| 论文标题 |
Identification and treatment approach for spectral baseline distortion in processing of gas analysis online by Fourier transform infrared spectroscopy |
| 作者 |
Xiaojun Tang, Feng Zhang, Wenjing Wang, Chunrui Tang, Yuntao Liang, Fuchao Tian, |
| 发表/完成日期 |
2018-03-15 |
| 期刊名称 |
Spectroscopy Letters |
| 期卷 |
51(3) |
| 相关文章 |
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| 论文简介 |
Addressing the problem of baseline drift or distortion in Fourier transform infrared spectra when analyzing gas continuously at scene, a novel and simple method is proposed to identify and treat spectral baseline drift. Firstly, the spectral baseline was corrected with the common approach followed by standard gas analysis. Then, absorbance of analytes was reconstructed and reduced from the corrected spectrum. Finally, a Fourier transform was performed with the difference spectrum, and the first four-line strengths were used as feature variables to determine if baseline distortion occurred. In the end of this paper, this approach has been applied in the field of wellhead gas logging with Fourier transform infrared. The application results showed that all the spikes had been removed from the raw logging curves, confirming that this approach could be used to identify spectral baseline distortion accurately. |
(创新港)
