气体拉曼光谱检测技术的研究进展  

Research Progress of Gas Raman Spectroscopy Detection Technology

作　　者：周启帆 陆于 李澳 刘畅 张家和 杨羲 黄炎[1] 赵祥伟[1] ZHOU Qi-Fan;LU Yu;LI Ao;LIU Chang;ZHANG Jia-He;YANG Xi;HUANG Yan;ZHAO Xiang-Wei(National Key Laboratory of Digital Medical Engineering,School of Biological Science and Medical Engineering,Southeast University,Nanjing 211189,China)

机构地区：[1]东南大学生物科学与医学工程学院,数字医学工程全国重点实验室,南京211189

出　　处：《分析化学》2024年第7期925-936,共12页Chinese Journal of Analytical Chemistry

基　　金：江苏省重点研发计划(社会发展)项目(No.BE2021664);中央引导地方科技发展资金(自由探索类基础研究)(No.2021Szvup024)资助。

摘　　要：气体的高灵敏多重检测和准确识别在公共安全、环境保护、健康诊断和工业生产等领域中具有重要意义。传统的气体检测方法存在灵敏度低、耗时长、设备沉重、流程繁琐和成本高等不足。近年来,拉曼光谱检测技术因其具有快速、灵敏和无损的特点,已成为气体检测领域的研究热点,并与人工智能的结合愈加紧密。本文综述了近年来拉曼光谱技术在气体检测方面的应用研究进展,包括常规拉曼光谱检测和增强拉曼光谱检测;同时,介绍了人工智能算法在气体拉曼检测技术中的融合应用,并对气体拉曼光谱检测技术的未来发展进行了分析和展望。Highly sensitive multiple detection and accurate identification of gases are of great importance in the fields of public safety,environmental protection,health diagnosis and industrial production.However,the traditional means of gas detection have many shortcomings such as low sensitivity,long time-consuming,bulky equipment,cumbersome processes and expensive costs.In recent years,Raman spectroscopy has become a hotspot in the field of gas detection because of its fast,sensitive and non-destructive characteristics,and has been more and more closely combined with artificial intelligence.This paper reviews the progress of Raman spectroscopy in gas detection in recent years,including conventional Raman spectroscopy and enhanced Raman spectroscopy,and also introduces the integration of artificial intelligence algorithms in gas Raman detection technology,and discusses the future development of gas Raman detection.

关 键 词：气体检测 拉曼光谱 增强拉曼光谱 光谱分析算法 评述 

分 类 号：O657.37[理学—分析化学]