Acta Univ. Agric. Silvic. Mendelianae Brun. 2014, 62(5), 929-937 | DOI: 10.11118/actaun201462050929

A Comparison of Result Reliability for Investigation of Milk Composition by Alternative Analytical Methods in Czech Republic

Oto Hanuš1, Jan Říha1, Eva Samková2, David Ledvina1, Gustav Chládek3, Josef Kučera3, Petr Roubal1, Radoslava Jedelská1, Jaroslav Kopecký1
1 Dairy Research Institute, Ltd., Prague, Ke Dvoru 12a, 160 00 Prague 6-Vokovice, Czech Republic
2 Faculty of Agriculture, University of South Bohemia České Budějovice, Branišovská 1, 370 05 České Budějovice, Czech Republic
3 Department of Animal Breeding, Faculty of Agronomy, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic

The milk analyse result reliability is important for assurance of foodstuff chain quality. There are more direct and indirect methods for milk composition measurement (fat (F), protein (P), lactose (L) and solids non fat (SNF) content). The goal was to evaluate some reference and routine milk analytical procedures on result basis. The direct reference analyses were: F, fat content (Röse-Gottlieb method); P, crude protein content (Kjeldahl method); L, lactose (monohydrate, polarimetric method); SNF, solids non fat (gravimetric method). F, P, L and SNF were determined also by various indirect methods: - MIR (infrared (IR) technology with optical filters), 7 instruments in 4 labs; - MIR-FT (IR spectroscopy with Fourier's transformations), 10 in 6; - ultrasonic method (UM), 3 in 1; - analysis by the blue and red box (BRB), 1 v 1. There were used 10 reference milk samples. Coefficient of determination (R2), correlation coefficient (r) and standard deviation of the mean of individual differences (MDsd, for n) were evaluated. All correlations (r; for all indirect and alternative methods and all milk components) were significant (P ≤ 0.001). MIR and MIR-FT (conventional) methods explained considerably higher proportion of the variability in reference results than the UM and BRB methods (alternative). All r average values (x minus 1.64 × sd for 95% confidence interval) can be used as standards for calibration quality evaluation (MIR, MIR-FT, UM and BRB): - for F 0.997, 0.997, 0.99 and 0.995; - for P 0.986, 0.981, 0.828 and 0.864; - for L 0.968, 0.871, 0.705 and 0.761; - for SNF 0.992, 0.993, 0.911 and 0.872. Similarly MDsd (x plus 1.64 × sd): - for F 0.071, 0.068, 0.132 and 0.101%; - for P 0.051, 0.054, 0.202 and 0.14%; - for L 0.037, 0.074, 0.113 and 0.11%; - for SNF 0.052, 0.068, 0.141 and 0.204.

Keywords: cow raw milk, milk composition, reference method, indirect method, adjustation, analytical result reliability
Grants and funding:

This research was supported by projects RO1414, MSM 6007665806 and IGA FA MENDELU TP 5/2014. Authors thank to Mr. Pavel Kopunecz, Zdeněk Motyčka, Jan Zlatníček, Miloš Klimeš and Mrs. Zdeňka Klímová and Romana Dunovská from Czech-Moravia Breeders Corporation for their kind support and technical cooperation.

Published: December 2, 2014  Show citation

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Hanuš, O., Říha, J., Samková, E., Ledvina, D., Chládek, G., Kučera, J., ... Kopecký, J. (2014). A Comparison of Result Reliability for Investigation of Milk Composition by Alternative Analytical Methods in Czech Republic. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 62(5), 929-937. doi: 10.11118/actaun201462050929
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    References

