Paper
25 January 2000 Spectral characteristics of 254-nm mercury line with consideration for hyperfine structure as applied to quantitative mercury analysis
A. B. Antipov, E. Yu. Genina, V. A. Sapozhnikova
Author Affiliations +
Proceedings Volume 4063, 13th Symposium and School on High-Resolution Molecular Spectroscopy; (2000) https://doi.org/10.1117/12.375376
Event: 13th Symposium and School on High-Resolution Molecular Spectroscopy, 1999, Tomsk, Russian Federation
Abstract
The differential atomic absorption spectroscopy method is widely used both in scientific investigations and analytical applications. Absorption coefficient (absorption cross section) is an individual characteristics of every element therefore it provides for a high selectivity of an analysis. Differential absorption technique allows one to increase the selectivity by means of background absorption correction. In the cases where we should analyze gas mixtures at different pressures, we should take into account an influence of pressure on absorption line contour of the component to be analyzed. In the paper we present an estimation of such an influence. As an example, we consider an influence of pressure of analyzed gas mixture on sensitivity of RGA-11 differential atomic absorption analyzer with Zeeman background correction. This analyzer had been developed at Institute of Optical Monitoring SB RAS. The authors of the report are well experienced in its exploitation under different conditions.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. B. Antipov, E. Yu. Genina, and V. A. Sapozhnikova "Spectral characteristics of 254-nm mercury line with consideration for hyperfine structure as applied to quantitative mercury analysis", Proc. SPIE 4063, 13th Symposium and School on High-Resolution Molecular Spectroscopy, (25 January 2000); https://doi.org/10.1117/12.375376
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KEYWORDS
Mercury

Absorption

Doppler effect

Lamps

Magnetism

Atmospheric sensing

Error analysis

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