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论文摘要

栀子提取和纯化过程的近红外光谱快速检测方法

Near Infrared Spectroscopy for Fast Determination of Geniposide During Extraction and Purification Process

作者:王佳黎(四川大学 化学工程学院);代涛(四川大学 化学工程学院);汪学楷(四川大学 化学工程学院);李晖(四川大学 化学工程学院)

Author:Wang Jiali(College of Chem.Eng.,Sichuan Univ.);Dai Tao(College of Chem.Eng.,Sichuan Univ.);Wang Xuekai(College of Chem.Eng.,Sichuan Univ.);Li Hui(College of Chem.Eng.,Sichuan Univ.)

收稿日期:2012-07-18          年卷(期)页码:2013,45(1):198-201

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:近红外光谱技术;栀子苷;提取;纯化

Key words:near infrared spectroscopy technology;geniposide;extraction;purification

基金项目:

中文摘要

采用近红外光谱分析技术(NIR)以栀子渗漉提取和大孔树脂纯化过程为研究对象,分别研究并建立了过程中栀子苷含量的检测模型,可实现对中药栀子提取和纯化过程栀子苷含量的快速分析。运用偏最小二乘法(PLS)建立模型,提取过程校正模型相关系数R为0.997 47,校正均方差(RMSEC)和验证均方差(RMSEP)分别为0.588和0.536;纯化过程校正模型相关系数R为0.996 40,校正均方差(RMSEC)和验证均方差(RMSEP)分别为0.308和0.298。本方法可用于中药栀子的提取、纯化过程有效成分含量的快速检测。

英文摘要

Near infrared spectroscopy (NIR) technology was used to set up the quantitative model and fast determination of the content of traditional Chinese medicine geniposide extracted with the permeability method and purified using the macroporous resin .With the partial least squares (PLS) method to establish the models,the correlation coefficient (R) ,the root mean square error of calibration (RMSEC) and the root mean square error of prediction (RMSEP) of extracting process mode were 0.997 48,0.588,and 0.536,respectively,and 0.996 40,0.308,and 0.298,respectively,for purification process quantitative model. It was concluded that NIR is a fast method to quantify the effective component content of traditional Chinese medicine gardenia during extracting and purification process.

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