Abstract
Surface-enhanced Raman spectroscopy is an alternative detection tool for monitoring food security. However, there is still a lack of a conclusion of SERS detection with respect to pesticides and real sample analysis, and the summary of intelligent algorithms in SERS is also a blank. In this review, a comprehensive report of pesticides detection using SERS technology is given. The SERS detection characteristics of different types of pesticides and the influence of substrate on inspection are discussed and compared by the typical ways of classification. The key points, including the progress in real sample analysis and Raman data processing methods with intelligent algorithm, are highlighted. Lastly, major challenges and future research trends of SERS analysis of pesticide residue are also addressed. SERS has been proven to be a powerful technique for rapid test of residue pesticides in complex food matrices, but there still is a tremendous development space for future research.
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Acknowledgements
The project is financially supported by Premaintenance Youth Science Funds of Zhejiang Province (No.LR19F050001), National Key Research and Development Program project (No. 2017YFD040800). My gratitude also goes to Dr. Liang Pei for his support of National Demonstration Base for Micro/nano-fabrication & Optoelectronic Detection and International Science and Technology Cooperation.
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Zhang, D., Liang, P., Chen, W. et al. Rapid field trace detection of pesticide residue in food based on surface-enhanced Raman spectroscopy. Microchim Acta 188, 370 (2021). https://doi.org/10.1007/s00604-021-05025-3
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DOI: https://doi.org/10.1007/s00604-021-05025-3