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Optics Express

Optics Express

  • Editor: Michael Duncan
  • Vol. 14, Iss. 17 — Aug. 21, 2006
  • pp: 7630–7635

Fast discrimination of traditional Chinese medicine according to geographical origins with FTIR spectroscopy and advanced pattern recognition techniques

Ning Li, Yan Wang, and Kexin Xu  »View Author Affiliations


Optics Express, Vol. 14, Issue 17, pp. 7630-7635 (2006)
http://dx.doi.org/10.1364/OE.14.007630


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Abstract

Combined with Fourier transform infrared (FTIR) spectroscopy and three kinds of pattern recognition techniques, 53 traditional Chinese medicine danshen samples were rapidly discriminated according to geographical origins. The results showed that it was feasible to discriminate using FTIR spectroscopy ascertained by principal component analysis (PCA). An effective model was built by employing the Soft Independent Modeling of Class Analogy (SIMCA) and PCA, and 82% of the samples were discriminated correctly. Through use of the artificial neural network (ANN)-based back propagation (BP) network, the origins of danshen were completely classified.

© 2006 Optical Society of America

OCIS Codes
(070.2590) Fourier optics and signal processing : ABCD transforms
(070.4790) Fourier optics and signal processing : Spectrum analysis
(070.5010) Fourier optics and signal processing : Pattern recognition

ToC Category:
Fourier Optics and Optical Signal Processing

History
Original Manuscript: April 10, 2006
Revised Manuscript: July 4, 2006
Manuscript Accepted: July 5, 2006
Published: August 21, 2006

Virtual Issues
Vol. 1, Iss. 9 Virtual Journal for Biomedical Optics

Citation
Ning Li, Yan Wang, and Kexin Xu, "Fast discrimination of traditional Chinese medicine according to geographical origins with FTIR spectroscopy and advanced pattern recognition techniques," Opt. Express 14, 7630-7635 (2006)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-14-17-7630


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References

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