NDLI: Multivariate qualitative analysis of banned additives in food safety using surface enhanced Raman scattering spectroscopy.

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Multivariate qualitative analysis of banned additives in food safety using surface enhanced Raman scattering spectroscopy.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Xie, Wanyi Liu, Xiaoling Zhang, Liqun Zhang, Wei Wang, Yunxia Du, Chunlei He, Shixuan Liu, Yulong
Description	Author Affiliation: He S ( Key Laboratory of Multi-scale Manufacturing Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, PR China.); Xie W ( Key Laboratory of Multi-scale Manufacturing Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, PR China.); Zhang W ( Key Laboratory of Multi-scale Manufacturing Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, PR China. Electronic address: zhangwei@cigit.ac.cn.); Zhang L ( Department of Clinical Laboratory, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, PR China.); Wang Y ( Department of Laboratory Medicine, Southwest Hospital, Third Military Medical University, Chongqing 400038, PR China.); Liu X ( Chongqing Academy of Chinese Meteria Medica, Chongqing 400065, PR China.); Liu Y ( Key Laboratory of Multi-scale Manufacturing Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, PR China.); Du C ( Key Laboratory of Multi-scale Manufacturing Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, PR China.)
Abstract	A novel strategy which combines iteratively cubic spline fitting baseline correction method with discriminant partial least squares qualitative analysis is employed to analyze the surface enhanced Raman scattering (SERS) spectroscopy of banned food additives, such as Sudan I dye and Rhodamine B in food, Malachite green residues in aquaculture fish. Multivariate qualitative analysis methods, using the combination of spectra preprocessing iteratively cubic spline fitting (ICSF) baseline correction with principal component analysis (PCA) and discriminant partial least squares (DPLS) classification respectively, are applied to investigate the effectiveness of SERS spectroscopy for predicting the class assignments of unknown banned food additives. PCA cannot be used to predict the class assignments of unknown samples. However, the DPLS classification can discriminate the class assignment of unknown banned additives using the information of differences in relative intensities. The results demonstrate that SERS spectroscopy combined with ICSF baseline correction method and exploratory analysis methodology DPLS classification can be potentially used for distinguishing the banned food additives in field of food safety.
ISSN	13861425
Volume Number	137
e-ISSN	18733557
Journal	Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
Language	English
Publisher	Elsevier
Publisher Date	2015-02-25
Publisher Place	Great Britain (UK)
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Food Additives Analysis Food Analysis Methods Food Contamination Naphthols Rhodamines Spectrum Analysis, Raman Journal Article Research Support, Non-u.s. Gov't Discipline Spectroscopy
Content Type	Text
Resource Type	Article
Subject	Spectroscopy Atomic and Molecular Physics, and Optics Analytical Chemistry Instrumentation

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