[Quality evaluation of indigowoad root and leaf by chemical pattern recognition].
27 samples of indigowoad root and 5 samples of indigowoad leaf from different species and in different habital were collected. The chemical constituents were analyzed by HPLC, and ten original chemical features as a whole obtained. Meanwhile, extrinsic bacteriostasis experiments were carried out for each of the 32 samples. Canonical correlation analysis was applied to the intercorrelation between the chemical and the pharmacologic data, and five chemical features were found to be the effective constituents. In the end, the 32 samples were divided into five classes by the fuzzy clustering technique ISODATA(interachive self-organizing data analysis technique A).
Sun
L
L
Shenyang Pharmaceutical University, Shenyang 110015.
Ning
L
L
Bi
K
K
Luo
X
X
D019607:Brassicaceae / Q000737:chemistry* / Q000145:classification; D002851:Chromatography, High Pressure Liquid; D016000:Cluster Analysis; D004340:Drug Contamination; D004365:Drugs, Chinese Herbal / Q000737:chemistry / Q000494:pharmacology*; D007211:Indoles / Q000032:analysis; D031219:Isatis / Q000737:chemistry* / Q000145:classification; D010363:Pattern Recognition, Automated; D018515:Plant Leaves / Q000737:chemistry; D018517:Plant Roots / Q000737:chemistry; D010946:Plants, Medicinal / Q000737:chemistry / Q000145:classification; D011786:Quality Control
D004365:Drugs, Chinese Herbal; D007211:Indoles; C027185:indirubin