    1. BARBANO, D. 2009. Reference system and centralized calibration for milk (payment) testing. In: Proc. of 36th ICAR biennial session. Niagara Falls, USA.
    2. BAUMGARTNER, C. 2006. Reference system - Principle and practice. In: Proceeddings of the 35th biennial session of ICAR, EAAP publication No. 121, Breeding, production recording, health and the evaluation of farm animals, Kuopio, Finland. Available online: www.proagria.fi/icar2006.
    3. CASTANEDA, R. 2009. Reference system and centralized calibration for milk recording testing in Argentina. In: Proc. of 36th ICAR biennial session. Niagara Falls, USA.
    4. COVENEY, L. 2001. Milk testing proficiency scheme. In: Round 26 - November 2001. Example laboratory, Savant Technologies, 12.
    5. ČNI. 1973. Methods for testing of milk and milk products [In Czech]. CSN 57 0530 1973. Prague: Czech Normalization Institute.
    6. ČNI. 1999. Determination of milk composition by mid-infrared analyzer [In Czech]. ČSN 57 0536 1999. Prague: Czech Normalization Institute.
    7. ČNI. 2002. Milk - Determination of nitrogen content - Part 1: Method by Kjeldahl. CSN EN ISO 8968-1 (57 0528) 2002. Prague: Czech Normalization Institute.
    8. ČNI. 2005. Conformity assessment - General requirements for the competence of testing and calibration laboratories. CSN EN ISO/IEC 17025 2005. Prague: Czech Normalization Institute.
    9. ÚNMZ. 2010. Milk - Determination of fat content - Gravimetric method (Reference method). CSN EN ISO 1211 (57 0534) 2010. Prague: Czech Normalization Institute.
    10. DRIFT VAN DER, S. G. K., JORRITSMA, R., SCHONEWILLE, J. T., KNIJN, H. M. and STEGEMAN, J. A. 2012. Routine detection of hyperketonemia in dairy cows using Fourier transform infrared spectroscopy analysis of β-hydroxybutyrate and acetone in milk in combination with test-day information. J. Dairy Sci., 95(9): 4886-4898. DOI: 10.3168/jds.2011-4417 Go to original source...
    11. DUFFIELD, T. 2000. Subclinical ketosis in lactating dairy cattle. Vet. Clin. North Am. Food Anim. Pract., 16: 231-253. DOI: 10.1016/S0749-0720(15)30103-1 Go to original source...
    12. DUFFIELD, T. F., LISSEMORE, K. D., MC BRIDE, B. W. and LESLIE, K. E. 2009. Impact of hyperketonemia in early lactation dairy cows on health and production. J. Dairy Sci., 92: 571-580. DOI: 10.3168/jds.2008-1507 Go to original source...
    13. GEISHAUSER, T., LESLIE, K. E., DUFFIELD, T. and EDGE, V. 1997. Fat/protein ratio in first DHI tets milk as test for displaced abomasum in dairy cows. Zbl. Vet. Med., A 44(5): 265-270. DOI: 10.1111/j.1439-0442.1997.tb01110.x Go to original source...
    14. GOLC TEGER, S. 1997. Slovenia in the European network of dairy laboratories. In: 5th International Symposium "Animal Science Days", Agriculturae Conspectus Scientificus. Opatija, 62: 37-40.
    15. GOLC TEGER, S. 1996. Zagotavljanje kakovosti analiz v mlekarskih laboratorijih = Analytical quality assurance in dairy laboratories. In: 1. slovenski mednarodni kongres Mleko in mlečni izdelki, Zbornik Biotehniške fakultete Univerze v Ljubljani. Portorož, Slovenija, 279-283.
    16. GRAPPIN, R. 1993. European network of dairy laboratories. In: Proceedings of an International Analytical Quality Assurance and Good Laboratory Practice in Dairy Laboratories. Sonthofen/Germany, 1992-05-18/20. Brussels, 205-211.
    17. GRAPPIN, R. 1987. Definition and evaluation of the overall accuracy of indirect methods of milk analysis - aplication to calibration procedure and quality control in dairy laboratory. Bulletin of the International Dairy Federation, Doc. 208, IDF Provisional Standard 128: 3-12.
    18. HANUŠ, O., GENČUROVÁ, V., JANŮ, L. and JEDELSKÁ, R. 2007. A framework performance of main elements of QA system of chemical and physical methods in reference and routine laboratories for raw milk quality analyses in the CR [In Czech]. In: 2 THETA Analytical standards and equipment. Komorní Lhotka, 33-50.
    19. HANUŠ, O., GENČUROVÁ, V., LANDOVÁ, H., JEDELSKÁ, R., KOPECKÝ, J. and DOLÍNKOVÁ, A. 2011a: Spectrum enlargement at central calibration and proficiency testing by National reference laboratory for raw milk in Rapotín [In Czech]. Výzkum v chovu skotu/Cattle Research, LIII, 193(1): 60-71.
    20. HANUŠ, O., GENČUROVÁ, V., ŘÍHA, J., VYLETĚLOVÁ, M., JEDELSKÁ, R., KOPECKÝ, J. and DOLÍNKOVÁ, A. 2008. Specificity of reference materials and results proficiency testing in basic milk analyses [In Czech]. In: Reference materials and interlaboratory investigation comparison III. 2 THETA Analytical standards and equipment. Medlov: 53-78.
