Quantitative analysis of reaction gases or exhaust using an online process mass spectrometer

Authors

  • Fu-Qiang Wei China Jiliang University, College of Optical and Electronic Technology, Hangzhou, Zhejiang 310018 China
  • Ze-Jian Huang National Institute of Metrology, Technology Innovation Center of Mass Spectrum for State Market Regulation, Center for Advanced Measurement Science, Beijing 100029, China
  • You Jian National Institute of Metrology, Technology Innovation Center of Mass Spectrum for State Market Regulation, Center for Advanced Measurement Science, Beijing 100029, China
  • Xin-Hua Dai National Institute of Metrology, Technology Innovation Center of Mass Spectrum for State Market Regulation, Center for Advanced Measurement Science, Beijing 100029, China
  • Xiang Fang National Institute of Metrology, Technology Innovation Center of Mass Spectrum for State Market Regulation, Center for Advanced Measurement Science, Beijing 100029, China
  • Shang-Zhong Jin China Jiliang University, College of Optical and Electronic Technology, Hangzhou, Zhejiang 310018 China

DOI:

https://doi.org/10.24425/mms.2023.144874

Keywords

online quantitative analysis, mass spectrometers, mathematical models, monitoring

Abstract

Online quantitative analysis of reaction gases or exhaust in industrial production is of great significance to improve the production capacity and process. A novel method is developed for the online quantitative analysis of reaction gases or exhaust using quantitative mathematical models combined with the linear regression algorithm of machine learning. After accurately estimating the component gases and their contents in the reaction gases or exhaust, a ratio matrix is constructed to separate the relevant overlapping peaks. The ratio and calibration standard gases are detected, filtered, normalized, and linearly regressed with an online process mass spectrometer to correct the ratio matrices and obtain the relative sensitivity matrices. A quantitative mathematical model can be established to obtain the content of each component of the reaction gases or exhaust in real time. The maximum quantification error and relative standard deviation of the method are within 0.3% and 1%, after online quantification of the representative yeast fermenter tail gas.

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Published

2023-06-30

How to Cite

Wei, Fu-Qiang, et al. “Quantitative Analysis of Reaction Gases or Exhaust Using an Online Process Mass Spectrometer”. Metrology and Measurement Systems, vol. 30, no. 2, June 2023, pp. 337-51, doi:10.24425/mms.2023.144874.

Issue

Vol. 30 No. 2 (2023)

Section

Articles

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