Journal
ANALYTICAL METHODS
Volume 6, Issue 12, Pages 4402-4407Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/c4ay00068d
Keywords
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Funding
- Chongqing Key Scientific and Technological Program Project of China [cstc2012ggC70002]
- National Natural Science Foundation of China [21207165]
- CAS [KZCX2-XB3-14]
- West Light Foundation of Chinese Academy of Sciences
- Bureau of Chongqing Human Resource and Social Security [2012004]
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Baseline shifts exist in many types of Raman spectrometers. Acquired spectra normally contain the desired signals as well as undesirable elements such as background noise. In this paper, an improved asymmetric least squares (IAsLS) method has been proposed for the baseline correction of Raman spectra. The baseline correction algorithm is initiated by the raw spectrum baseline, and this baseline can be estimated using a polynomial fitting method. For the simulated Raman spectra, the performance of the proposed algorithm was evaluated and compared with the asymmetric least squares (AsLS) method and Jiang's method. The results showed that it is improved by sixteen fold and nine fold respectively. This proposed IAsLS method was successfully applied to practical Raman spectral data and the results in the paper indicate that the baseline of Raman spectra can be automatically subtracted.
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