High-precision methane isotopic abundance analysis using near-infrared absorption spectroscopy at 100 Torr.

The Analyst
Zhiwei LiuFrank K Tittel

Abstract

A near-infrared methane (CH4) sensor system for carbon isotopic abundance analysis was developed based on laser absorption spectroscopy (LAS). For good thermal stability, two CH4 absorption lines with a similar low-state energy level were selected to realize relative weak temperature dependence. Wavelet denoising (WD) was employed for a pre-treatment of the direct absorption spectral (DAS) signal to perform a preliminary suppression of high-frequency noise. Due to the abnormal 13CH4 profile caused by superimposition of multiple lines, two statistical analysis algorithms including linear regression and neural network prediction were respectively employed on the retrieval of molecule fractions instead of the traditionally used standard absorption line fitting method. Performance assessment and a comparison between the two methods were carried out. Compared with the concentration deducing method based on the maximum absorbance in rough data, the linear regression and the neural network prediction obtained a sensitivity enhancement by ∼2 times and ∼10 times, respectively. A simultaneous measurement of pressure and concentration was performed using the neural network, which indicated a good potential of the technique for multi-param...Continue Reading

References

Oct 25, 2002·Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy·K Yamamoto, N Yoshida
Dec 11, 1959·Science·W D ROSENFELD, S R SILVERMAN
Jan 29, 2009·The Analyst·Stuart G BaranNicola J van Leeuwen
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Aug 9, 2017·Optics Express·Ramin Ghorbani, Florian M Schmidt
Jul 10, 2019·Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy·Sheng ZhouJingsong Li

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Methods Mentioned

BETA
infrared absorption spectroscopy

Software Mentioned

HITRAN
LabVIEW

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