首页 | 官方网站   微博 | 高级检索  
     

应用聚类判别分析方法评价安宫牛黄丸的质量
引用本文:李荣士,孙毓庆.应用聚类判别分析方法评价安宫牛黄丸的质量[J].沈阳药科大学学报,1987(1).
作者姓名:李荣士  孙毓庆
作者单位:沈阳医药学院分析化学教研室 (李荣士),沈阳医药学院分析化学教研室(孙毓庆)
摘    要:本文应用聚类判别分析的多元统计方法,对十二个厂家生产的安宫牛黄丸进行了综合质量评价。通过气相色谱法、紫外-可见二阶导数光谱法、薄层扫描法、显微镜检等方法获得判别指标,以Bayes准则的逐步判别分析方法将诸厂家生产的安宫牛黄丸分为优、中、劣三级。判别结果较为切合实际。实践证明,在多指标的情况下,利用此方法,可以克服经验鉴别的主观性和片面性,比较客观地反映中成药的内在质量。

关 键 词:聚类判别分析  质量评价  安宫牛黄丸  电子计算机

APPLICATION OF CLUSTER AND DISCRIMINANT ANALYSIS TO QUALITY EVALUATION OF ANGONG NIUHUANG BOLUS
Li Rongshi Sun Yuqing.APPLICATION OF CLUSTER AND DISCRIMINANT ANALYSIS TO QUALITY EVALUATION OF ANGONG NIUHUANG BOLUS[J].Journal of Shenyang Pharmaceutical University,1987(1).
Authors:Li Rongshi Sun Yuqing
Affiliation:Li Rongshi Sun Yuqing Department of Analytical Chemistry
Abstract:The quality of the bolus of Angong Niuhuang from twelve factories was comprehensively estimated by a method of multiple statistics cluster and discriminant analysis. The discriminant indices were obtained by means of gas chromatography, 2nd-derivative ultraviolet-visible spectrometry, thin layer chromatography densitometry and microscopy. Three grades (good, middling, poor) were proposed by using Bayes discriminant analysis. The discriminant results proved quite objective. In case of the existence of multiple indices subjective and biased estimation could be avoided if this method was used.
Keywords:Cluster and discriminant anaiysis  Quality evaluation  Angong Niuhuang Bolus  Computer  
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号