Detection of melamine adulteration in milk by near-infrared spectroscopy and one-class partial least squares.
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.
Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, Sichuan 644000, China; Hospital, Yibin University, Yibin, Sichuan 644000, China.
Hui
H
Chen
Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, Sichuan 644000, China. Electronic address: chaotan1112@163.com.
Chao
C
Tan
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.
Zan
Z
Lin
Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, Sichuan 644000, China.
Tong
T
Wu
D000818:Animals; D002417:Cattle; D005504:Food Analysis / Q000379:methods*; D008892:Milk / Q000737:chemistry*; D013055:Spectrophotometry, Infrared / Q000379:methods; D014227:Triazines / Q000032:analysis*
D014227:Triazines; C011907:melamine
Class-modeling; Melamine; Milk; Near-infrared