Challenges in SERS-based pesticide detection and plausible solutions,Journal of Agricultural and Food Chemistry

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Challenges in SERS-based pesticide detection and plausible solutions
Journal of Agricultural and Food Chemistry ( IF 5.7 ) Pub Date : 2019-11-01 , DOI: 10.1021/acs.jafc.9b05077
Andrea Bernat ₁ , Mustafa Samiwala ₁ , Jonathan Albo ₂ , Xingyi Jiang ₁ , Qinchun Rao ₁

Affiliation

Surface-enhanced Raman spectroscopy (SERS) can be used for the detection of trace amounts of pesticides in foods to ensure consumer safety. In this perspective, we highlight the trends of SERS-based assays in pesticide detection and the various challenges associated with their selectivity, reproducibility, and nonspecific binding. We also discuss and compare the target analyte capture techniques, such as the use of antibodies, aptamers, and molecularly imprinted polymers (MIPs), coupled with SERS to overcome the drawbacks as mentioned above. In addition, issues related to the nonspecific binding of analytes and its potential solution are discussed.

中文翻译：

基于SERS的农药检测和可行解决方案中的挑战

表面增强拉曼光谱（SERS）可用于检测食品中的痕量农药，以确保消费者安全。从这个角度出发，我们重点介绍了基于SERS的农药检测方法的发展趋势以及与其选择性，可重复性和非特异性结合相关的各种挑战。我们还将讨论和比较目标分析物捕获技术，例如使用抗体，适体和分子印迹聚合物（MIP），以及与SERS结合使用，以克服上述缺点。此外，讨论了与分析物及其潜在解决方案的非特异性结合有关的问题。

更新日期：2019-11-01

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