ies show the need f o r revision o r replacement.

A s w i l l be shown later, the methods them-

Hence, some of the o ld “stand-by” methods, when examined by

J u s t as important is a study of sampling procedures, which should Perhaps more of ten than be done before deciding on a pa r t i cu la r procedure.

one would care t o think, t h i s s t e p of the qua l i ty control process i s en t i re - l y neglected.

What i s the ideal s i t ua t ion f o r accurate qua l i ty control? It would be, I think, a simple procedure f o r sampling (preferably from a homogeneous l o t of material), coupled w i t h a rapid method of analysis re- quir ing only a f e w minutes t o complete, thus avoiding shut-down o r delay on t h e processing l i n e . be included i n the spec i f ica t ions . A t present, none of the procedures commonly used can qual i fy i n a l l respects, and it i s doubtful if any ever w i l l meet a l l t he conditions of i dea l i t y .

A non-destructive type of analysis should perhaps also

L e t us examine some of t he sampling procedures used f o r meat trimmings, or meat ingredients. Several standardized sampling procedures

‘Professor, Meats Chemistry, Animal Science Department, Texas A&M Uni- ve r s i ty . College Stat ion, Texas. Paper read by R. L. Hostetler.

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79.

f o r meat a r e published i n the Of f i c i a l Methods --- of the AOAC' and i n Labora- - t o ry Methods --- of the Meat Industry'. These sampling procedures cons is t of grinding the e n t i r e sample through a p l a t e containing holes l/S'' i n diam- e t e r , by means of an e l e c t r i c gr inder f i t t e d with a device f o r halving the sample. One half t he sample i s then thoroughly mixed and re-ground, again dividing the sample i n h a l f . "he process is repeated u n t i l a convenient s i z e sample (4-16 02.) is obtained, which is placed i n closed j a r s and re f r igera ted u n t i l analyzed. The e n t i r e procedure is carr ied out i n the cold t o minimize evaporative losses of moisture.

While t h i s process is f eas ib l e f o r samples of moderate s i ze , it

For ex- becomes qu i t e d i f f i c u l t t o sample l o t s of 500 lbs . o r more i n t h i s manner. How does one then obtain an adequate o r "representative" sample? ample, 500 l b . tubs of pork trimmings may be sampled by taking 2"-cores a t random throughout the tub. The minimum number of such cores should be nine t o g e t a s t a t i s t i c a l l y j u s t i f i a b l e estimate of the ac tua l mean value of the composition of the contents of the tub. If the process is such t h a t t he t r i m i n g s can be minced before sampling, it would be preferable t o re- move small samples a t random f r o m t i m e t o time from the moving stream of minced mixture. Frozen meat, usually packed i n 1CO l b . boxes can be sampled i n a similar way by taking 6 d r i l l i n g s a t random from each box. In a re f r igera ted railway car, boxes can be sampled by removing the neces- sary number a t random while they are being unloaded. Each box may then be sampled by d r i l l i n g s .

Any procedure such a s t h i s should be checked t o see i f adequate sampling is being obtained. r ep l i ca t e samplings, and comparing the r e s u l t s by means of a hierarchal o r nested design, which may be found i n any book on s t a t i s t i c s . give information a s t o the source of e r ror , and a l so w i l l indicate whether the number of boxes, the number of samples wi th in boxes, o r number of analyses must be increased t o achieve maximum accuracy. Once t h i s i s done, it is usual ly not necessary t o repeat such a study unless d i f f i c u l t y is again encountered.

This can be simply done by making several

Th i s w i l l

An i n t e re s t ing approach t o the accurate analysis of the percent f a t i n 500 lbs . of trimmings has been suggested by H. 0. H a r t l e ~ . ~ contents of the tub a re spread out on a t ab le and separated by eye- estimate in to three groups - high fat , medium fat , and low f a t . Each group is weighed t o determine the t o t a l bulk weight i n each "stratum." Three samples from each group a r e chosen a t random, mixed together, and the f a t determined f o r each group.

The

The t o t a l weight of fa t i n each stratum

'Official Methods of Analysis - A.O.A.C., Ninth Edition, Association of

'Laboratory Methods of the Meat Industry.

'Hartley, H. 0. - Personal Communication.

Of f i c i a l Agricul tural Chemists, Washington, D. C ., 1960. American Meat I n s t i t u t e ,

Chicago, 1957.

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is calculated, and the values f o r a l l s t r a t a a r e sumed. f a t i n the t o t a l sample (sum of bulk weights of the groups) can be de- termined. The variance of the determination i s of the order of 2% and the accuracy achieved through the sum of the weighted means i s considerably bet- t e r than with non-s t ra t i f ied sampling methods. However, somewhat more ef- f o r t and time a r e required t o carry out such a procedure.

