基于纳米纤维素的柔性SERS基底在食品安全检测中的应用
Construction of Flexible Nanocellulose-based SERS Substrate and Its Application in Food Safety Testing
张忻娅 1胡沛杉 1宋利群 1张玮 1邹薇 1尚明 2王翠娟1
作者信息
- 1. 山东第一医科大学(山东省医学科学院),山东省职业卫生与职业病防治研究院,山东 济南 250062
- 2. 山东第一医科大学(山东省医学科学院),山东省肿瘤医院,山东济南 250114
- 折叠
摘要
现有食品安全检测方法大多存在样品预处理复杂、需使用大量有机萃取剂、检测过程耗时的问题.近年,研究者不断尝试构建简便、绿色、快速、经济低耗的检测方法,其中表面增强拉曼光谱技术(surface-enhanced Raman spectroscopy,SERS)以其快速、灵敏等优点,在食品安全检测中极具应用潜力.构建高性能基底是SERS检测的前提,也是目前面临的主要挑战.纳米纤维素具有比表面积大、机械强度高、可改性和再生等优点,利用其制备的柔性SERS基底为解决食品中农药残留的快速富集和检测提供了新的可能.本文首先介绍了SERS技术及面临的问题,纳米纤维素材料的分类及优势,进而综述了基于柔性纳米纤维素的SERS基底应用于食品安全检测的现状,并讨论了其前景,旨在为新型SERS基底进一步应用于食品安全检测领域提供更多依据.
Abstract
Most existing food safety testing methods face the problems of complicated sample pretreatment processes,large amounts of organic extractant consumption,and time-consuming procedures.In recent years,researchers have continuously attempted to establish simple,green,fast,and cost-effective detection methods.Surface-enhanced Raman spectroscopy(SERS)is a new spectral technique with great application potential in food safety testing with ultra-high sensitivity and efficiency.The construction of high-performance substrates is the premise of SERS detection and the main challenge at present.Nanocellulose has the advantages of large surface area and high mechanical strength,and can be modified and regenerated.The flexible nanocellulose-based SERS substrate provides new potential for rapid enrichment and detection.Firstly,SERS technology and the problems it faces,and the classification and advantages of nanocellulose materials are introduced in this paper.Furthermore,the application of SERS substrate based on flexible nanocellulose in food safety detection is reviewed,and its prospect is discussed,aiming to provide more basis for further application of new SERS substrate in the field of food safety detection.
关键词
表面增强拉曼光谱/纳米纤维素/食品安全/快速检测Key words
surface-enhanced Raman spectroscopy/nanocellulose/food safety/rapid detection引用本文复制引用
基金项目
国家自然科学基金(81872575)
山东省自然科学基金(ZR2023MH146)
山东省自然科学基金(2017YL002)
山东省中医药科技项目(2021M152)
山东省医药卫生科技发展计划项目(202112070425)
山东第一医科大学学术提升计划(2017GSF18186)
济南市临床医学科技创新计划项目(202225062)
出版年
2024
NETL
NSTL
万方数据