Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/18131
Title: 
Chemometric feature selection and classification of Ganoderma lucidum spores and fruiting body using ATR-FTIR spectroscopy
Authors: 
Keywords: 
Feature selection
Attenuated total reflection Fourier transform infrared spectroscopy
Penalized linear discriminant analysis
Principal component discriminant analysis
Partial least squares discriminant analysis
Issue Date: 
2015
Citation: 
Zhu, Y., & Tan, A. T. L. (2015). Chemometric feature selection and classification of Ganoderma lucidum spores and fruiting body using ATR-FTIR spectroscopy. American Journal of Analytical Chemistry, 6, 830-840. http://dx.doi.org/10.4236/ajac.2015.610079
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.
URI: 
ISSN: 
2156-8251 (print)
2156-8278 (online)
Other Identifiers: 
10.4236/ajac.2015.610079
Website: 
Appears in Collections:Journal Articles

Files in This Item:
File Description SizeFormat 
AJAC-6-830.pdf1.43 MBAdobe PDFView/Open
Show full item record

Page view(s) 20

73
Last Week
0
Last month
3
checked on Nov 17, 2018

Download(s) 20

131
checked on Nov 17, 2018

Altmetric