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Rapid detection of fumonisin B1 and B2 in ground corn samples using smartphone-controlled portable near-infrared spectrometry and chemometrics.

Authors
  • Shen, Guanghui1
  • Kang, Xiaocun1
  • Su, Jianshuo1
  • Qiu, Jianbo1
  • Liu, Xin1
  • Xu, Jianhong2
  • Shi, Jianrong3
  • Mohamed, Sherif Ramzy4
  • 1 Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base, Ministry of Science and Technology/Key Laboratory for Agro-product Safety Risk Evaluation (Nanjing), Ministry of Agriculture and Rural Affairs/Collaborative Innovation Center for Modern Grain Circulation and Safety/Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, Nanjing, China. , (China)
  • 2 Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base, Ministry of Science and Technology/Key Laboratory for Agro-product Safety Risk Evaluation (Nanjing), Ministry of Agriculture and Rural Affairs/Collaborative Innovation Center for Modern Grain Circulation and Safety/Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, Nanjing, China; School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, China. Electronic address: [email protected] , (China)
  • 3 Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base, Ministry of Science and Technology/Key Laboratory for Agro-product Safety Risk Evaluation (Nanjing), Ministry of Agriculture and Rural Affairs/Collaborative Innovation Center for Modern Grain Circulation and Safety/Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, Nanjing, China; School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, China. Electronic address: [email protected] , (China)
  • 4 Food Toxicology and Contaminants Dept, National Research Centre, Giza, Egypt. , (Egypt)
Type
Published Article
Journal
Food chemistry
Publication Date
Aug 01, 2022
Volume
384
Pages
132487–132487
Identifiers
DOI: 10.1016/j.foodchem.2022.132487
PMID: 35189437
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

A portable near-infrared (NIR) spectrometer coupled with chemometrics for the detection of fumonisin B1 and B2 (FBs) in ground corn samples was proposed in the present work. A total of 173 corn samples were collected, and their FB contents were determined by HPLC-MS/MS. Partial least squares (PLS), support vector machine (SVM) and local PLS based on global PLS score (LPLS-S) algorithms were employed to construct quantitative models. The performance of the SVM and LPLS-S was better than that of PLS, and the LPLS-S presented the lowest RMSEP (12.08 mg/kg) and the highest RPD (3.44). Partial least squares-discriminant analysis (PLS-DA) and support vector machine-discriminant analysis (SVM-DA) were used to classify corn samples according to the maximum residue limit (MRL) of FBs, and the discriminant accuracy of both the PLS-DA and SVM-DA algorithms was above 86.0%. Thus, the present study provided a rapid method for monitoring FB contamination in corn samples. Copyright © 2022 Elsevier Ltd. All rights reserved.

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