邵晨阳,赵一墨,鹿莉莉,齐星宇,王子栋,陈澍奇,马跃龙,田 野.化学通报,2024,87(8):898-912. |
近红外光谱技术在成分分析与检测中的应用研究进展 |
Research progress of near-infrared spectroscopy technology in composition analysis and detection |
投稿时间:2024-03-26 修订日期:2024-04-30 |
DOI: |
中文关键词: 近红外光谱 光谱数据 检测模型 无损检测 决定系数 |
英文关键词:Near-infrared spectroscopy spectral data detection models non-invasivenss testing determination coefficient |
基金项目: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)和嵩山实验室预研项目(YYJC072022020)资助 |
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中文摘要: |
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。本综述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,文本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。 |
英文摘要: |
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 paper discusses the development direction of near-infrared spectroscopy detection technology and prospects its application outlook. |
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