TITLE:
Chemometric Feature Selection and Classification of Ganoderma lucidum Spores and Fruiting Body Using ATR-FTIR Spectroscopy
AUTHORS:
Ying Zhu, Augustine Tuck Lee Tan
KEYWORDS:
Feature Selection, Attenuated Total Reflection Fourier Transform Infrared Spectroscopy, Penalized Linear Discriminant Analysis, Principal Component Discriminant Analysis, Partial Least Squares Discriminant Analysis
JOURNAL NAME:
American Journal of Analytical Chemistry,
Vol.6 No.10,
September
24,
2015
ABSTRACT: Ganoderma lucidum(G. lucidum) spores as a valuable Chinese herbal medicine have vast marketable
prospect for its bioactivities and medicinal efficacy. This study aims at the development
of an effective and simple analytical method to distinguish G. lucidum spores from its fruiting body,
which is of essential importance for the quality control and fast discrimination
of raw materials of Chinese herbal medicine. Attenuated total reflection Fourier
transform infrared (ATR-FTIR) spectroscopy combined with the appropriate chemometric
methods including penalized discriminant analysis, principal component discriminant
analysis and partial least squares discriminant analysis has been proven to be a
rapid and powerful tool for discrimination of G. lucidum spores and its fruiting body with classification accuracy
of 99%. The model leads to a well-performed selection of informative spectral absorption
bands which improve the classification accuracy, reduce the model complexity and
enhance the quantitative interpretations of the chemical constituents of G. lucidum spores regarding its anticancer
effects.