期刊
FOOD CHEMISTRY
卷 218, 期 -, 页码 543-552出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2016.09.051
关键词
Surface-enhanced Raman imaging; Thiophanate-methyl; Multivariate analysis; Vegetable
资金
- Administration of Ocean and Fisheries of Guangdong Province [A201401C04]
- Collaborative Innovation Major Special Projects of Guangzhou City [201508020097]
- Natural Science Foundation of Guangdong Province [2014A030313244]
- International S&T Cooperation Projects of Guangdong Province [2013B051000010]
- International S&T Cooperation Program of China [2015DFA71150]
- Guangdong Province Government (China)
Surface-enhanced Raman scattering (SERS) imaging coupling with multivariate analysis in spectral region of 200 to 1800 cm(-1) was developed to quantify and visualize thiophanate-methyl (TM) and its metabolite carbendazim residues in red bell pepper (Capsicum annuum L.). Least squares support vector machines (LS-SVM) and support vector machines (SVM) models based on seven optimized characteristic peaks that showed SERS effects of TM and its metabolite carbendazim residues were employed to establish prediction models. SERS spectra with first derivative (1st) and second derivative (2nd) method were subsequently compared and the optimized model of 1st-LS-SVM acquired showed the best performance (RPD = 6.08, R-P(2) = 0.986 and RMSEP = 0.473). The results demonstrated that SERS imaging with multivariate analysis had the potential for rapid determination and visualization of the trace TM and its metabolite carbendazim residues in complex food matrices. (C) 2016 Elsevier Ltd. All rights reserved.
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