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[Application of kernel orthogonal projection to latent structure discriminant analysis in the discrimination of adulterated milk].
Guang Pu Xue Yu Guang Pu Fen Xi. 2013 Aug; 33(8):2083-6.GP

Abstract

Based on the method of kernet Orthogonal Projection to Latent Structure Discriminant Analysis, discrimination models for adulterated milk were established in the present paper. Forty adulterated milk samples with melamine (0.01-3 g x L(-1)) and 40 adulterated milk samples with urea (1-20 g x L(-1)) were prepared, respectively. Then the near-infrared absorption spectra of all samples were measured. The spectra in the range of 4 200-4 800 cm(-1) were selected to construct the KOPLS-DA models for milk adulterated with melamine, milk adulterated with urea and milk adulterated with both melamine and urea. The results showed that, compared with PLS-DA and OPLS-DA models, KOPLS-DA model had better discriminant ability for the adulterated milk, and its classification accuracy rate (CAR) for milk adulterated with melamine, milk adulterated with urea and milk adulterated with both melamine and urea were 95%, 100% and 97.5%, respectively.

Authors+Show Affiliations

State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China. rongliu@tju.edu.cnNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

English Abstract
Journal Article
Research Support, Non-U.S. Gov't

Language

chi

PubMed ID

24159851

Citation

Liu, Rong, et al. "[Application of Kernel Orthogonal Projection to Latent Structure Discriminant Analysis in the Discrimination of Adulterated Milk]." Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu, vol. 33, no. 8, 2013, pp. 2083-6.
Liu R, Yang RJ, Miao J, et al. [Application of kernel orthogonal projection to latent structure discriminant analysis in the discrimination of adulterated milk]. Guang Pu Xue Yu Guang Pu Fen Xi. 2013;33(8):2083-6.
Liu, R., Yang, R. J., Miao, J., & Xu, K. X. (2013). [Application of kernel orthogonal projection to latent structure discriminant analysis in the discrimination of adulterated milk]. Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu, 33(8), 2083-6.
Liu R, et al. [Application of Kernel Orthogonal Projection to Latent Structure Discriminant Analysis in the Discrimination of Adulterated Milk]. Guang Pu Xue Yu Guang Pu Fen Xi. 2013;33(8):2083-6. PubMed PMID: 24159851.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Application of kernel orthogonal projection to latent structure discriminant analysis in the discrimination of adulterated milk]. AU - Liu,Rong, AU - Yang,Ren-Jie, AU - Miao,Jing, AU - Xu,Ke-Xin, PY - 2013/10/29/entrez PY - 2013/10/29/pubmed PY - 2015/3/31/medline SP - 2083 EP - 6 JF - Guang pu xue yu guang pu fen xi = Guang pu JO - Guang Pu Xue Yu Guang Pu Fen Xi VL - 33 IS - 8 N2 - Based on the method of kernet Orthogonal Projection to Latent Structure Discriminant Analysis, discrimination models for adulterated milk were established in the present paper. Forty adulterated milk samples with melamine (0.01-3 g x L(-1)) and 40 adulterated milk samples with urea (1-20 g x L(-1)) were prepared, respectively. Then the near-infrared absorption spectra of all samples were measured. The spectra in the range of 4 200-4 800 cm(-1) were selected to construct the KOPLS-DA models for milk adulterated with melamine, milk adulterated with urea and milk adulterated with both melamine and urea. The results showed that, compared with PLS-DA and OPLS-DA models, KOPLS-DA model had better discriminant ability for the adulterated milk, and its classification accuracy rate (CAR) for milk adulterated with melamine, milk adulterated with urea and milk adulterated with both melamine and urea were 95%, 100% and 97.5%, respectively. SN - 1000-0593 UR - https://www.unboundmedicine.com/medline/citation/24159851/[Application_of_kernel_orthogonal_projection_to_latent_structure_discriminant_analysis_in_the_discrimination_of_adulterated_milk]_ L2 - https://www.ingentaconnect.com/openurl?genre=article&issn=1000-0593&volume=33&issue=8&spage=2083&aulast=Liu DB - PRIME DP - Unbound Medicine ER -