Rapid Characterization of Tanshinone Extract Powder by Near Infrared Spectroscopy

被引:7
作者
Luo, Gan [1 ,2 ]
Xu, Bing [1 ,2 ]
Shi, Xinyuan [1 ,2 ]
Li, Jianyu [1 ,2 ]
Dai, Shengyun [1 ,2 ]
Qiao, Yanjiang [1 ,2 ]
机构
[1] Beijing Univ Chinese Med, Beijing 100029, Peoples R China
[2] State Adm Tradit Chinese Med, Key Lab TCM Informat Engn, Beijing 100029, Peoples R China
基金
中国国家自然科学基金;
关键词
CRITICAL QUALITY ATTRIBUTES; NIR SPECTROSCOPY; PARTICLE-SIZE; RAW-MATERIAL; QUANTIFICATION; TABLETS; DRUG; PREDICTION; BLENDS; RAMAN;
D O I
10.1155/2015/704940
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Chemical and physical quality attributes of herbal extract powders play an important role in the research and development of Chinese medicine preparations. The active pharmaceutical ingredients have a direct impact on the herbal extract's efficacy, while the physical properties of raw material affect the pharmaceutical manufacturing process and the final products' quality. In this study, tanshinone extract powders from Salvia miltiorrhiza which are widely used for the treatment of cardiovascular diseases in the clinic are taken as the research object. Both the chemical information and physical information of tanshinone extract powders are analyzed by near infrared (NIR) spectroscopy. The partial least squares (PLS) and least square support vector machine (LS-SVM) models are investigated to build the relationship between NIR spectra and reference values. PLS models performed well for the content of crytotanshinone, tanshinone IIA, the moisture, and average median particle size, while, for specific surface area and tapped density, the LS-SVM models performed better than the PLS models. Results demonstrated NIR to be a valid and fast process analytical technology tool to simultaneously determine multiple quality attributes of herbal extract powders and indicated that there existed some nonlinear relationship between NIR spectra and physical quality attributes.
引用
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页数:9
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