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Surface-Enhanced Raman Spectroscopy Substrates for Food Safety and Quality Analysis

期刊

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
卷 70, 期 18, 页码 5463-5476

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jafc.2c00089

关键词

surface-enhanced Raman spectroscopy (SERS); plasmonic metal nanoparticles; organic and inorganic semiconductors; hybrid SERS substrate; food safety and quality analysis

资金

  1. Deakin University
  2. Australian Research Council Centre of Excellence Scheme [CE140100012]
  3. National Natural Science Foundation of China [82072016]
  4. Fundamental Research Funds for the Central Universities [2020ZYGXZR039]
  5. Guangdong Basic and Applied Basic Research Foundation [2021A1515011511]

向作者/读者索取更多资源

This article investigates the impact of different substrates on SERS technology in quantitative food safety and quality analysis. The fundamentals, substrate designs, and applications of SERS are discussed, followed by a critical review of its recent progress in screening and detecting chemical and biological contaminants in food samples. The future trends and practical techniques for rapid and low-cost food analysis are also explored.
Surface-enhanced Raman spectroscopy (SERS) has been identified as a fundamental surface-sensitive technique that boosts Raman scattering by adsorbing target molecules on specific surfaces. The application of SERS highly relies on the development of smart SERS substrates, and thus the fabrication of SERS substrates has been constantly improved. Herein, we investigate the impacts of different substrates on SERS technology including plasmonic metal nanoparticles, semiconductors, and hybrid systems in quantitative food safety and quality analysis. We first discuss the fundamentals, substrate designs, and applications of SERS. We then provide a critical review of the recent progress of SERS in its usage for screening and detecting chemical and biological contaminants including fungicides, herbicides, insecticides, hazardous colorants, and biohazards in food samples to assess the analytical capabilities of this technology. Finally, we investigate the future trends and provide practical techniques that could be used to fulfill the requirements for rapid analysis of food at a low cost.

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