近红外光谱分析技术在赤芍提取过程质量监控中的应用研究  

Study on fast quality control in extracting process of Paeonia lactiflora using near infrared spectroscopy

作　　者：陈雪英[1] 李页瑞[1] 陈勇[1] 王龙虎[1] 孙长海[2] 刘雪松[1] 

机构地区：[1]浙江大学现代中药研究所,浙江杭州310058 [2]天津红日药业有限公司,天津300000

出　　处：《中国中药杂志》2009年第11期1355-1358,共4页China Journal of Chinese Materia Medica

基　　金：国家科技支撑计划项目(2006BAI06A08);浙江省科技计划项目(2007C23023)

摘　　要：目的:建立一种用近红外(NIR)透射光谱法快速测定赤芍水提过程有效成分含量的新方法。方法:以HPLC为对照分析法测定了芍药苷含量,运用偏最小二乘(PLS)法建立NIR光谱与芍药苷HPLC分析值之间多元校正模型,并对未知样本进行含量预测。结果:校正模型相关系数达到0.9962,预测相关系数达到0.9895,其RMSEC和RMSEP分别为0.109,0.138 g.L-1,RSEP为5.6%。结论:本法操作简便、快速无损、准确可靠,可用于中药提取过程有效成分含量的快速监测。Objective： To set up a novel method for fast analysis of active components in water extracting process of Paeonia lactiflora with near infrared spectroscopy （NIRS）. Mothod： HPLC was used as the reference method to determine the content of Paeoniflorin and a multivariate calibration model based on PLS algorithm was developed to analyze the correlation between the spectra and the corresponding values determined by the reference method. Result： The correlation coefficient of the calibration model was 0. 996 2, and the predicted coefficient was 0. 989 5. The RMSEC and RMSEP were 0. 109 g · L^-1 and 0. 138 g· L^-1 , respectively, and the RSEP was 5.6%. Conclusion： The method mentioned above is proved to be convenient, rapid and nondestructive, accurate and reliable, and is applicable for fast analysis and monitoring of active components in extraction process of traditional Chinese medicine.

关 键 词：近红外透射光谱 赤芍 偏最小二乘法 质量监控 

分 类 号：R284[医药卫生—中药学]