摘要
目的:应用近红外光谱技术和数据分析软件,对黄芩浸膏中黄芩苷含量进行快速测定。方法:应用偏最小二乘法对黄芩浸膏中黄芩苷的含量建立近红外光谱校正模型。结果:内部交叉验证和外部样品检验集对模型验证结果表明,校正模型中真实值与预测值之间的相关系数(R2)为95.05,内部验证均方差为0.861。结论:近红外漫反射光谱法的运用具有快速方便,结果准确的特点。此方法可以应用于黄芩浸膏中黄芩苷含量的快速检测中,对于其它的药材浸膏中指标成分的测定也有一定的参考价值。
AIM： To determine baicalin of scutellaria-extract rapidly by FT-NIRS and data analysis software. METHODS： The correction model was set up based on partial least square and was used to predict baicalin of scutellaria-extract in the samples. RESULTS： Cross validation and test samples determination showed that the co- rrelation coefficient（ R2） of this correction model was 95.05, the RMSECV was 0.861, respectively. CONCLUSION ： It is fast and convenient. The correction model could be used to predict baicalin of scutellaria-extract rapidly. It can offer reference to content determination of other extracts of Chinese herbs.
出处
《中成药》
CAS
CSCD
北大核心
2009年第9期1375-1378,共4页
Chinese Traditional Patent Medicine
基金
河南省杰出人才计划(084200510017)
河南省重大公益科研项目(081100912500)
关键词
近红外光谱技术
偏最小二乘法
黄芩浸膏
黄芩苷
快速测定
near infrared spectrum
partial least square
scutellaria-extract
baicalin
rapid determination
