中国中药杂志

2014, v.39(02) 267-272

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8种含碳酸盐的矿物类中药近红外定性定量模型的建立
A NIR qualitative and quantitative model of 8 kinds of carbonate-containing mineral Chinese medicines

袁明洋;黄必胜;余驰;刘义梅;陈科力;
YUAN Ming-yang;HUANG Bi-sheng;YU Chi;LIU Yi-mei;CHEN Ke-li;Key laboratory of Ministry of Education on Traditional Chinese Medicine Resource and Compound Prescription & Hubei University of Traditional Chinese Medicine;. The Xiantao Institute for Drug Control;

摘要(Abstract):

该研究探索应用近红外光谱技术对8种含碳酸盐的矿物类中药进行快速鉴别。利用OPUS软件中聚类分析法建立的定性分析模型,可以准确鉴别8种含碳酸盐的矿物类中药。另外,使用偏最小二乘法对其中7种矿物类中药的主要成分碳酸钙含量建立近红外定量分析模型,以EDTA滴定法测定值为参照,当碳酸钙含量为47.61%99.17%时,预测结果的平均相对偏差为0.24%,平均回收率为100.3%。结果表明,该近红外光谱分析模型可以快速准确鉴别8种含碳酸盐类矿物类中药,对其中7种矿物类中药中碳酸钙的含量也可以快速测定,结果准确、可靠。
The aim of this paper is to apply near infrared spectroscopy techniques to construct a rapid identification method for 8 kinds of mineral Chinese Medicines containing carbonates. The qualitative model using clustering analysis method in OPUS software can identify accurately 8 kinds of carbonate-containing mineral Chinese medicines. The near-infrared quantitative model was established by using partial least squares method( PLS) for 7 mineral Chinese Medicines in which main component is calcium carbonate. Compared with the results by EDTA titration,the established quantitative analysis model for calcium carbonate content showed a good prediction result that when the content is between 47. 61%-99. 17%,the average relative deviation of the prediction result is 0. 24% and the average recovery rate was 100. 3%. The results also showed that the model using near infrared spectroscopy can get not only a rapid identification of the 8 mineral Chinese medicines containing carbonates,but also an accurate and reliabe content determination of calcium carbonate for the 7 mineral Chinese medicines which contain the component.

关键词(KeyWords): 近红外光谱法;碳酸盐;矿物类中药;聚类分析;碳酸钙;含量测定
near-infrared spectroscopy;carbonate;mineral Chinese medicines;cluster analysis;determination

Abstract:

Keywords:

基金项目(Foundation): 武汉市2012年高新技术产业发展行动计划生物技术与新医药专项(201260523193)

作者(Authors): 袁明洋;黄必胜;余驰;刘义梅;陈科力;
YUAN Ming-yang;HUANG Bi-sheng;YU Chi;LIU Yi-mei;CHEN Ke-li;Key laboratory of Ministry of Education on Traditional Chinese Medicine Resource and Compound Prescription & Hubei University of Traditional Chinese Medicine;. The Xiantao Institute for Drug Control;

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