Thus the per cent

In summary, whi le many and varied sampling techniques a r e t o be found, any which a r e used should be adequately t e s t ed t o be sure they a r e r e l i a b l e and t h a t they provide representat ive samples. The r e s u l t s of such a study, properly car r ied out , w i l l save time and money i n reducing t o a minimum the number of samples t o be analyzed f o r rout ine qua l i ty control .

Now what about rapid methods and t h e i r l imi ta t ions? Meat proces- sors a r e in te res ted primarily i n the moisture, f a t , and pro te in content of t h e i r raw mater ia ls and f in i shed products. mind a r e f inding more o r less general use. rad ia t ion f o r moisture, Babcock-type o r conductivity analyses f o r f a t , and dye-binding methods f o r proteins give sa t i s f ac to ry r e su l t s , but usua l ly must be correlated with standard methods by means of regression curves.

Several methods which come to Ealances employing infra-red

The Cotlove chloride analyzer, o r a recent potentiometric t i t r a t i o n method4 have been shown t o give excel lent r e s u l t s f o r s a l t . A l l of these serve t h e i r purpose i n rapid qua l i ty control , but have not been studied c r i t i c a l l y enough t o e s t ab l i sh them as standard methods.

In making comparisons of rapid methods with standard methods, it should be rea l ized t h a t standard o f f i c i a l methods have many short-comings, and a re subject t o many of the same l imi ta t ions a s the newer rapid methods. One of the d i f f i c u l t i e s i n comparing r e s u l t s of a new method with a standard method is t h a t t he inherent e r rors of the standard method a re not c l ea r ly known. The AOAC has had f o r a number of years a continuing pro- gram of col laborat ive s tud ies of methods t o obtain t h i s information and i s continually revis ing i ts o f f i c i a l methods as r e s u l t s of these s tudies become avai lable . The American k a t I n s t i t u t e Foundation has a l so con- ducted a similar study of meat methods, with s i x t y laborator ies p a r t i c i - pating.

Results of these method s tudies have been qu i t e informative, espec ia l ly when examined by a technique described by Youden5, 6 , 7. the r e su l t s a r e p lo t ted on a two-dimensional s c a t t e r diagram, where the X-axis and Y - a x i s have the same sca le .

Briefly,

The values ( s ing le determinations)

4Krzeminski, L. F., Bartal , A. and Landmann, W. A., J. Food Science, 30,

%ouden, W. J., Anal. Chem., - 32, 23A (1960).

‘Youden, W. J . , And. Qual i ty Control, 15, - 24 (1959).

52 (1965).

7Youden, W. J., J. O f f . Agr. Chem., I 45, 169 (1962).

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81.

from two d i f f e ren t sau.iples of s imilar mater ia ls are p lo t t ed f o r each laboratory, X being the r e s u l t of t h e f i rs t determination and Y t h a t of t h e second. The consensus of a l l values i s considered t h e t r u e value and through t h i s point t h e diagram i s divided i n t o four quadrants. The bias-free estimate of t h e standard deviation of a l l po in ts i s calculated and two c i r c l e s a re drawn, using the concensus point a s t h e centroid. The smaller c i r c l e has a radius of 1.17s, and the la rger , 2.45s. Accord- ing t o p robab i l i t i e s based on c i r cu la r normal d is t r ibu t ion , 95% of the poin ts should l i e within the l a rge r c i r c l e and c lus t e r around the centroid. pe r s i s t en t b ias , t h e poin ts would l i e along a 45O l i n e through the centroid, and i n the upper r i g h t and lower l e f t quadrants. s u l t s (high for one sample, low for another) would place t h e points i n t h e upper l e f t and lower r i g h t quadrants. these Youden p l o t s t o some method s tudies a r e shown i n the following s l ides .

If per fec t precis ion exis ted, but i f each laboratory had

B r a t i c re-

Examples of t h e appl icat ion of

Slide 1 - Moisture Determination. The r e s u l t s show individual laboratory bias, and some serious e r r a t i c r e s u l t s . pr imari ly from f a i l u r e t o follow the drying conditions exactly. temperatures and t i m e of heating were of ten not the same for t h e two samples, and were the primary causes of the e r r a t i c r e su l t s .

The bias arose here Oven

Slide 2 - Protein Determination. (AOAC) This "old f a i t h f u l , " t h e Kjeldahl nitrogen method, shows 30% of the labora tor ies outside the c i r c l e which should contain 95% of the poin ts . only s l i g h t l y improved when spec i f ic d i rec t ions were given regarding length of t i m e of digestion, amount and kind of ca t a lys t . deviations from the prescribed method, some of which a re not consis tent within a laboratory, a r e indicated here.

This d i s t r ibu t ion was

Serious

Slide 3 - Fat . This diagram shows r e s u l t s of more than one method, and some of t h e b i a s (points c lose t o the 45' l i n e ) i s due t o the method difference. However, a l l methods appear t o give cornparable r e s u l t s , since the methods were not s ign i f icant ly d i f f e ren t . The f a u l t again i s pr imari ly the individual b i a s .

