基于量子级联吸收光谱技术的呼气CO检测
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1.浙江师范大学光学信息检测与显示技术重点实验室,浙江 金华321004;2.浙江光电子研究院,浙江 金华321004;3.金华市广福医院,浙江 金华 321000

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国家自然科学基金(No. 62475240);浙江省重点研发项目(No. 2022C03066);金华市重点科技攻关项目(2024-1-075)


Exhaled Breath gas of CO detection based on quantum cascade laser absorption spectroscopy technique
Author:
Affiliation:

1.Key Laboratory of Optical Information Detection and Display Technology of Zhejiang, Zhejiang Normal University, Jinhua 321004, China;2.Zhejiang Institute of Photoelectronics, Jinhua 321004, China;3.Jinhua Guangfu General Hospital, Jinhua 321000, China

Fund Project:

Supported by the National Natural Science Foundation of China (62475240); Key Research and Development of Zhejiang Province (2022C03066) ; Key Science and Technology project of Jinhua City(2024-1-075)

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    摘要:

    呼气CO浓度作为一些疾病诊断的标志物备受关注,目前CO浓度检测仪存在灵敏度低,响应时间慢的问题。因此采用中心波长为4.59 um的量子级联激光器和3.8 m多通池搭建一套基于吸收光谱技术的灵敏度高、响应时间快的呼气CO测量系统。采用直接吸收(DAS)和波长调制(WMS)技术对CO浓度检测分析,得到DAS的线性度为0.998,检测限可达3.68×10^-8(体积比);WMS技术检测在CO浓度小于6×10^-6的线性度为0.998,检测限可达3.00×10^-9。通过Allan方差分析获得了DAS和WMS的最佳积分时间分别为170 s和250 s,对应的探测极限分别为2.00×10^-9和3.00×10^-10。最后对14个志愿者进行呼气CO检测,结果表明可以很好区分吸烟者和非吸烟者,为戒烟门诊判断吸烟者情况提供了科学有效的工具。

    Abstract:

    The concentration of exhaled CO as a biomarker for some diseases has attracted much attention, but CO concentration detectors had issues of low sensitivity and slow response time. Therefore, this paper used a quantum cascade laser with a central wavelength of 4.59 μm and a multi-pass cell of 3.8 m to build a high-sensitivity, fast-response exhaled CO measurement system based on absorption spectroscopy. The CO concentration was detected and analyzed using direct absorption (DAS) and wavelength modulation (WMS) techniques. The linearity of DAS is 0.998, and its detection limit reaches 3.68 × 10^-8. The linearity of WMS detection is 0.998 at CO concentrations below 6×10^-6, with the detection limit reaching 3.00×10^-9. The optimal integration times of 170 s and 250 s for DAS and WMS were obtained by Allan variance analysis, corresponding to detection limits of 2.00 × 10^-9 and 3.00 × 10^-10, respectively. Finally, 14 volunteers were tested for exhaled CO concentrations, and the results show that the system could distinguish between smokers and non-smokers, providing a scientific and effective tool for judging the smoking status of patients in smoking cessation clinics.

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  • 收稿日期:2024-11-15
  • 最后修改日期:2025-03-04
  • 录用日期:2025-03-17
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