    21. HANUŠ, O., VYLETĚLOVÁ KLIMEŠOVÁ, M., CHLÁDEK, G., ROUBAL, P. and SEYDLOVÁ, R. 2013. Metaanalysis of ketosis milk indicators in terms of their threshold estimation. Acta Univ. Agric. Silvic. Mendelianae Brun., LXI(6): 1681-1692. DOI: 10.11118/actaun201361061681 Go to original source...
    22. HANUŠ, O., VYLETĚLOVÁ, M., TOMÁŠKA, M., SAMKOVÁ, E., GENČUROVÁ, V., JEDELSKÁ, R. and KOPECKÝ, J. 2011b. The effects of sample fat value manipulation on raw cow milk composition and indicators. Acta Univ. Agric. Silvic. Mendelianae Brun., LIX(1): 101-112. DOI: 10.11118/actaun201159010101 Go to original source...
    23. HANUŠ, O., ŽVÁČKOVÁ, I., GENČUROVÁ, V. and GABRIEL, B. 1992. A relationship between milk lactose content and indicators of the mammary gland health in the first third of lactation [In Czech]. Veterinární Medicína (Praha), 37(11): 595-604.
    24. ISHAY, E., LEMBERSKIY KUZIN, L., KATZ, G., PINSKY, N. 2011. Calibration, monitoring and control approach for multi-devices system performing analysis in rough environment. Available online: http://www.icar.org/Documents/Bourg-en-Bresse2011/Presentations/session%204%20-%2023%20am/3%20Lembersky%20Kusini.pdf.
    25. JANKOVSKÁ, R. and ŠUSTOVÁ, K. 2003. Analysis of cow milk by near-infrared spectroscopy. Czech J. Food Sci., 21(4): 123-128. DOI: 10.17221/3488-CJFS Go to original source...
    26. KARP, H. J. and PETERSSON WOLFE, C. 2010. Use of milk lactose concentration as an indicator of mastitis following the validation of a novel in-line milk analysis system designed to measure milk components. The first North American conference on precision dairy management, 1-2.
    27. KATZ, G. 2007. AfiLab™ - Milk Analyzer: Real Time Measuring of Milk Components. Available online: http://www.icar.org/Documents/Verona_Presentations/SAE_Afikim_Katz.pdf
    28. KUKAČKOVÁ, O., ČURDA, L. and JINDŘICH, J. 2000. Multivariate calibration of raw cow milk using NIR spectroscopy. Czech J. Food Sci., 18(1): 1-4.
    29. LACTOSTAR. 2005. Analyzer of milk components. In: Operation manual 3510. Bentley Czech, 1-32.
    30. LERAY, O. 2009a. ICAR AQA strategy - International anchorage and harmonisation. In: Proc. of 36th ICAR biennial session. Niagara Falls, USA, 295-300.
    31. LERAY, O. 2009b. Interlaboratory reference system and centralised calibration - Prerequisites and standard procedures. In: Proc. of 36th ICAR biennial session. Niagara Falls, USA.
    32. LERAY, O. 2010. Analytical precision performance in ICAR proficiency testing programmes. In: ICAR 37th Annual Meeting. Riga, Latvia.
    33. PERLÍN, C. 2003. Ultrazvukový analyzátor mléka. Ultrasonic milk analyzer. Agronavigátor UZEI, 15557. Available online: http://www.agronavigator.cz/default.asp?ch=15&typ=1&val=15557&ids=199.
    34. PYORÄLÄ, S. 2003. Indicators of inflammation in the diagnosis of mastitis. Vet. Res., 34: 565. DOI: 10.1051/vetres:2003026 Go to original source...
    35. SIEBERT, F. and PALLAUF, J. 2010. Analyse von Ergebnissen der Milchleistungsprüfung in Hessen im Hinblick auf ein Ketoserisiko. Züchtungskunde, 82: 112-122.
    36. SJAUNJA, L. O. 1984. Studies on milk analysis of individual cow milk samples II: Factors affecting milk analyses by infrared technique under laboratory conditions. Acta Agric. Scand., 34: 260-272. DOI: 10.1080/00015128409435395 Go to original source...
    37. SJAUNJA, L. O., PHILIPSSON, J., LUNDSTRÖM, K. and SWENSSON, CH. 1984. Studies on milk analysis of individual cow milk samples IV: Factors affecting milk analyses in a routine system by automated apparatuses. Acta Agric. Scand., 34: 286-299. DOI: 10.1080/00015128409435397 Go to original source...
    38. SJAUNJA, L. O. and ANDERSSON, I. 1985. Laboratory experiments with a new infrared (IR) milk analyzer, the Milko-Scan 605. Acta Agric. Scand., 35: 345-352. DOI: 10.1080/00015128509442045 Go to original source...
    39. STEEN, A., OSTERAS, O. and GRONSTOL, H. 1996. Evaluation of additional acetone and urea analyses, and of the fat-lactose-quotient in cow milk samples in the herd recording system in Norway. J. Vet. Med., A 43: 181-191. DOI: 10.1111/j.1439-0442.1996.tb00443.x Go to original source...
    40. ŠUSTOVÁ, K., RŮŽIČKOVÁ, J. and KUCHTÍK, J. 2007. Application of FT near spectroscopy for determination of true protein and casein in milk. Czech J. Anim. Sci., 52(9): 284-291. DOI: 10.17221/2264-CJAS Go to original source...
    41. WOOD, R., NILSSON, A. and WALLIN, H. 1998. Role of proficiency testing in the assessment of laboratory quality. In: Quality in the food analysis laboratory. The Royal Society of Chemistry. Cambridge, UK. Go to original source...

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