Bai Yan, Zhang Wei, Wang Xing
Henan University of Traditional Chinese Medicine, Zhengzhou 450008, China.
Zhongguo Zhong Yao Za Zhi. 2010 Jan;35(2):166-8. doi: 10.4268/cjcmm20100209.
To determine the content of baicalin in Yinhuang granules fastly from different pharmaceutical factories with near-infrared spectroscopy.
Near-infrared diffuse reflectance spectroscopy technology was used to collect NIR spectra of Yinhuang granules. With HPLC anilysis values as reference, the fast determination method of baicalin was established with partial least squares (PLS).
The correlation coefficients (R2), the root-mean-square error of cross-validation and the root-mean-square error of calibration (RMSEC) of the calibration model for baicalin were 0.9982, 0.1899 and 0.0514, respectively; the root-mean-square error of prediction (RMSEP) and the average rate of recovery were 0.0802 and 104.27%.
The method is accurate, fast and simple, and can be applied for the fast determination of large quantities of numbers of samples.
采用近红外光谱法快速测定不同药厂生产的银黄颗粒中黄芩苷的含量。
运用近红外漫反射光谱技术采集银黄颗粒的近红外光谱。以高效液相色谱分析值为参照，采用偏最小二乘法（PLS）建立黄芩苷的快速测定方法。
黄芩苷校准模型的相关系数（R2）、交叉验证均方根误差和校准均方根误差（RMSEC）分别为0.9982、0.1899和0.0514；预测均方根误差（RMSEP）和平均回收率分别为0.0802和104.27%。
该方法准确、快速、简便，可用于大量样品的快速测定。
