TY - GEN
T1 - Discrimination of Patchoulis of different geographical origins with two-dimensional IR correlation spectroscopy and wavelet transform
AU - Zhan, Daqi
AU - Sun, Suqin
AU - CHEUNG, Yiu Ming
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2005
Y1 - 2005
N2 - Patchouli is a common used traditional Chinese herbal medicine for flatulence or vomit with a long history in China and some other Asian countries. Patchoulis of different geographical origins usually have different curative effects. In order to evaluate their qualities, it's very necessary to discriminate them. Our objective of this study is to develop a nondestructive and accurate identification method. The results in this paper showed that it's difficult to use conventional infrared spectra and second derivative spectra directly to distinguish them. But it's quite easy to use two-dimensional infrared (2D IR) correlation spectra, especially after applying wavelet transform process, to discriminate them. The resolution of the 2D IR spectrum is improved obviously after wavelet transform process, more peaks appear and the peaks become quite clear and separate. The differences of the 2D IR spectra become rather remarkable. In this way, it's not difficult to discriminate the patchoulis of different geographical origins. This will be a nondestructive, economical and rapid way to distinguish complicated mixture like traditional Chinese medicines. Combined 2D IR and wavelet transform, Fourier transform infrared spectroscopy would become more powerful in analysis and discrimination.
AB - Patchouli is a common used traditional Chinese herbal medicine for flatulence or vomit with a long history in China and some other Asian countries. Patchoulis of different geographical origins usually have different curative effects. In order to evaluate their qualities, it's very necessary to discriminate them. Our objective of this study is to develop a nondestructive and accurate identification method. The results in this paper showed that it's difficult to use conventional infrared spectra and second derivative spectra directly to distinguish them. But it's quite easy to use two-dimensional infrared (2D IR) correlation spectra, especially after applying wavelet transform process, to discriminate them. The resolution of the 2D IR spectrum is improved obviously after wavelet transform process, more peaks appear and the peaks become quite clear and separate. The differences of the 2D IR spectra become rather remarkable. In this way, it's not difficult to discriminate the patchoulis of different geographical origins. This will be a nondestructive, economical and rapid way to distinguish complicated mixture like traditional Chinese medicines. Combined 2D IR and wavelet transform, Fourier transform infrared spectroscopy would become more powerful in analysis and discrimination.
UR - http://www.scopus.com/inward/record.url?scp=33646850574&partnerID=8YFLogxK
U2 - 10.1007/11596448_143
DO - 10.1007/11596448_143
M3 - Conference proceeding
AN - SCOPUS:33646850574
SN - 3540308180
SN - 9783540308188
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 965
EP - 972
BT - Computational Intelligence and Security - International Conference, CIS 2005, Proceedings
T2 - International Conference on Computational Intelligence and Security, CIS 2005
Y2 - 15 December 2005 through 19 December 2005
ER -