摘要
近红外光谱检测技术具有非侵入性、灵敏度高、响应速度快和效率高等优势,已经被广泛应用于农业、食品、临床医学检查和药物研发等领域。但其目前面临的瓶颈之一是难以实现实时在线检测、器件小型化和变深度检测。本文重点总结了近红外光谱检测技术在食品分析、农业生产、生物医学、药物分析等领域的研究进展,详细分析了近红外检测过程中光谱检测器件的组成、光谱采集模式、光谱数据处理以及检测模型,阐述了数据处理方式对检测精度和检测结果的影响;最后,讨论了近红外光谱检测技术的发展方向,并对其应用前景进行了展望。
Near-infrared spectroscopy detection technology has the advantages of non-invasiveness,high sensitivity,fast response,high efficiency,etc.,and has been widely applied in fields such as agriculture,food,clinical medical examination,and drug development.However,one of the current bottlenecks it faces is the difficulty in achieving real-time online detection,miniaturization of devices,and variable-depth detection.This review primarily summarizes the research progress of near-infrared spectroscopy detection technology in food analysis,agricultural production,biomedical sciences,drug analysis and other fields,analyzes the composition of spectral detection devices,spectral acquisition modes,spectral data processing,and detection models in near-infrared detection processes in detail,and expounds the impact of data processing methods on detection accuracy and results.Finally,the development direction of near-infrared spectroscopy detection technology is discussed,and its application outlook is prospected.
作者
邵晨阳
赵一墨
鹿莉莉
齐星宇
王子栋
陈澍奇
田野
马跃龙
Shao Chenyang;Zhao Yimo;Lu Lili;Qi Xingyu;Wang Zidong;Chen Shuqi;Tian Ye;Ma Yuelong(School of Mechanical and Electrical Engineering,Henan University of Technology,Zhengzhou,450001;School of Food Science and Technology,Henan University of Technology,Zhengzhou,450001;Songshan Laboratory,Zhengzhou,450046)
出处
《化学通报》
CAS
CSCD
北大核心
2024年第8期898-912,共15页
Chemistry
基金
国家自然科学基金项目(U1704147)
河南省重点研发与推广专项(222102210023)
河南省高校青年骨干教师计划项目(2019GGJS085)
河南工业大学博士基金项目(2021BS069)
博士后科研启动基金项目(21450O33)
嵩山实验室预研项目(YYJC072022020)资助。
关键词
近红外光谱
检测模型
无损检测
特征波长
光谱范围
Near-infrared spectroscopy
Detection models
Non-invasivenss testing
Characteristic wavelength
Spectral region