Multivariate near-infrared reflection spectroscopy strategies for ensuring correct labeling at feed bagging in the animal feed industry

Applied Spectroscopy

Volumn 64, Issue 1, 2010, Pages 83-91

  Fernandez Ahumada E ^a,b   Roger, J M ^b   Palagos, B ^b   Guerrero, J E ^a   Perezmarin D ^a   Garrido Varo, A ^a  

^a UNIVERSITY OF CÓRDOBA   (Spain)

^b CEMAGREF   (France)

Author keywords

Animal feedstuffs; Compound feeds; Labeling control; LDA; Linear discriminant analysis; Multivariate classification; Near infrared reflection spectroscopy; NIRS; Partial least squares; PLS; SIMCA; Soft independent modeling of class analogy; Support vector machines; SVM

Indexed keywords

ANIMALS; CLASSIFICATION (OF INFORMATION); COMMERCE; DISCRIMINANT ANALYSIS; ELECTROMAGNETIC WAVE REFLECTION; INFRARED DEVICES; MULTIVARIANT ANALYSIS; NEAR INFRARED SPECTROSCOPY; SUPPORT VECTOR MACHINES;

FEEDSTUFFS; LINEAR DISCRIMINANT ANALYSIS; MULTIVARIATE CLASSIFICATION; NEAR-INFRARED REFLECTION SPECTROSCOPIES; NIRS; PARTIAL LEAST SQUARE (PLS); SIMCA; SOFT INDEPENDENT MODELING OF CLASS ANALOGIES;

LEAST SQUARES APPROXIMATIONS;

EID: 77649211559     PISSN: 00037028     EISSN: None     Source Type: Journal    
DOI: 10.1366/000370210790572115     Document Type: Article

References (29)

1. White Book on Food Safety, 12/01/2000 (Commission of the European Communities (COM), Brussels, 1999), 719 final.
2. "Federation Europeenne des Fabricants d'Aliments Composes pour animaux (FEFAC). Feed Safety Management System", in European Feed Manufacturers Guide (EFMC) (Brussels, Belgium, 2007), version 1.0.
3. A. Garrido, "La spectroscopie proche infrarouge: une technologie d'appui pour un service intégral en alimentation animale", in La spectroscopie infrarouge et ses applications analytiques, D. Bertrand and E. Dufour, Eds. (TEC & DOC, Paris, France, 2006), 2nd ed., p. 473.
4. P. C. Williams, "Implementation of Near-Infrared Technology", in Near Infrared Technology in the Agricultural and Food Industries, P. Williams and K. Norris, Eds. (American Association of Cereal Chemists, St. Paul, MN, EE.UU, 2001), 2nd ed., p. 145.
5. E. Fernández-Ahumada, A. Garrido-Varo, and J. E. Guerrero-Ginel, J. Agric. Food. Chem. 56, 3185 (2008).
6. E. Fernández-Ahumada, J. E. Guerrero-Ginel, D. Pérez-Mann, and A. Garrido-Varo, J. Near Infrared Spectrosc. 16, 285 (2008).
7. M. Tigabu and P. C. Odén, Seed Sci. Technol. 32, 593 (2004).
8. M. Sohn, D. S. Himmelsbach, S. E. Kays, D. D. Archibald, and F. E. Barton II, Cereal Chem. 82, 661 (2005).
9. D. Cozzolino, A. Vadell, F. Ballesteros, G. Galietta, and N. Barlocco, Anal. Bioanal. Chem. 385, 931 (2006).
10. L. Xie, Y. Ying, and T. Ying, J. Food Eng. 82, 395 (2007).
11. T. Woodcock, G. Downey, J. D. Kelly, and C. O'Donnell, J. Agrie. Food. Chem. 55, 9128 (2007).
12. L. Liu, D. Cozzolino, W. U. Cynkar, R. G. Dambergs, L. Janik, B. K. O'Neill, C. B. Colby, and M. Gishen, Food Chem. 106, 781 (2008).
13. I. Murray, L. S. Aucott, and H. I. Pike, J. Near Infrared Spectrosc. 9, 297 (2001).
14. D. C. Peìrez-Marín, A. Garrido-Varo, and J. E. Guerrero, Appl. Spectrosc. 60, 1432 (2006).
15. J. A. Fernańdez Pierna, V. Baeten, A. M. Renier, R. P. Cogdill, and P. Dardenne, J. Chemom. 18, 341 (2004).
16. J. A. Fernańdez Pierna, V. Baeten, and P. Dardenne, Chemom. Intell. Lab. Syst. 84, 114 (2006).
17. M. J. de la Haba, J. A. Fernández Pierna, O. Fumière, A. Garrido-Varo, J. E. Guerrero, D. C Pérez-Marín, P. Dardenne, and V. Baeten, J. Near Infrared Spectrosc. 15, 81 (2007).
18. B. M. Wise, N. B. Gallagher, R. Bro, J. M. Shaver, W. Windig, and R. S. Koch, PLS Toolbox Reference Manual (Eigenvector Research, WA, 2004).
19. M. Barker and W. Rayens, J. Chemom. 17, 166 (2003).
20. C.-W. Hsu, C.-C. Chang, and C.-J. Lin, A Practical Guide to Support Vector Classification (available at http://www.csie.ntu.edu.tw/-cjlin.last updated March 12, 2008).
21. T. Naes, T. Isaksson, T. Fearn, and T. Davies, A User Friendly Guide to Multivariate Calibration and Classification (NIR Publications, Chichester, West Sussex, UK, 2002), p. 107.
22. R. J. Barnes, M. S. Dhanoa, and S. J. Lister, Appl. Spectrosc. 43, 772 (1989).
23. C.-C. Chang and C.-J. Lin, LIBSVM: A Library for Support Vector Machines (Software available at http://www.csie.ntu.edu.tw/-cjlin/libsvm, 2001).
24. D. Pérez-Marín, A. Garrido-Varo, J. E. Guerrero, and J. C. Gutiérrez, Appl. Spectrosc. 60, 1062 (2006).
25. E. Fernández-Ahumada, T. Fearn, A. Gómez, P. Vallesquino, J. E. Guerrero, D. Pérez-Marín, and A. Garrido-Varo, Meas. Sci. Technol. 19, 085601 (2008).
26. D. Pérez-Marín, A. Garrido-Varo, J. E. Guerrero, and A. Gómez-Cabrera, Anim. Feed Sci. Technol. 116, 333 (2004).
27. D. Pérez-Marín, A. Garrido-Varo, J. E. Guerrero, and A. Gómez, Appl. Spectrosc. 59, 69 (2005).
28. B. G. Osborne, T. Fearn, and P. H. Hindle, Practical Near Infrared Spectroscopy with Applications in Food and Beverage Analysis (Longman Scientific and Technical, Essex, UK, 1993), 2nd ed., p. 27.
29. J. Maalouly and B. Jaillas, in La spectroscopie infrarouge et ses applications analytiques, D. Bertrand and E. Dufour, Eds. (TEC & DOC, Paris, France, 2006), 2nd ed., Chap. 7, p. 175.