4.5 Article

Two generators to produce SI-traceable reference gas mixtures for reactive compounds at atmospheric levels

期刊

MEASUREMENT SCIENCE AND TECHNOLOGY
卷 28, 期 12, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1361-6501/aa870c

关键词

reference gas mixture; permeation; dynamic dilution; matrix gas; metrological traceability; uncertainty

资金

  1. EURAMET
  2. EMRP within EURAMET
  3. European Union

向作者/读者索取更多资源

To answer the needs of air quality and climate monitoring networks, two new gas generators were developed and manufactured at METAS in order to dynamically generate SI-traceable reference gas mixtures for reactive compounds at atmospheric concentrations. The technical features of the transportable generators allow for the realization of such gas standards for reactive compounds (e.g. NO2, volatile organic compounds) in the nmol.mol(-1) range (ReGaS2), and fluorinated gases in the pmol.mol(-1) range (ReGaS3). The generation method is based on permeation and dynamic dilution. The transportable generators have multiple individual permeation chambers allowing for the generation of mixtures containing up to five different compounds. This mixture is then diluted using mass flow controllers, thus making the production process adaptable to generate the required amount of substance fraction. All parts of ReGaS2 in contact with the gas mixture are coated to reduce adsorption/desorption processes. Each input parameter required to calculate the generated amount of substance fraction is calibrated with SI-primary standards. The stability and reproducibility of the generated amount of substance fractions were tested with NO2 for ReGaS2 and HFC-125 for ReGaS3. They demonstrate stability over 1-4 d better than 0.4% and 0.8%, respectively, and reproducibility better than 0.7% and 1%, respectively. Finally, the relative expanded uncertainty of the generated amount of substance fraction is smaller than 3% with the major contributions coming from the uncertainty of the permeation rate and/or of the purity of the matrix gas. These relative expanded uncertainties meet then the needs of the data quality objectives fixed by the World Meteorological Organization.

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