Slide 4.- S a l t . The method appears t o 'ce sa t i s fac tory , although These labora tor ies were asked t o check t h e i r pro-

The c lus t e r s of po in ts occur because values were rounded off when some r e s u l t s show bias. cedures. reported.

Slide 5 - N i t r i t e . The c l a s s i c example of a thoroughly un- sa t i s f ac to ry method subject t o errors due t o individual handling and treatment of sample, as w e l l as t o individual bias.

I n closing, these s tudies show convincingly t h a t t he most serious l imi t a t ion of a l l rethods i s the des i re of the analyst t o be a non-conform- ing c rea t ive individual. The point I wish t o make, however, i s simply t h a t i n using any method - rap id o r standard - one mst be constant ly aware of t he var ia t ions which e x i s t . To keep these differences t o a minimum, it

Page 5: Methods of Sampling Various Meat Ingredients with Respect

82.

i s extremely important t o use a re l iab le , t es ted sampling procedure and t o follow the specified direct ions of the ana ly t ica l method a s exactly a s possible. samples, would seem t o be i n order.

Frequent checks on laboratory procedures, using known

ow

k.0 55.0 55.2 55.4 55.6 55.8 56.0 56.2 56.b 56.6 56.8 57.0 57.2 57.4 57.6 57.0 ' ' 1 ' ' 1 1 ' ' ' '

Slide 1

Results of moisture determina- t i on on two samples of a l l meat sausage, using AOAC method 23.003 (a) . Inner c i r c l e 1.17 std. dev., outer c i r c l e 2.45 s t d . dev .

! Slide 2

Protein determination on two samples of a l l meat sausage, ac- cording t o method AMI-A4a54, a Ueldahl procedure specifying HgO as ca ta lys t , as in AOAC method 2.036.

Page 6: Methods of Sampling Various Meat Ingredients with Respect

Slide 3

Y.2

91.8

51.2

* 31.0

! W e e -

" !! 302-

t i 29.0-

p a b - "

a.0

dJ-

a-

m.04

Fat determination on two samples of all meat sausage. Methods indicated in text.

- - -

- 0 .

-

' ' ' a . 8 25.2 25.6 S.0 26.b 26.8 27.2 27.6 28.0 28.6 a.8 29.2 29.6 9 .0 9.4

5.5

3.b

3.5

3.2

- - - -

1 Y.l 3 3.0

3 3 z-9

p 2.8

2.7

2.6

2.9

2.6

83.

-

- - - - -

I ' , , I

Salt determination on two samples of all meat sausage, using method AMI-A6a54.

n

.*I

f ' , t I I I I I 6 2.7 2.8 2.9 3.0 3.1 Y.2 3.3 3.4

P r C a t U t ia 4 1 . b

Slide 5

Results of determinations of sodium nitrite on two samples of all meat sausage. Range of 1.17 std. dev. shown by circle is much too large for a reliable method.

z ..

I"

I" a t *

Page 7: Methods of Sampling Various Meat Ingredients with Respect

84.

I n closing, these studies show convincingly t h a t the most serious l imi ta t ion of a l l methods i s the des i re of the analyst t o be a non-conforming creat ive individual. The point I wish t o make, however, i s simply tha t i n using any method - rapid or standard - one mst be constantly aware of the var ia t ions which exis t . To keep these differences t o a mini- mum, it i s extremely important t o use a re l iab le , t e s t ed sampling procedure and t o follow the specified direct ions of the ana ly t ica l method a s ex- a c t l y a s possible. Frequent checks on laboratory procedures, using known s q l e s , would seem t o be i n order.

DR. ROBERT SAFFLE: Thank you, Bob. We appreciate the presenta- t i o n of D r . Landmann's on the methods and some of the l imi ta t ions which we might expect. considerably more research work. Cur t h i r d speaker has been with us a t l e a s t once and I believe two times. George Brissey graduated from U.C.L.A. with an A.B. i n Fhilosophy and Chemistry i n 1933; he then joined S w i f t & Company i n t h e i r Control Laboratory; he 's been with Swift ever since except f o r a short s t i n t with Uncle Sam. He was t ransferred t o the R & D Center i n Chicago in 1944 and f o r several years, he w a s Associate Director of Research, coordinating the Neat Research a c t i v i t y f o r Swift & Company. Since 1963, he has been Assistant General Ifanager of the Qual i ty Assurance Department i n the General Office of Swift & Coxripany i n Chicago. which he w i l l cover i s the "Specific Needs f o r Research Related t o S t a t i s t i c a l Control i n Yanufacturing and Nhrketing Processed Neats". agreement, i n se t t ing up the program, he decided t o take a specif ic method concerned with M.I.D. t o shcw how s t a t i s t i c control was used i n working out a specif ic nethod.

It ce r t a in ly points out an area t h a t needs

The area

By