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Evaluation of the SERS‐based strategy in fast and on‐site food safety inspection: Qualitative and quantitative analysis of trace unexpected herbicide in complicated herbicide matrix
Journal of Raman Spectroscopy ( IF 2.4 ) Pub Date : 2020-11-02 , DOI: 10.1002/jrs.6026
Cheng Pan 1 , Hongju Chen 2, 3 , Qin Lin 1 , Siheng Luo 4 , Jialei Gu 4 , Shaoqing Ye 3 , Yongming Zeng 3 , Bin Ren 4 , Zhongqun Tian 4 , Wendong Xue 5 , Guokun Liu 2
Affiliation  

Recently, surface‐enhanced Raman spectroscopy (SERS)‐based detection strategies have been widely developed for various practical applications, due to the near‐single‐molecule sensitivity and fingerprint identification capability. However, the qualitative and quantitative reliability of SERS have always been questioned when comparing with the classical GC/LC–MS techniques. Here, we systematically compared the properties of SERS and LC–MS in the detection of an unexpected herbicide in commercial herbicide. The result showed that, in the case of the ultra‐trace target detection in a complicated matrix, SERS‐based strategy exhibited high sensitivity and a much higher detection efficiency than the LC–MS‐based one, which demonstrated a more accurate quantifiability being facilitated with a well‐controlled sample pretreatment. Therefore, we showed that SERS could be further implemented in fast and on‐site detection tools for food safety application and environment monitoring.

中文翻译:

快速和现场食品安全检查中基于SERS的策略的评估:复杂除草剂基质中痕量意外除草剂的定性和定量分析

最近,由于具有接近单分子的灵敏度和指纹识别能力,基于表面增强拉曼光谱(SERS)的检测策略已被广泛开发用于各种实际应用。但是,与传统的GC / LC-MS技术相比,SERS的定性和定量可靠性一直受到质疑。在这里,我们系统地比较了SERS和LC-MS在商业除草剂中检测到意外除草剂的特性。结果表明,在复杂基质中进行超痕量目标检测的情况下,基于SERS的策略比基于LC-MS的策略具有更高的灵敏度和更高的检测效率,这表明可实现更准确的定量进行良好控制的样品预处理。因此,
更新日期:2020-12-10
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