摘要
目的:提出一种快速测定布渣叶浸出物含量的新方法。方法:运用偏最小二乘法(PLS)建立紫外光谱(UV)与浸出物含量测定值之间的多元校正模型,对未知样品进行含量预测。结果:校正模型相关系数(R2)为0.964 1。验证集预测平均相对偏差为1.73%。结论:PLS-UV法具有分析速度快、预测结果准确等优点,适合对组成复杂的中药浸出物进行快速分析,可用于布渣叶药材浸出物的快速测定。
Objective： To develop a novel method for fast determination of extracts content in Microctis Folium with PLS-UV Spectrophotometry. Method： Multivariate calibration model based on PLS algorithm was developed to correlate the spectra and the corresponding values determined by the reference method. Result： The correlation coefficient （ R2 ） of the calibration models was 0. 964 1, and the prediction average relative deviation for extracts content were 1.73%. Conclusion： PLS-UV technique used in this study is timesaving and accuracy. It is qualified to rapidly analyze the extracts content of traditional Chinese medicine whose components are complex. PLS-UV can be used to determine the extracts content of Microctis Folium.
出处
《中国实验方剂学杂志》
CAS
北大核心
2014年第11期62-65,共4页
Chinese Journal of Experimental Traditional Medical Formulae
基金
广东省中医药局项目(20111131号)
广东省中医药局项目(20121242号)广东省重大科技专项(2012A080202016)
关键词
偏最小二乘法
紫外分光光度法
布渣叶
浸出物
Partial Least Squares
UV spectrophotometry
Microctis Folium
extracts
