Improved polynomial iterative fitting algorithm for baseline correction in infrared spectroscopy

MA Heng; WANG Zhi-bin; ZHANG Ji-long; ZHAO Dong-e; CHEN Yuan-yuan

doi:10.7510/jgjs.issn.1001-3806.2013.02.021

LASER TECHNOLOGY > 2013 > 37(2): 223-226. > DOI: 10.7510/jgjs.issn.1001-3806.2013.02.021

MA Heng, WANG Zhi-bin, ZHANG Ji-long, ZHAO Dong-e, CHEN Yuan-yuan. Improved polynomial iterative fitting algorithm for baseline correction in infrared spectroscopy[J]. LASER TECHNOLOGY, 2013, 37(2): 223-226. DOI: 10.7510/jgjs.issn.1001-3806.2013.02.021

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Improved polynomial iterative fitting algorithm for baseline correction in infrared spectroscopy

1.
Engineering Technology Research Center of Shanxi Province for Opto-Electronic Information and Instrument, North University of China, Taiyuan 030051, China;
2.
Key Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, China

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Received Date: June 13, 2012
Revised Date: August 15, 2012
Published Date: March 24, 2013

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Baseline correction is an important preprocessing step before subsequent data processing of Fourier transform infrared (FTIR) spectra. Polynomial iterative fitting is one of the methods of baseline correction. In order to improve the speed of baseline correction, taking CO2 spectrum as example, an improved polynomial iterative fitting algorithm was used for theoretical analysis and experimental verification and the same correction result was achieved with polynomial iterative fitting algorithm.The algorithm automatically identify the range of peaks for baseline correction, reducing the number of iterations in the process of baseline correction. The number of iterations decreased from 39 to 11, the elapsed time reduced from 4.78s to 1.12s. The result is great significant for real-time gas monitoring systems.

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