Preliminary analysis on spectrum-efficient correlation model for anti-influenza virus of Lonicerae Japonicae Flos by partial least squares method / 中国中药杂志
China Journal of Chinese Materia Medica
; (24): 4650-4654, 2015.
Article
в Zh
| WPRIM
| ID: wpr-250438
Ответственная библиотека:
WPRO
ABSTRACT
Forty batches of Lonicerae Japonica Fse i collected extensively and prepared as the test solution. Their chromatographic fingerprints and anti-influenza virus IC50 value (half maximal inhibitory concentration) were determined respectively. Then Unscrambler software was used, and spectrum-efficient correlation analysis was done for chromatographic fingerprints data and IC50 data by partial least squares regression method, to establish spectrum-efficient correlation model for anti-influenza virus of Lonicerae Japonicae Flos. Then the other 10 batches of Lonicerae Japonicae Flos were used to verify the model and explore the adaptability of this spectrum-efficient correlation model based on partial least squares regression method. The mathematical model obtained R2 of 0.969489 and RM-SEC of 0.070691 for calibration set; R2 of 0.959042 and RMSECV of 0.084005 for cross validation set. The verification experiment results showed that the relative error between the predicted values and measured values was within 10% in all 10 hatches, and within 5% in 80% of them. The results showed that the established spectrum-efficient correlation model could be used to evaluate the biological activity of anti-influenza virus of Lonicerae Japonicae Flos by determining its HPLC fingerprints.
Полный текст:
1
База данных:
WPRIM
Основная тема:
Antiviral Agents
/
Orthomyxoviridae
/
Pharmacology
/
Drugs, Chinese Herbal
/
Molecular Structure
/
Least-Squares Analysis
/
Chemistry
/
Chromatography, High Pressure Liquid
/
Lonicera
/
Flowers
Тип исследования:
Prognostic_studies
Язык:
Zh
Журнал:
China Journal of Chinese Materia Medica
Год:
2015
Тип:
Article