近红外光谱快速分析技术的应用研究进展  

Progress in the Application of Near-Infrared Spectroscopy for Rapid Analysis

作　　者：邵晨阳 赵一墨 鹿莉莉 齐星宇 王子栋 陈澍奇 田野[1] 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)

机构地区：[1]河南工业大学机电工程学院,郑州450001 [2]河南工业大学粮油食品学院,郑州450001 [3]嵩山实验室,郑州450046

出　　处：《化学通报》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。

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.

关 键 词：近红外光谱 检测模型 无损检测 特征波长 光谱范围 

分 类 号：O657.33[理学—分析化学]