Tags

Type your tag names separated by a space and hit enter

Detection of melamine adulteration in milk by near-infrared spectroscopy and one-class partial least squares.
Spectrochim Acta A Mol Biomol Spectrosc. 2017 Feb 15; 173:832-836.SA

Abstract

Melamine is a noxious nitrogen-rich substance and has been illegally adulterated in milk to boost the protein content. The present work investigated the feasibility of using near-infrared (NIR) spectrum and one-class partial least squares (OCPLS) for detecting the adulteration of melamine. A total of 102 liquor milks were prepared for experiment. A special variable importance (VI) index was defined to select 40 most significant variables. Thirty-two pure milk samples constitute the training set for constructing a one-class model and the other samples were used for the test set. The results showed that on the independent test set, it can achieve an acceptable performance, i.e., the total accuracy of 89%, the sensitivity of 90%, and the specificity of 88%. It seems that the combination of NIR spectroscopy and OCPLS classifier can serve as a potential tool for rapid and on-site screening melamine in milk samples.

Authors+Show Affiliations

Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, Sichuan 644000, China; Hospital, Yibin University, Yibin, Sichuan 644000, China.Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, Sichuan 644000, China. Electronic address: chaotan1112@163.com.Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, Sichuan 644000, China; The First Affiliated Hospital, Chongqing Medical University, Chongqing 400016, China.Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, Sichuan 644000, China.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

27816741

Citation

Chen, Hui, et al. "Detection of Melamine Adulteration in Milk By Near-infrared Spectroscopy and One-class Partial Least Squares." Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy, vol. 173, 2017, pp. 832-836.
Chen H, Tan C, Lin Z, et al. Detection of melamine adulteration in milk by near-infrared spectroscopy and one-class partial least squares. Spectrochim Acta A Mol Biomol Spectrosc. 2017;173:832-836.
Chen, H., Tan, C., Lin, Z., & Wu, T. (2017). Detection of melamine adulteration in milk by near-infrared spectroscopy and one-class partial least squares. Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy, 173, 832-836. https://doi.org/10.1016/j.saa.2016.10.051
Chen H, et al. Detection of Melamine Adulteration in Milk By Near-infrared Spectroscopy and One-class Partial Least Squares. Spectrochim Acta A Mol Biomol Spectrosc. 2017 Feb 15;173:832-836. PubMed PMID: 27816741.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Detection of melamine adulteration in milk by near-infrared spectroscopy and one-class partial least squares. AU - Chen,Hui, AU - Tan,Chao, AU - Lin,Zan, AU - Wu,Tong, Y1 - 2016/10/28/ PY - 2016/06/22/received PY - 2016/10/24/revised PY - 2016/10/26/accepted PY - 2016/11/7/pubmed PY - 2018/8/3/medline PY - 2016/11/7/entrez KW - Class-modeling KW - Melamine KW - Milk KW - Near-infrared SP - 832 EP - 836 JF - Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy JO - Spectrochim Acta A Mol Biomol Spectrosc VL - 173 N2 - Melamine is a noxious nitrogen-rich substance and has been illegally adulterated in milk to boost the protein content. The present work investigated the feasibility of using near-infrared (NIR) spectrum and one-class partial least squares (OCPLS) for detecting the adulteration of melamine. A total of 102 liquor milks were prepared for experiment. A special variable importance (VI) index was defined to select 40 most significant variables. Thirty-two pure milk samples constitute the training set for constructing a one-class model and the other samples were used for the test set. The results showed that on the independent test set, it can achieve an acceptable performance, i.e., the total accuracy of 89%, the sensitivity of 90%, and the specificity of 88%. It seems that the combination of NIR spectroscopy and OCPLS classifier can serve as a potential tool for rapid and on-site screening melamine in milk samples. SN - 1873-3557 UR - https://www.unboundmedicine.com/medline/citation/27816741/Detection_of_melamine_adulteration_in_milk_by_near_infrared_spectroscopy_and_one_class_partial_least_squares_ DB - PRIME DP - Unbound Medicine ER -