Surface-enhanced Raman scattering based on noble metal nanoassemblies for detecting harmful substances in food

Baojun Wang, Yue Han, Lu Zhang, Zikuo Chen, Wenqi Zhang, Mengyu Ren, Junling Shi, Xiaoguang Xu, Ying Yang

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

Abstract

Residues of harmful substances in food can severely damage human health. The content of these substances in food is generally low, making detection difficult. Surface-enhanced Raman scattering (SERS), based on noble metal nanomaterials, mainly gold (Au) and silver (Ag), has exhibited excellent capabilities for trace detection of various substances. Noble metal nanoassemblies, in particular, have extraordinary flexibility and tunable optical properties, which cannot be offered by single nanoparticles (NPs). These nanoassemblies, with their various morphologies synthesized using NPs through artificially induced self-assembly or template-driven preparation, can significantly enhance the local electric field and create “hot spots” due to the gaps between adjacent NPs. Consequently, the SERS properties of NPs become more prominent, leading to improved performance in the trace detection of various substances and detection limits that are considerably lower than the current relevant standards. Noble metal nanoassemblies show promising potential in ensuring food safety. This review discusses the synthesis methods and SERS properties of noble metal nanoassemblies and then concentrates on their application in detecting biotoxins, drug residues, illegal additives, and heavy metals. The study provides valuable references for further research into the application of nanoassemblies in food safety detection.

Original languageEnglish
JournalCritical Reviews in Food Science and Nutrition
DOIs
StateAccepted/In press - 2024

Keywords

  • food
  • harmful substances
  • Noble metal nanoassemblies
  • SERS

Fingerprint

Dive into the research topics of 'Surface-enhanced Raman scattering based on noble metal nanoassemblies for detecting harmful substances in food'. Together they form a unique fingerprint.

Cite this