摘要
表面增强拉曼光谱(surface-enhanced Raman spectroscopy,SERS)是一种新兴的超灵敏分析技术,在食品安全、环境监测和临床诊断等多个领域都有应用前景。然而,传统SERS检测以金或银的贵金属纳米材料为活性基底,存在均一性和稳定较差、成本较高的问题。通过将SERS与光催化技术联用,以半导体-贵金属复合纳米材料为基底,可改善检测结果的稳定性和批次间差异性,有效降低成本。同时,利用材料的光催化降解功能可达到消除污染物和循环使用基底的目的。本文重点介绍近期光催化自清洁SERS基底用于食品污染物可循环检测的研究进展,包括无机/有机半导体-贵金属复合SERS基底的制备方法、优势和不足,及其在农药、非法添加剂和抗生素等食品中典型污染物检测和消除中的应用,最后总结了该领域现存的挑战和未来的发展趋势。
Surface-enhanced Raman spectroscopy(SERS)is an emerging ultrasensitive analytical technology with potential applications in many fields,such as food safety detection,environmental monitoring and clinical diagnosis.However,traditional SERS detection mainly relies on Au or Ag nanomaterials as substrates,resulting in poor signal uniformity,poor stability and high cost.Benefitting from the combination of SERS and photocatalysis,the signal uniformity,batch-to-batch consistency and cost effectiveness can be significantly improved by using semiconductor-noble metal composite nanomaterials as SERS substrates.Moreover,the elimination of hazardous analytes and the recyclable SERS detection can be achieved via photocatalyzed degradation.The current review mainly focuses on new developments in photocatalysis-SERS for the recyclable detection of food contaminants.The design and fabrication procedures of recyclable SERS substrates made of inorganic/organic semiconductor photocatalysts and noble metal nanomaterial composites are introduced along with their advantages and shortcomings,and their potential applications in the detection and elimination of typical food contaminants including pesticides,banned additives and antibiotics are discussed in detail.Finally,the current challenges and future trends in this field are also summarized.
作者
翟文磊
韦迪哲
王蒙
ZHAI Wenlei;WEI Dizhe;WANG Meng(Institute of Quality Standard and Testing Technology,Beijing Academy of Agriculture and Forestry Science(BAAFS),Beijing 100097,China)
出处
《食品科学》
EI
CAS
CSCD
北大核心
2022年第13期327-335,共9页
Food Science
基金
北京市自然科学基金项目(6214036)
北京市科技计划课题(Z211100007021005)
北京市农林科学院科技创新能力建设专项(KJCX20210407)。
关键词
表面增强拉曼光谱
光催化降解
食品污染物检测
半导体-贵金属杂化纳米材料
surface-enhanced Raman spectroscopy
photocatalytic degradation
detection of food contaminants
semiconductor-noble metal hybrid nanomaterials
