Establishment of a quality evaluation method for Angelica different processed products from genuine producing areas based on data mining / 药学学报
Acta Pharmaceutica Sinica
;
(12): 1155-1159, 2010.
Article
Dans Chinois
| WPRIM
| ID: wpr-353408
ABSTRACT
The paper reports the development of a quality evaluation method for Angelica different processed products. The data of high-performance liquid chromatography, water, total ash and extract were analyzed with SPSS Clementine 11.0 software. Discriminant analysis (DA) established the classification model and parameter for Angelica different processed products. Fish's discriminant functions of Angelica different processed products were generated using 8 predictor variables selected from 59 indexes. The correct rate of discriminating back substitution is 96.7%. Angelica different processed products can be accurately and reliably recognized and validated with DA of SPSS Clementine 11.0 software.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Plantes médicinales
/
Contrôle de qualité
/
Normes de référence
/
Logiciel
/
Médicaments issus de plantes chinoises
/
Chimie
/
Chromatographie en phase liquide à haute performance
/
Racines de plante
/
Angelica
/
Fouille de données
Type d'étude:
Étude pronostique
langue:
Chinois
Texte intégral:
Acta Pharmaceutica Sinica
Année:
2010
Type:
Article
Documents relatifs à ce sujet
MEDLINE
...
LILACS
LIS