Innovative Application of SERS in Food Quality and Safety: A Brief Review of Recent Trends

Foods. 2022 Jul 14;11(14):2097. doi: 10.3390/foods11142097.

Abstract

Innovative application of surface-enhanced Raman scattering (SERS) for rapid and nondestructive analyses has been gaining increasing attention for food safety and quality. SERS is based on inelastic scattering enhancement from molecules located near nanostructured metallic surfaces and has many advantages, including ultrasensitive detection and simple protocols. Current SERS-based quality analysis contains composition and structural information that can be used to establish an electronic file of the food samples for subsequent reference and traceability. SERS is a promising technique for the detection of chemical, biological, and harmful metal contaminants, as well as for food poisoning, and allergen identification using label-free or label-based methods, based on metals and semiconductors as substrates. Recognition elements, including immunosensors, aptasensors, or molecularly imprinted polymers, can be linked to SERS tags to specifically identify targeted contaminants and perform authenticity analysis. Herein, we highlight recent studies on SERS-based quality and safety analysis for different foods categories spanning the whole food chain, 'from farm to table' and processing, genetically modified food, and novel foods. Moreover, SERS detection is a potential tool that ensures food safety in an easy, rapid, reliable, and nondestructive manner during the COVID-19 pandemic.

Keywords: authenticity; contaminant; coronavirus disease 2019 (COVID-19); food quality; genetically modified food (GMF); insects food; poisoning; safety; semiconductor; surface-enhanced Raman scattering (SERS).

Publication types

  • Review

Grants and funding

This research was funded by the Education Department of Jilin Province (No. JJKH20211127KJ), the National Natural Science Foundation of the People’s Republic of China (No. 22011540378), the Development Program of the Science and Technology of Jilin Province (No. 20190701003GH), the Interdisciplinary Integration and Innovation Project of JLU (No. JLUXKJC2021QZ11), the China Postdoctoral Science Foundation (No. 2018M631876), the Open Research Fund of National Research Center of Engineering and Technology of Tea Quality and Safety (No. 2017NTQS0201), China Agriculture Research System of MOF and MARA (No. CARS-04). The APC was funded by 22011540378.