| 刘宏,戴胜,秦亚东.基于主成分分析和聚类分析评价安徽省地产及全国主产区药材半夏质量[J].井冈山大学自然版,2018,(3):93-97 |
| 基于主成分分析和聚类分析评价安徽省地产及全国主产区药材半夏质量 |
| EVALUATION OF THE QUALITY OF PINELLIA TEMATA IN ANHUI PROVINCE AND OTHER PROVINCES BASED ON PRINCIPAL COMPONENT ANALYSIS AND CLUSTER ANALYSIS |
| 投稿时间：2018-01-17 修订日期：2018-03-22 |
| DOI：10.3969/j.issn.1674-8085.2018.03.019 |
| 中文关键词: 半夏 质量 安徽省 聚类分析 |
| 英文关键词: Pinellia ternata quality Anhui province cluster analysis |
| 基金项目:安徽省教育厅2017年自然科学计划项目（KJ2017A684）；安徽省高校优秀青年人才支持计划项目（gxyq2017209） |
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| 中文摘要: |
| 目的 综合分析、比较、评价皖产半夏和全国主产区半夏质量。方法 比色法、电位滴定法测定安徽及全国主产区半夏氨基酸、有机酸、多糖、蛋白质及生物碱含量，并通过聚类分析和主成分分析对半夏质量进行评价。结果 不同产地半夏药材5类成分含量差异较大。结论 主成分分析和聚类分析适用于半夏药材内在质量特征评价。 |
| 英文摘要: |
| Objective: To evaluate the quality of Pinellia ternata in Anhui Province and the other main production area of China by using comprehensive analysis, comparison and evaluation. Methods: The contents of amino acids, organic acids, polysaccharides, proteins and alkaloids in P. ternata in Anhui and the other main producing areas of China were determined by colorimetry and potentiometric titration, and the quality of P. ternata was evaluated by cluster analysis and principal component analysis. Results: There are significant differences among the contents of 5 kinds of compounds in different areas. Conclusions:The principal component analysis and cluster analysis are suitable for the evaluation of the internal quality characteristics of P. ternata. |
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