Shanshan Xue , Zhepeng Zhang , Lixin Ma , Pengmin Zhang , Chen Wang , Usman Majeed , Hesham R. El-Seedi , Xiaobo Zou , Zhiming Guo
{"title":"Dual-mode SERS-based optical sensors for detection of contaminants in food: A comprehensive review","authors":"Shanshan Xue , Zhepeng Zhang , Lixin Ma , Pengmin Zhang , Chen Wang , Usman Majeed , Hesham R. El-Seedi , Xiaobo Zou , Zhiming Guo","doi":"10.1016/j.trac.2025.118378","DOIUrl":null,"url":null,"abstract":"<div><div>Food safety is an escalating global issue with significant implications for public health. To combat this issue, dual-mode optical sensors based on Surface-Enhanced Raman Spectroscopy (SERS) have been proposed as the focus of scientific research. These sensors output two non-interfering optical signals that complement each other's strengths, offering enhanced detection capabilities. Hence, this review systematically explored recent advancements in SERS-based dual-mode optical sensors for detecting contaminants in food matrices, focusing on four prominent types. It outlined the principles of optical detection technology, described the sensing strategies of these sensors, and evaluated their performance in detecting food contaminants. The high sensitivity and reliability of these sensors are enabled by dual-signal verification, reducing misidentification in complex food matrices. Additionally, the review delved into existing challenges and proposed future directions. These advancements position SERS-based dual-mode sensors as powerful analytical tools for accurate, reliable contaminant detection, significantly improving food safety monitoring and quality control.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"191 ","pages":"Article 118378"},"PeriodicalIF":11.8000,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Analytical Chemistry","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165993625002468","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Food safety is an escalating global issue with significant implications for public health. To combat this issue, dual-mode optical sensors based on Surface-Enhanced Raman Spectroscopy (SERS) have been proposed as the focus of scientific research. These sensors output two non-interfering optical signals that complement each other's strengths, offering enhanced detection capabilities. Hence, this review systematically explored recent advancements in SERS-based dual-mode optical sensors for detecting contaminants in food matrices, focusing on four prominent types. It outlined the principles of optical detection technology, described the sensing strategies of these sensors, and evaluated their performance in detecting food contaminants. The high sensitivity and reliability of these sensors are enabled by dual-signal verification, reducing misidentification in complex food matrices. Additionally, the review delved into existing challenges and proposed future directions. These advancements position SERS-based dual-mode sensors as powerful analytical tools for accurate, reliable contaminant detection, significantly improving food safety monitoring and quality control.
期刊介绍:
TrAC publishes succinct and critical overviews of recent advancements in analytical chemistry, designed to assist analytical chemists and other users of analytical techniques. These reviews offer excellent, up-to-date, and timely coverage of various topics within analytical chemistry. Encompassing areas such as analytical instrumentation, biomedical analysis, biomolecular analysis, biosensors, chemical analysis, chemometrics, clinical chemistry, drug discovery, environmental analysis and monitoring, food analysis, forensic science, laboratory automation, materials science, metabolomics, pesticide-residue analysis, pharmaceutical analysis, proteomics, surface science, and water analysis and monitoring, these critical reviews provide comprehensive insights for practitioners in the field.