Wavelength Drift Correction Method Based on Energy Redistribution

doi:10.7503/cjcu20190144

Abstract

Abstract: In the field of atomic spectral analysis, wavelength stability has a great influence on the results of qualitative and quantitative analysis. In order to solve the problem of wavelength drift, an algorithm for implementing wavelength drift correction based on energy redistribution principle was proposed. The energy density distribution was estimated with a modified parabolic interpolation method, the optimal offset was determined by making use of the similarity of the spectra as the indicator, and then the spectral intensity was recalculated according to the optimal offset and energy density distribution, finally sub-pixel level wavelength drift correction was achieved. The proposed algorithm was verified with spectral data obtained from fiber optic spectrometer and sequential scanning spectrometer. As a result, the background noise of Eu is reduced to about 48% and the signal stability of Mo is improved from 20% to 5%. This algorithm is very suitable for the spectra with structured features, and it will help to improve the accuracy of atomic spectral analysis without peak-searching algorithm.

Key words: Wavelength drift correction, Atomic emission spectrometry, Energy redistribution

CLC Number:

O657.31

TrendMD:

YU Bingwen, JIN Wei, JIN Qinhan, LIU Xu, LI Xiaodong. Wavelength Drift Correction Method Based on Energy Redistribution[J]. Chem. J. Chinese Universities, 2019, 40(8): 1600.

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