分析物
适体
纳米技术
拉曼散射
比色法
材料科学
化学
拉曼光谱
色谱法
遗传学
物理
光学
生物
作者
Huanhuan Li,Suleiman A. Haruna,Wei Sheng,Qiyi Bei,Waqas Ahmad,Muhammad Zareef,Quansheng Chen,Zhen Ding
标识
DOI:10.1016/j.trac.2023.117365
摘要
Surface-enhanced Raman scattering (SERS) has been proven to be an extremely efficient, reliable, and influential technique to monitor or determine various pollutants in food. It has various advantages, including simplicity, sensitivity, speed, and the ability to create distinguishable analyte fingerprints with minimal interference from water. The goal of this review was to evaluate the SERS-based sensor's progress in detecting and monitoring chemical pollutants in food. Over the last decade, significant progress has been made in the analysis of chemical contaminants, particularly pesticides, heavy metals, and mycotoxins. Several factors leading to improved SERS performance, such as SERS substrate, Raman reporter molecules, antibody, aptamer, lab-on-a-chip, molecularly imprinted polymers, as well as SERS tag techniques such as immunochromatographic assay, colorimetry, and imaging, are briefly discussed. The paper also summarized the theory and application of SERS-based label-free sensors and also emphasized the progress in applying mathematical models to SERS analysis of chemical contaminants.
科研通智能强力驱动
Strongly Powered by AbleSci AI