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荧光光谱分析技术在食品检测领域的研究进展 被引量:11

Research Progress of Fluorescence Spectrum Analysis Technology in Food Detection
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摘要 荧光光谱分析技术作为一种食品检测技术,具有便捷、灵敏、高效的特点及检测食品中复杂成分及痕量成分的优势。本文介绍了荧光光谱分析技术的基本原理,系统总结了现阶段应用于食品检测领域的多种荧光光谱分析技术,包括原子荧光光谱、二维相关荧光光谱、三维荧光光谱、前表面荧光光谱、(总)同步荧光光谱以及荧光光谱成像技术等,对荧光光谱分析技术应用于粮油、畜禽肉、水产品、乳制品、果蔬等不同类别食品检测的方法与效果进行了归纳与总结,并进一步分析了荧光光谱分析技术现阶段存在的问题以及对未来发展趋势的展望。 As a testing technology for food,fluorescence spectrometry has the advantages of convenient,sensitive and efficient detection of complex and trace components in food.This article introduces the basic principles of fluorescence spectrum analysis technology,and systematically summarizes several fluorescence spectrum analysis technologies currently used in the field of food inspection,including atomic fluorescence spectrometry,two dimensional fluorescence correlation spectroscopy,excitation-emission matrices,front-face fluorescence spectroscopy,(total)synchronous fluorescence spectroscopy and fluorescence spectroscopy imaging technology,etc.The fluorescence spectrum analysis technology is used in the detection of different types of food such as grain and oil,livestock and poultry,aquatic products,dairy products,fruits and vegetables.The application methods and effects of fluorescence spectroscopy are summarized,and the existing problems and future development trends of fluorescence spectroscopy are analyzed.
作者 史鑫 罗永康 张佳然 史策 赵峙尧 SHI Xin;LUO Yongkang;ZHANG Jiaran;SHI Ce;ZHAO Zhiyao(Information Technology Research Center,Bejjing Academy of Agriculture and Forestry Sciences,Beijing 100097,China;College of Food Science and Nutritional Engineering,China Agricultural University,Beijing 100083,China;National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China;National Engineering Laboratory for Agri-product Quality Traceability,Beijing 100097,China;School of Artificial Intelligence,Beijing Technology and Business University,Beijing 100084,China)
出处 《食品工业科技》 CAS 北大核心 2022年第11期406-414,共9页 Science and Technology of Food Industry
基金 国家自然科学基金(31801617) 北京市农林科学院青年科研基金(QNJJ202218) 国家重点研发计划项目(2017YFC1600605)。
关键词 荧光光谱 食品检测 化学计量学 fluorescence spectrum food detection chemometrics
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