NO-CO Monitoring Technique Using Ultraviolet Absorption Spectroscopy and Tunable Diode Laser Absorption Spectroscopy in High-Temperature and High-Pressure.

IF 2.2 3区 化学 Q2 INSTRUMENTS & INSTRUMENTATION Applied Spectroscopy Pub Date : 2025-08-01 Epub Date: 2025-03-18 DOI:10.1177/00037028251324196
Wangzheng Zhou, Xiaowei Qin, Zhenzhen Wang, Yoshihiro Deguchi, Daotong Chong, Junjie Yan
{"title":"NO-CO Monitoring Technique Using Ultraviolet Absorption Spectroscopy and Tunable Diode Laser Absorption Spectroscopy in High-Temperature and High-Pressure.","authors":"Wangzheng Zhou, Xiaowei Qin, Zhenzhen Wang, Yoshihiro Deguchi, Daotong Chong, Junjie Yan","doi":"10.1177/00037028251324196","DOIUrl":null,"url":null,"abstract":"<p><p>The single parameter detection of temperature (H<sub>2</sub>O) is no longer sufficient for the absorption combustion diagnosis. There is a huge demand for simultaneous computed tomography (CT) diagnosis of multi-parameters. This paper studied CO and NO, two representative combustion products based on tunable diode laser absorption spectroscopy (TDLAS) and ultraviolet absorption spectroscopy (UVAS). Different from the research on low detection limits, the absorbance needs to be corrected in high-temperature and high-pressure conditions due to the equipment performance of the CT system. A high-temperature and high-pressure chamber system was applied for the basic absorbance experiment. The corrected absorbance databases of 2325.2/2326.8  nm for CO, and 215/226  nm band for NO were established. The corrected absorbance databases were first compared with the HITRAN and ExoMol databases. The accuracy of the corrected databases was also analyzed by standard gas with 1D detection in the high-temperature and high-pressure chamber and two-dimensional (2D) reconstruction in a customed CT cell. The maximum CO mean relative error (MRE) of the 2D results is 2.75% while the maximum NO MRE is 4.99%. This study provides a basis for research on the CO and NO distribution in high-temperature and high-pressure combustion fields.</p>","PeriodicalId":8253,"journal":{"name":"Applied Spectroscopy","volume":" ","pages":"1206-1217"},"PeriodicalIF":2.2000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spectroscopy","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1177/00037028251324196","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/18 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"INSTRUMENTS & INSTRUMENTATION","Score":null,"Total":0}
引用次数: 0

Abstract

The single parameter detection of temperature (H2O) is no longer sufficient for the absorption combustion diagnosis. There is a huge demand for simultaneous computed tomography (CT) diagnosis of multi-parameters. This paper studied CO and NO, two representative combustion products based on tunable diode laser absorption spectroscopy (TDLAS) and ultraviolet absorption spectroscopy (UVAS). Different from the research on low detection limits, the absorbance needs to be corrected in high-temperature and high-pressure conditions due to the equipment performance of the CT system. A high-temperature and high-pressure chamber system was applied for the basic absorbance experiment. The corrected absorbance databases of 2325.2/2326.8  nm for CO, and 215/226  nm band for NO were established. The corrected absorbance databases were first compared with the HITRAN and ExoMol databases. The accuracy of the corrected databases was also analyzed by standard gas with 1D detection in the high-temperature and high-pressure chamber and two-dimensional (2D) reconstruction in a customed CT cell. The maximum CO mean relative error (MRE) of the 2D results is 2.75% while the maximum NO MRE is 4.99%. This study provides a basis for research on the CO and NO distribution in high-temperature and high-pressure combustion fields.

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
高温高压下紫外吸收光谱与可调谐二极管激光吸收光谱的NO-CO监测技术。
单参数的温度(H2O)检测已不能满足吸收燃烧诊断的需要。多参数计算机断层扫描(CT)的同时诊断需求巨大。本文基于可调谐二极管激光吸收光谱(TDLAS)和紫外吸收光谱(UVAS)对CO和NO这两种具有代表性的燃烧产物进行了研究。与低检出限的研究不同,由于CT系统的设备性能,在高温高压条件下需要对吸光度进行校正。基础吸光度实验采用高温高压实验室系统。CO和NO分别建立了2325.2/2326.8 nm和215/226 nm的校正吸光度数据库。首先将校正后的吸光度数据库与HITRAN和ExoMol数据库进行比较。通过标准气体在高温高压室中进行一维检测,在定制的CT细胞中进行二维(2D)重建,分析了校正后数据库的准确性。二维结果的最大CO平均相对误差(MRE)为2.75%,最大NO相对误差(MRE)为4.99%。本研究为高温高压燃烧场CO和NO分布的研究提供了基础。
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
Applied Spectroscopy
Applied Spectroscopy 工程技术-光谱学
CiteScore
6.60
自引率
5.70%
发文量
139
审稿时长
3.5 months
期刊介绍: Applied Spectroscopy is one of the world''s leading spectroscopy journals, publishing high-quality peer-reviewed articles, both fundamental and applied, covering all aspects of spectroscopy. Established in 1951, the journal is owned by the Society for Applied Spectroscopy and is published monthly. The journal is dedicated to fulfilling the mission of the Society to “…advance and disseminate knowledge and information concerning the art and science of spectroscopy and other allied sciences.”
期刊最新文献
Optimized Infrared Reflection-Absorption Spectroscopy Using Indium Tin Oxide as Thin-Film Supporting Substrates. Non-Destructive Determination of Moisture Content in Husk-On Fresh Corn Using Multichannel Visible-Near-Infrared Spectroscopy Combined with Deep Learning. Surface-Enhanced Raman Spectroscopy as a Low-Cost Alternative for the Indirect Detection of Glyphosate-Based Products. Surface-Enhanced Raman and Two-Dimensional Correlation Spectroscopy for In-Depth Analysis of Solid-Liquid Interface Interactions of Compounds Relevant to Cancer Therapy. Heterospectral Principal Component Analysis Two-Dimensional Correlation Spectrosocpy as a Robust Method for Determining Surface Adsorption Preference.
×
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:604180095
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