Quantitative evaluation of baicalin Radix Scutellariae granules by near-infrared spectroscopy
10.13220/j.cnki.jipr.2017.05.015
- Author:
Hai-yan GONG
1
Author Information
1. Henan University of Chinese Medicine
- Publication Type:Journal Article
- Keywords:
High performance liquid chromatography;
Near-infrared spectroscopy;
Partial least squares(PLS);
Quantitative calibration model;
Radix scutellariae granules
- From:
Journal of International Pharmaceutical Research
2017;44(5):466-469
- CountryChina
- Language:Chinese
-
Abstract:
Objective To determine the content of baicalin in Radix Scutellariae granule from different manufacturers using near infrared spectroscopy(NIRS)technology. Methods Utilizing NIRS combined with partial least squares, and simultaneously optimizing the pretreatment methods and the range of spectrum, the quantitative model of baicalin in Radix Scutellarie granules was established. Results In the model correlation coefficient(R2)was 0.9702, root-mean-square error of calibration(RMSEC)was 0.555, and root-mean-square error of predict(RMSEP)was 1.05. Conclusion In this paper, rapid quality analysis method of Radix Scutellariae granules from different manufacturers is studied using NIRS technology. The model can predict the content of baicalin nondestructively and rapidly. It can give some reference for researching the quality control of Radix Scutellariae granules.
