摘要
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. Com- pared with the results by EDTA titration, the established quantitative analysis model for calcium carbonate content showed a good pre- diction 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 rap- id 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.
出处
《中国中药杂志》
CAS
CSCD
北大核心
2014年第2期267-272,共6页
China Journal of Chinese Materia Medica
基金
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)
关键词
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