Rapid determination of nine components in the first extraction process of Xingnaojing injection by using ultraviolet spectroscopy.
10.19540/j.cnki.cjcmm.20170907.015
- Author:
Kai-Yi HUANG
1
;
Dan-Ni WEI
1
;
Jin-Yang FANG
1
;
Xi-Yuan LI
1
;
Bin-Jun YAN
1
Author Information
1. College of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou 310053, China.
- Publication Type:Journal Article
- Keywords:
Curcumae Radix;
Gardeniae Fructus;
Xingnaojing injection;
hydrodistillation;
least squares support vector machine;
process analysis;
radial basis function artificial neural network;
ultraviolet spectroscopy
- From:
China Journal of Chinese Materia Medica
2017;42(19):3755-3760
- CountryChina
- Language:Chinese
-
Abstract:
In this study, an analytical method based on ultraviolet spectroscopy was established for the rapid determination of nine components including isophorone, 4-methylene-isophorone, curcumenone, curcumenol, curdione, curzerenone, furanodienone, curcumol and germacrone in the first extraction process of Xingnaojing injection. 166 distillate samples of Gardeniae Fructus and Radix Curcumae were collected in the first extraction process of Xingnaojing injection. The ultraviolet spectra of these samples were collected, and the contents of the nine components in these samples were determined by high performance liquid chromatography. Least squares support vector machine and radial basis function artificial neural network were used to establish the multivariate calibration models between the ultraviolet spectra and the contents of the nine components. The results showed that the established ultraviolet spectrum analysis method can determine the contents of the nine components in the distillates accurately, with root mean square error of prediction of 0.068, 0.147, 0.215, 0.319, 1.01, 1.27, 0.764, 0.147, 0.610 mg•L⁻¹, respectively. This proposed method is a rapid, simple and low-cost tool for the monitoring and endpoint determination of the extraction process of Xingnaojing injection to reduce quality defects and variations.
