Nitric oxide detection using principal component analysis spectral structure matching to the UV derivative spectrum

doi:10.1364/AO.445265

	Nitric oxide detection using principal component analysis spectral structure matching to the UV derivative spectrum
	Fan, Bo-Qiang 1,2; Zhang, Yu-Jun 1; He, Ying 1; You, Kun 1; Yu, Dong-Qi 1,2; Xie, Hao 1,2; Lei, Bo-En 1,2; Liu, Wen-Qing 1
刊名	APPLIED OPTICS
	2022
卷号	61
ISSN号	1559-128X
DOI	10.1364/AO.445265
通讯作者	Zhang, Yu-Jun(yjzhang@aiofm.ac.cn)
英文摘要	Ultraviolet (UV) spectroscopy is widely applied in real-time environmental monitoring, especially in diesel vehicle nitrogen monoxide (NO) emissions. However, in field experiments, UV absorption spectrum may exist for different degrees of drifts. Spectral jitters may exist for various reasons such as optical power variation, electrical signal drift, and the refractive index jitters of the optical path for an extended period of time, which causes the detection system to be calibrated. And the pulse xenon lamps as the UV source are characterized by specific emission lines that interfere in spectral analysis directly. For these problems, we proposed the spectral structure matching method based on principal component analysis (PCA), which was compared with the conventional polynomial fitting method to observe feasibility and variability. Further, the UV derivative spectrum was applied to the system appropriately, due to the variation of the absorption peak, and was only related to the target gas by using the above method. We validated our method experimentally by performing the NO UV detection system with the calibration and the comparison test. The results suggested that the calibration relative error was less than 9% and the measurement relative error was less than 6% for this wide range by the proposed processes, which optimized the interference of spectral structures and fluctuation to the system and therefore provided better monitoring. This study may provide an alternative spectral analysis method that is unaffected on the specific emission lines of lamps and is not limited to the spectral region and the target gas. (C) 2021 Optica Publishing Group
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23010200] ; National Natural Science Foundation of China[62033012] ; Major Subject of Science and Technology of Anhui Province[202003a07020005]
WOS关键词	ABSORPTION SPECTROSCOPY ; GAS ; NO ; REGRESSION ; SO2 ; CO
WOS研究方向	Optics
语种	英语
出版者	OPTICAL SOC AMER
WOS记录号	WOS:000733215600032
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; Major Subject of Science and Technology of Anhui Province
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/126922]
专题	中国科学院合肥物质科学研究院
通讯作者	Zhang, Yu-Jun
作者单位	1.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Environm Opt & Technol, Hefei 230031, Anhui, Peoples R China 2.Univ Sci & Technol China, Hefei 230026, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Fan, Bo-Qiang,Zhang, Yu-Jun,He, Ying,et al. Nitric oxide detection using principal component analysis spectral structure matching to the UV derivative spectrum[J]. APPLIED OPTICS,2022,61.
APA	Fan, Bo-Qiang.,Zhang, Yu-Jun.,He, Ying.,You, Kun.,Yu, Dong-Qi.,...&Liu, Wen-Qing.(2022).Nitric oxide detection using principal component analysis spectral structure matching to the UV derivative spectrum.APPLIED OPTICS,61.
MLA	Fan, Bo-Qiang,et al."Nitric oxide detection using principal component analysis spectral structure matching to the UV derivative spectrum".APPLIED OPTICS 61(2022).