Short-wave near-infrared spectroscopy of milk powder for brand identification and component analysis

Journal of Dairy Science

Volumn 91, Issue 3, 2008, Pages 939-949

  Wu, D ^a   Feng, S ^a   He, Y ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Component analysis; Milk powder; Short wave near infrared spectroscopy; Support vector machine

Indexed keywords

FAT; LACTOSE; MILK PROTEIN; SUCROSE;

ANIMAL; ARTICLE; ARTIFICIAL MILK; CHEMISTRY; CLASSIFICATION; FOOD PRESERVATION; HUMAN; MILK; NEAR INFRARED SPECTROSCOPY;

ANIMALS; FATS; FOOD PRESERVATION; HUMANS; INFANT FORMULA; LACTOSE; MILK; MILK PROTEINS; SPECTROSCOPY, NEAR-INFRARED; SUCROSE;

EID: 40649123038     PISSN: 00220302     EISSN: 15253198     Source Type: Journal    
DOI: 10.3168/jds.2007-0640     Document Type: Article

References (24)

1. AOAC. 1984. Official Methods of Analysis. S. Williams, ed. AOAC, Arlington, VA.
2. Barabássy, S. 2001. The application of near infrared spectroscopy (NIR) technique for non-destructive investigation of mixed milk powder products. Mljekarstvo 51:263-272.
3. Barnes, R., M. Dhanoa, and J. Lister. 1989. Standard normal variate transformation and detrending of near infrared diffuse reflectance spectra. Appl. Spectrosc. 43:772-777.
4. Bittner, A., R. Marbach, and H. M. Heise. 1995. Multivariate calibration for protein, cholesterol and triglycerides in human plasma using short-wave near infrared spectrometry. J. Mol. Struct. 349:341-344.
5. Borin, A., M. F. Ferrao, C. Mello, D. A. Maretto, and R. J. Poppi. 2006. Least-squares support vector machines and near infrared spectroscopy for quantification of common adulterants in powdered milk. Anal. Chim. Acta 579:25-32.
6. Brás, L. P., S. A. Bernardino, J. A. Lopes, and J. C. Menezes. 2005. Multiblock PLS as an approach to compare and combine NIR and MIR spectra in calibrations of soybean flour. Chemom. Intell. Lab. Syst. 75:91-99.
7. Chen, Y. J., C. Iyo, and S. Kawano. 1999. Development of calibration with sample cell compensation for determining the fat content of unhomogenised raw milk by a simple near infrared transmittance method. J. Near Infrared Spectrosc. 7:265-273.
8. He, Y., D. Wu, and S. Feng. 2007. Fast measurement of sugar content of yogurt using Vis/NIR-spectroscopy. Int. J. Food Prop. 10:1-7.
9. Hyvärinen, A., and E. Oja. 1997. A fast fixed-point algorithm for independent component analysis. Neural Comput. 9:1483-1492.
10. Hyvärinen, A., and E. Oja. 2000. Independent component analysis: Algorithms and applications. Neural Netw. 13:411-430.
11. Li, J. Z., H. X. Liu, X. J. Yao, M. C. Liu, Z. D. Hu, and B. T. Fan. 2007. Structure-activity relationship study of oxindole-based inhibitors of cyclin-dependent kinases based on least-squares support vector machines. Anal. Chim. Acta 581:333-342.
12. Osborne, B. G., and T. Fearn. 1986. Near Infrared Spectroscopy in Food Analysis. Longman Scientific and Technical, Essex, UK.
13. Reeves, J. B., III. 1994. Effects of water on the spectra of model compounds. J. Near Infrared Spectrosc. 2:199-212.
14. Reid, L. M., T. Woodcock, C. P. O'Donnell, J. D. Kelly, and G. Downey. 2005. Differentiation of apple juice samples on the basis of heat treatment and variety using chemometric analysis of MIR and NIR data. Food Res. Int. 38:1109-1115.
15. Sasic, S., and Y. Ozaki. 2001. Short-wave near-infrared spectroscopy of biological fluids. 1. Quantitative analysis of fat, protein, and lactose in raw milk by partial least-squares regression and band assignment. Anal. Chem. 73:64-71.
16. Singer, A. 2006. Spectral independent component analysis. Appl. Comput. Harmon. Anal. 21:135-144.
17. Subedi, P. P., K. B. Walsh, and G. Owens. 2007. Prediction of mango eating quality at harvest using short-wave near infrared spectrometry. Postharvest Biol. Technol. 43:326-334.
18. Suykens, J. A. K., and J. Vanderwalle. 1999. Least squares support vector machine classifiers. Neural Process. Lett. 9:293-300.
19. Suykens, J. A. K., T. Van Gestel, J. De Brabanter, B. De Moor, and J. Vandewalle. 2002. Least Squares Support Vector Machines. World Scientific Publishing, Singapore.
20. Tsenkova, R., S. Atanassova, K. Toyoda, Y. Ozaki, K. Itoh, and T. Fearn. 1999. Near-infrared spectroscopy for dairy management: Measurement of unhomogenized milk composition. J. Dairy Sci. 82:2344-2351.
21. Vapnik, V. 1998. Statistical Learning Theory. John Wiley and Sons Inc., New York, NY.
22. Williams, P., and K. Norris. 2001. Near-infrared Technology in the Agricultural and Food Industries. 2nd ed. Am. Assoc. Cereal Chem., St. Paul, MN.
23. Wu, D., S. Feng, and Y. He. 2007. Infrared spectroscopy technique for the nondestructive measurement of fat content in milk powder. J. Dairy Sci. 90:3613-3619.
24. Wu, D., Y. He, S. Feng, and D.-W. Sun. 2008. Study on infrared spectroscopy technique for fast measurement of protein content in milk powder based on LS-SVM. J. Food Eng. 84:124-131.