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

• Published in: Journal of Raman spectroscopy Vol. 51; no. 12; pp. 2562 - 2567
• Main Authors: Pan, Cheng, Chen, Hongju, Lin, Qin, Luo, Siheng, Gu, Jialei, Ye, Shaoqing, Zeng, Yongming, Ren, Bin, Tian, Zhongqun, Xue, Wendong, Liu, Guokun
• Format: Journal Article
• Language: English
• Published: Bognor Regis Wiley Subscription Services, Inc 01.12.2020
• Subjects: Environmental monitoring; fast and on‐site detection; Food; Food inspection; Food quality; Food safety; Herbicides; high sensitivity; Inspection; non‐targeting detection; Pretreatment; Qualitative analysis; Quantitative analysis; Raman spectroscopy; reliable quantifiability; Sensitivity; surface‐enhanced Raman spectroscopy; Target detection
• ISSN: 0377-0486; 1097-4555
• DOI: 10.1002/jrs.6026

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. Analysis of Trace Unexpected Herbicide in Complicated Herbicide Matrix.