[Use of FTIR and pattern recognition to determine geographical origins of Chinese medical herbs].
Geographical origin of medical herbs is an important factor of the quality of many traditional Chinese herbal medicines. The objective of this study is to investigate whether FTIR spectroscopy coupled with pattern recognition techniques could effectively discriminate geographical origins of medical herbs. Nearest neighbor method (NNM) and a SVM-based multiclass classifier were employed to discriminate 269 angelicae dahuricae radix (ADR) samples from 4 provinces in China and 380 salviae miltiorrhizae radix (SMR) samples from 6 provinces. A leave-one-out cross-validation accuracy of 99% was achieved by the multiclass classifier. The study shows this classification scheme can be a highly accurate approach for the discrimination of medical herbs of different origins.
Liu
Shu-hua
SH
Department of Automation, Tsinghua University, Beijing 100084, China.
Zhang
Xue-gong
XG
Zhou
Qun
Q
Sun
Su-qin
SQ
D000465:Algorithms; D019661:Apiaceae / Q000737:chemistry / Q000145:classification; D002681:China; D004365:Drugs, Chinese Herbal / Q000032:analysis* / Q000737:chemistry; D005843:Geography; D010363:Pattern Recognition, Automated / Q000379:methods*; D010946:Plants, Medicinal / Q000737:chemistry* / Q000145:classification; D015203:Reproducibility of Results; D027544:Salvia / Q000737:chemistry / Q000145:classification; D013045:Species Specificity; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods*
D004365:Drugs, Chinese Herbal