Detection of CO based on optical feedback cavity enhanced absorption spectroscopy

Yunzheng Wang, S. Guan, Z. Tan, Huilin Cao, Shirong Chen, Zeya Yang
{"title":"Detection of CO based on optical feedback cavity enhanced absorption spectroscopy","authors":"Yunzheng Wang, S. Guan, Z. Tan, Huilin Cao, Shirong Chen, Zeya Yang","doi":"10.1117/12.2667773","DOIUrl":null,"url":null,"abstract":"Carbon monoxide (CO) is an important object for atmospheric quality and medical diagnosis, and its trace concentration detection technology has been of great attention. For this purpose, various new detection methods have emerged, such as cavity ring down absorption spectroscopy and cavity enhanced absorption spectroscopy. In this paper, the demand for CO ppm-level trace concentration detection is taken as the traction, and an optical feedback cavity enhanced absorption spectroscopy system with an equivalent noise absorption sensitivity of 7.4×10-10cm-1Hz-1/2 is established to carry out the experiment of near-infrared detection of CO gas concentration. Based on the measurement data of the OF-CEAS system, the minimum measurable CO concentration of the system was inferred to be 1.98 ppm. This system can be developed as a portable respiratory gas diagnostic device and an atmospheric trace gas detection device such as NH3 and CO.","PeriodicalId":227067,"journal":{"name":"International Conference on Precision Instruments and Optical Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Precision Instruments and Optical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2667773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Carbon monoxide (CO) is an important object for atmospheric quality and medical diagnosis, and its trace concentration detection technology has been of great attention. For this purpose, various new detection methods have emerged, such as cavity ring down absorption spectroscopy and cavity enhanced absorption spectroscopy. In this paper, the demand for CO ppm-level trace concentration detection is taken as the traction, and an optical feedback cavity enhanced absorption spectroscopy system with an equivalent noise absorption sensitivity of 7.4×10-10cm-1Hz-1/2 is established to carry out the experiment of near-infrared detection of CO gas concentration. Based on the measurement data of the OF-CEAS system, the minimum measurable CO concentration of the system was inferred to be 1.98 ppm. This system can be developed as a portable respiratory gas diagnostic device and an atmospheric trace gas detection device such as NH3 and CO.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于光反馈腔增强吸收光谱的CO检测
一氧化碳(CO)是大气质量和医学诊断的重要对象,其痕量浓度检测技术一直备受关注。为此,出现了各种新的检测方法,如腔衰荡吸收光谱和腔增强吸收光谱。本文以CO ppm级痕量浓度检测的需求为牵引,建立了等效噪声吸收灵敏度为7.4×10-10cm-1Hz-1/2的光反馈腔增强吸收光谱系统,开展CO气体浓度近红外检测实验。根据of - ceas系统的测量数据,推断该系统的最小可测CO浓度为1.98 ppm。该系统可开发为便携式呼吸气体诊断装置和大气微量气体检测装置,如NH3和CO。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Light field image array generation for 3D printing image based on backward ray tracing Study on laser degumming and non-destructive technology of rubber press valve Thermal integration analysis of optical machines for space-based laser communications Alignment error correction of five-sensor planar cross magnetic gradient tensor system Research on method of avoiding phase unwrapping error in 3D measurement of gray code
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1