期刊
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
卷 173, 期 -, 页码 832-836出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.saa.2016.10.051
关键词
Near-infrared; Milk; Melamine; Class-modeling
类别
资金
- National Natural Science Foundation of China [21375118, J1310041]
- Opening Fund of Key Lab of Process Analysis and Control of Sichuan Universities of China [2015006]
- Applied Basic Research Programs of Science and Technology Department of Sichuan Province of China [2013JY0101]
- Innovative Research and Teaching Team Program of Yibin University [Cx201104]
- Scientific Research Fund of Sichuan Provincial Education Department of China [13ZB0300]
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. (C) 2016 Elsevier B.V. All rights reserved.
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