期刊
COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY
卷 20, 期 3, 页码 2476-2507出版社
WILEY
DOI: 10.1111/1541-4337.12741
关键词
chemometrics; food quality assessment; potential hazards detection; Raman spectroscopy; surface‐ enhanced Raman spectroscopy
资金
- National Key Research and Development Program of China [2019YFC1604500]
- Key Research and Development Program of Zhejiang Province [2020C02040, 2020C02037]
The study explores the use of Raman spectroscopy and SERS in food safety and quality control assays, emphasizing on the importance of chemometric algorithms. It covers spectral preprocessing, qualitative and quantitative algorithms, and highlights the applicability in monitoring various contaminants in different food matrices. The review also discusses the potential of Raman spectroscopy/SERS technique in achieving simultaneous and fast detection of multiple analytes in food matrices.
Raman spectroscopy and surface-enhanced Raman spectroscopy (SERS) have been extensively explored in the design of accurate, transparent, and conclusive food safety and quality control assays. Its hyphenation with chemometric algorithms is instrumental in securing safe food campaigns. To provide valuable recommendations and meet the growing demands for food screening, the current study begins with a brief description of the Raman spectroscopy and SERS theory followed by a comprehensive overview of spectral preprocessing, qualitative algorithms, variable selection methods, and quantitative algorithms. The review emphasizes on the importance of food monitoring practices using multivariate regression models. The applicability of the distinct chemometrics modes toward monitoring pesticide, food and illicit additives, heavy metals, pathogens, and its metabolites in Raman spectroscopy and SERS is covered in dairy, poultry, oil, honey, beverages, and other selected food matrices. Its pertinence toward classification and/or discrimination in food quality and safety monitoring and authentication is examined. Finally, it also complies with the limitations, key challenges, and prospects. The chemometrics processing spectra implemented with simpler or no complicated sample pretreatment step make Raman spectroscopy/SERS technique a potential approach that is expected to achieve simultaneous and fast detection of multiple analytes in food matrices.
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