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Academic Journal of Materials & Chemistry, 2021, 2(1); doi: 10.25236/AJMC.2021.020102.

Application of Adaptive Iteratively Reweighted Penalized Least Squares Baseline Correction in Oil Spectrometer


Rongwang Xu

Corresponding Author:
Rongwang Xu

Kunshan Soohow Instrument Technology Co., Ltd., Suzhou, China


In order to solve the problem of baseline drift caused by spectral lines of oil spectrometer, an adaptive niteratively reweighted penalized least squares method is proposed to correct the baseline. The oil spectrometer of Kunshan Soohow Instrument Technology Co. Ltd. was used to measure the contents of various elements in the standard oil with four concentrations of 0ppm, 10ppm, 30ppm and 50ppm. The spectral line data collected by the first CCD was processed, and a good baseline correction effect was obtained.


Adaptive iterative weighting, Least square method, Baseline correction, Oil spectrometer

Cite This Paper

Rongwang Xu. Application of Adaptive Iteratively Reweighted Penalized Least Squares Baseline Correction in Oil Spectrometer. Academic Journal of Materials & Chemistry (2021) Vol. 2, Issue 1: 8-12. https://doi.org/10.25236/AJMC.2021.020102.


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