黄芩配方颗粒黄芩苷含量近红外光谱测定方法  

Quantitative evaluation of baicalin Radix Scutellariae granules by near-infrared spectroscopy

作　　者：龚海燕[1] 宋瑞丽[2] 雷敬卫[1] 陈志红[1] 谢彩侠[1] 

机构地区：[1]河南中医药大学,郑州450008 [2]郑州铁路职业技术学院,郑州450002

出　　处：《国际药学研究杂志》2017年第5期466-469,共4页Journal of International Pharmaceutical Research

基　　金：河南省重大公益项目(081100912500);河南中医学院苗圃项目(MP2013-32)

摘　　要：目的采用近红外光谱测定方法(NIRS)快速测定黄芩配方颗粒中的黄芩苷。方法运用NIRS与偏最小二乘法相结合,通过优化不同的预处理方法、不同的谱区范围,建立了测定黄芩颗粒剂中指标性成分黄芩苷的定量校正模型。结果建立了黄芩配方颗粒中黄芩苷的近红外模型,定量校正模型的相关系数R^2为0.9702,校正集均方根误差RMSEC为0.555,预测集均方根误差RMSEP为1.05。结论本实验研究了基于NIRS的不同厂家黄芩配方颗粒剂快速质量分析方法,所建模型可无损、快速地预测黄芩苷含量,为黄芩配方颗粒的质量控制提供一定的参考。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（R^2） 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.

关 键 词：近红外光谱测定方法 黄芩配方颗粒 高效液相色谱法 偏最小二乘法 定量校正模型 

分 类 号：O657.33[理学—分析化学] R286.0[理学—化学]