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基于2.3μm二极管激光器的多梳状光反馈腔增强吸收光谱法对SF分解成分CO进行高灵敏度和高精度分析。

Highly Sensitive and Precise Analysis of SF Decomposition Component CO by Multi-comb Optical-feedback Cavity Enhanced Absorption Spectroscopy with a 2.3 μm Diode Laser.

作者信息

Wan Fu, Zhou Feng, Hu Jin, Wang Pinyi, Wang Jianxin, Chen Weigen, Zhu Chengzhi, Liu Ye

机构信息

State Key Laboratory of Power Transmission Equipment &System Security and New Technology, Chongqing University, Chongqing, 400044, P.R. China.

College of Materials Science and Engineering, Chongqing University, Chongqing, 400044, P.R. China.

出版信息

Sci Rep. 2019 Jul 4;9(1):9690. doi: 10.1038/s41598-019-46190-z.

DOI:10.1038/s41598-019-46190-z
PMID:31273293
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6609691/
Abstract

A ppb-level CO sensor based on multi-comb optical-feedback cavity enhanced absorption spectroscopy with a 2.3 μm diode laser was developed for SF decomposition analysis in electric power system. The effective optical path reached to 4.5 km within 35 cm length cavity. Besides, through modulating the cavity length five times automatically, the spectral resolution was improved to 0.0015 cm from 0.0071 cm. Targeting the R(6) line of CO first overtone band at 4285.01 cm, which is interference free from absorption spectra of SF mixtures (SF, SO, HS, SOF, HF, CF, CO, COS, O and HO), the minimum detection limit and detection precision under different gas pressures were performed. At optimum integration time of 30 s determined by Allan deviation analysis and gas pressure of 40 torr, the minimum detection limit and detection precision of CO were better than 18 ppb and 150 ppt, respectively.

摘要

基于多梳状光反馈腔增强吸收光谱技术、采用2.3μm二极管激光器开发了一种用于电力系统中SF分解分析的皮克级CO传感器。在35cm长的腔内有效光程达到了4.5km。此外,通过自动五次调制腔长,光谱分辨率从0.0071cm提高到了0.0015cm。针对CO第一泛音带在4285.01cm处的R(6)线,其不受SF混合物(SF、SO、HS、SOF、HF、CF、CO、COS、O和HO)吸收光谱的干扰,在不同气压下进行了最低检测限和检测精度的测试。通过艾伦偏差分析确定的最佳积分时间为30s,气压为40托时,CO的最低检测限和检测精度分别优于18ppb和150ppt。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/6609691/ad531f3d4448/41598_2019_46190_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/6609691/812a087d8a85/41598_2019_46190_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/6609691/562326f8760f/41598_2019_46190_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/6609691/ec65df277b7d/41598_2019_46190_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/6609691/9b5faf123252/41598_2019_46190_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/6609691/cd22f32a9987/41598_2019_46190_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/6609691/de46329310da/41598_2019_46190_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/6609691/ad531f3d4448/41598_2019_46190_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/6609691/812a087d8a85/41598_2019_46190_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/6609691/562326f8760f/41598_2019_46190_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/6609691/ec65df277b7d/41598_2019_46190_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/6609691/9b5faf123252/41598_2019_46190_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/6609691/cd22f32a9987/41598_2019_46190_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/6609691/de46329310da/41598_2019_46190_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82fc/6609691/ad531f3d4448/41598_2019_46190_Fig8_HTML.jpg

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