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红外光谱技术在食品检测中的应用
引用本文:谢玉荣,李 强,王 娇.红外光谱技术在食品检测中的应用[J].食品安全质量检测技术,2019,10(22):7773-7778.
作者姓名:谢玉荣  李 强  王 娇
作者单位:海南省动物疫病预防控制中心,海南省动物疫病预防控制中心,海南省动物疫病预防控制中心
摘    要:红外光谱在食品检测研究中的应用较为广泛, 具有样品前处理简单、操作方便、易于推广, 且对气体、液体和固体样品均可准确检测等优点, 表现出良好的发展前景。本文概述红外光谱技术的检测基本原理和化学计量学在红外光谱技术中的应用, 在简要对比常用检测分析方法的优缺点基础上, 对红外光谱技术在食品鉴伪、品质研究、有害物检测和成分分析等领域的研究进展进行了综述, 详细介绍该技术与化学计量学结合评价食品品质的应用实例, 同时提出目前研究存在的局限性, 并陈述改进建议, 且对该技术在食品检测研究的未来发展方向作出展望, 以期为该技术的深入研究提供参考。

关 键 词:红外光谱    食品检测    化学计量学
收稿时间:2019/8/21 0:00:00
修稿时间:2019/11/12 0:00:00

Application ofinfrared reflectance spectroscopy on fooddetection
XIE Yu-Rong,LI Qiang and WANG Jiao.Application ofinfrared reflectance spectroscopy on fooddetection[J].Food Safety and Quality Detection Technology,2019,10(22):7773-7778.
Authors:XIE Yu-Rong  LI Qiang and WANG Jiao
Affiliation:Hainan Animal Disease Prevention and Control Center,Hainan Animal Disease Prevention and Control Center and Hainan Animal Disease Prevention and Control Center
Abstract:Infrared reflectance spectroscopy is extensively researched in food analysis testing. Because of the advantages of wide applicability, simple sample preparation, easy operation and promotion, suitability for analysis for gas, liquid and solid forms, it shows a good prospect. This paper introduced the basic principles of infrared reflectance spectroscopy, the application of chemometrics in infrared refletance spectroscopy, brief comparison of advantages and disadvantages of different routine analytical method, simultaneously research progress of infrared reflectance spectroscopy on identification, quality study, injurant detection and component analysis in food field. Meanwhile, it detailedly introduced the application of food quality evaluation by association of infrared reflectance spectroscopy with chemometrics, put forward the limitation of current research and suggestions, and discussed the development prospects of its application in food field, in order to provide references for the in-depth study of this technology.
Keywords:infrared reflectance spectroscopy  food detection  chemometrics
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