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Journal of Spectroscopy
Volume 2014, Article ID 191796, 9 pages
Research Article

Efficient Discrimination of Some Moss Species by Fourier Transform Infrared Spectroscopy and Chemometrics

1College of Life Science, Hebei Normal University, Shijiazhuang 050024, China
2Hebei Women’s Vocational College, Shijiazhuang 050091, China
3Department of Biology, Jiaozuo Teachers College, Jiaozuo 454001, China

Received 21 March 2014; Revised 26 June 2014; Accepted 29 June 2014; Published 14 July 2014

Academic Editor: Feride Severcan

Copyright © 2014 Zhen Cao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Fourier transform infrared spectroscopy (FTIR) technique was used to classify 16 species from three moss families (Mielichhoferiaceae, Bryaceae, and Mniaceae). The FTIR spectra ranging from 4000 cm−1 to 400 cm−1 of the 16 species were obtained. To group the spectra according to their spectral similarity in a dendrogram, cluster analysis and principal component analysis (PCA) were performed. Cluster analysis combined with PCA was used to give a rough result of classification among the moss samples. However, some species belonging to the same genus exhibited very similar chemical components and similar FTIR spectra. Fourier self-deconvolution (FSD) was used to enhance the differences of the spectra. Discrete wavelet transform (DWT) was used to decompose the FTIR spectra of Mnium laevinerve and M. spinosum. Three scales were selected as the feature extracting space in the DWT domain. Results showed that FTIR spectroscopy combined with DWT was suitable for distinguishing different species of the same genus.