Acta Optica Sinica, Volume. 42, Issue 21, 2130001(2022)

FeNO Detection Method Based on Highly Sensitive Mid-Infrared Absorption Spectroscopy

Zhihao Zhao1,2, Bing Chen2, Hao Deng2, Guosheng Ma2,3, An Huang2,3, Ying Liu2,3, Ruifeng Kan2、*, and Zhenyu Yuan1、**
Author Affiliations
  • 1College of Information Science and Engineering, Northeastern University, Shenyang 110000, Liaoning , China
  • 2Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230000, Anhui , China
  • 3University of Science and Technology of China, Hefei 230000, Anhui , China
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    The fractional exhaled nitric oxide (FeNO) is closely related to lung and respiratory diseases. Authorities such as the US Food and Drug Administration (FDA), European Respiratory Society (ERS), and American Thoracic Society (ATS) have successively identified FeNO as an asthma biomarker and listed FeNO as a routine inspection item for respiratory diseases. In order to meet the needs of high-sensitivity monitoring of FeNO, a mid-infrared wavelength modulation laser absorption spectrometer is developed in this paper. The problem of cross interference of CO2 spectral lines is solved by the method of multiple linear regression, and the detection limit of NO reaches 0.12×10-9. The performance of the prototype is calibrated by standard gases with different concentrations, and the linear correlation of the instrument results is 0.994 in the volume fraction range of 0-215×10-9. Finally, the breath samples of volunteers from Xiyuan Hospital of Chinese Academy of Chinese Medical Sciences are measured.

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    Zhihao Zhao, Bing Chen, Hao Deng, Guosheng Ma, An Huang, Ying Liu, Ruifeng Kan, Zhenyu Yuan. FeNO Detection Method Based on Highly Sensitive Mid-Infrared Absorption Spectroscopy[J]. Acta Optica Sinica, 2022, 42(21): 2130001

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    Paper Information

    Category: Spectroscopy

    Received: Feb. 24, 2022

    Accepted: May. 11, 2022

    Published Online: Nov. 4, 2022

    The Author Email: Kan Ruifeng (yuanzhenyu@ise.neu.edu.cn), Yuan Zhenyu (kanruifeng@aiofm.ac.cn)

    DOI:10.3788/AOS202242.2130001

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