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.
Artículo
en Chino
| WPRIM
| ID: wpr-250438
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.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Antivirales
/
Orthomyxoviridae
/
Farmacología
/
Medicamentos Herbarios Chinos
/
Estructura Molecular
/
Análisis de los Mínimos Cuadrados
/
Química
/
Cromatografía Líquida de Alta Presión
/
Lonicera
/
Flores
Tipo de estudio:
Estudio pronóstico
Idioma:
Chino
Revista:
China Journal of Chinese Materia Medica
Año:
2015
Tipo del documento:
Artículo
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