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基于聚类和相似度分析的不同产地芡实的紫外指纹图谱比较研究

Comparison of UV Fingerprints of Euryale Fruit from Different Regions Based on Clustering and Similarity Analysis
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摘要 目的:从整体质量观出发,建立一种紫外指纹技术结合统计学的评价不同产地芡实的品质的新方法。方法:采用紫外可见分光计对芡实蒸馏水、无水乙醇、三氯甲烷和石油醚浸提液进行扫描,然后对紫外光谱进行聚类和相似度分析。结果:芡实药材四种溶剂浸提液在200~400 nm区间的紫外指纹图谱峰形整体较相似,但吸收峰位及其强度有差异。R分别为0.9997~0.5084不等,距离约为0.01或0.02时均能聚成不同类。结论:大多数芡实样品的极性成分和非极性成分组成及含量随产地而发生一定的变化,从而导致R值明显降低,在归类属性分析中有明显的归类趋势。本文建立的方法能准确、客观地反映不同产地芡实的质量情况,适应于芡实药材的真伪鉴定和品质评价,为芡实的整体质量评价和临床合理用药提供依据。 Objective:To establish a new method of evaluate the quality of Euryale ferox from different regions by UV fingerprint technology combining with statistics from the overall quality perspective.Method:The distilled water,anhydrous ethanol,chloroform,and petroleum ether extracts of Euryale fruit was scanned using a UV visible spectrometer,and then the UV spectrum was analyzed by cluster and similarity analysis method.Result:The UV fingerprints in the range of 200~400 nm of four extracts were very similar to each other,but there were differences in the absorption peak position and intensity.The Pearson Corr.was 0.9997~0.5084.When the distance was about 0.01 or 0.02,it could aggregate into different classes.Conclusion:The composition and content of polar and non-polar components in most samples of Euryale ferox vary with the origin,resulting in R value decreases significantly,and there is a clear trend of classification in the analysis of classification attributes.The method established in this article can accurately and objectively reflect the quality situation of Euryale ferox from different regions,and is suitable for the authenticity identification and quality evaluation.It provides a basis for the overall quality evaluation and clinical rational use of Euryale ferox.
作者 张妍琼 曲伟红 袁敏 柳紫娟 曾华荣 赵建国 Zhang Yanqiong;Qu Weihong;Yuan Min;Liu Zijuan;Zeng Huarong;Zhao Jianguo(School of Pharmacy and Life Sciences,Jiujiang University,Jiujiang 332005,China)
出处 《山东化工》 2023年第24期119-123,共5页 Shandong Chemical Industry
基金 九江学院大学生创新创业训练项目(X202111843137) 九江学院本科教学团队建设项目(九院教字〔2022〕59号)。
关键词 芡实 紫外指纹图谱 聚类分析 相似度 euryale ferox UV fingerprint cluster analysis correlation coefficient
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