Research advances of SERS analysis method based on silent region molecules for food safety detection
文献类型： 外文期刊
作者： Sun, Yuhang 1 ; Zheng, Xinxin 1 ; Wang, Hao 1 ; Yan, Mengmeng 2 ; Chen, Zilei 2 ; Yang, Qinzheng 1 ; Shao, Yong 3 ;
作者机构： 1.Qilu Univ Technol, Shandong Acad Sci, Sch Bioengn, State Key Lab Biobased Mat & Green Papermaking, Jinan 250353, Shandong, Peoples R China
2.Shandong Acad Agr Sci, Inst Qual Stand & Testing Technol Agroprod, Jinan 250100, Peoples R China
3.Chinese Acad Agr Sci, Inst Qual Stand & Testing Technol Agroprod, Beijing 100081, Peoples R China
关键词： SERS; Silent region molecules; Matrix effects; Food safety
期刊名称：MICROCHIMICA ACTA （ 影响因子：5.7； 五年影响因子：5.4 ）
ISSN： 0026-3672
年卷期： 2023 年 190 卷 10 期
页码：
收录情况： SCI
摘要： Food safety is a critical issue that is closely related to people's health and safety. As a simple, rapid, and sensitive detection technique, surface-enhanced Raman scattering (SERS) technology has significant potential for food safety detection. Recently, researchers have shown a growing interest in utilizing silent region molecules for SERS analysis. These molecules exhibit significant Raman scattering peaks in the cellular Raman silent region between 1800 and 2800 cm(-1) avoiding overlapping with the SERS spectrum of biological matrices in the range 600-1800 cm(-1), which could effectively circumvent matrix effects and improve the SERS accuracy. In this review, the application of silent region molecules-based SERS analytical technique for food safety detection is introduced, detection strategies including label-free detection and labeled detection are discussed, and recent applications of SERS analysis technology based on molecules containing alkyne and nitrile groups, as well as Prussian blue (PB) in the detection of pesticides, mycotoxins, metal ions, and foodborne pathogens are highlighted. This review aims to draw the attention to the silent region molecules-based SERS analytical technique and to provide theoretical support for its further applications in food safety detection.
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