基于化学模式识别结合灰色关联度法的鲜地黄药材质量评价

Quality Evaluation of Fresh Rehmannia glutinosa Based on Chemical Pattern Recognition and Grey Correlation Method

目的:构建基于化学模式识别和灰色关联度法的鲜地黄药材多指标综合评价模型,为鲜地黄药材整体质量评价提供参考。方法:收集不同产地的32批鲜地黄药材样品,测定各批样品中总灰分,酸不溶性灰分,浸出物,梓醇、地黄苷D、铅、镉、砷、汞、铜含量与指纹图谱,采用聚类分析(HCA)、主成分分析(PCA)、正交偏最小二乘法-判别分析和灰色关联度法对各指标数据进行分析。结果:HCA和PCA均可将32批鲜地黄药材分为4类,但无明显产地聚集现象;指纹图谱中峰1~3、9、10的峰面积及总灰分、浸出物、梓醇含量是体现各产地鲜地黄药材质量差异的主要指标;32批鲜地黄药材灰色关联度为0.036~0.042,灰色关联度差异为0~13.89%,综合质量差异不大。结论:化学模式识别结合灰色关联度法构建的多指标综合评价模型分析结果客观、科学、准确,可用于鲜地黄药材质量的综合评价。

Objective:The multi-index comprehensive evaluation model of fresh Rehmannia glutinosa was established based on chemical pattern recognition and grey correlation method,aiming to provide a reference for the overall quality evaluation of fresh R.glutinosa.Methods:32 batches of fresh R.glutinosa from different origins were collected.The total ash,acid insoluble ash content,extracts,catalpol,digoxigenin D,lead,cadmium,arsenic,mercury,copper content,and fingerprints of each batch were determined.The data of each index component were analyzed by cluster analysis(HCA),principal component analysis(PCA),orthogonal partial least squares discriminant analysis,and grey correlation method.Results:Both HCA and PCA can roughly divide 32 batches of fresh R.glutinosa into four categories,but there is no obvious origin aggregation.The peak areas of peak 1,peak 2,peak 3,peak 9,and peak 10 in the fingerprints of fresh R.glutinosa,as well as catalpol,total ash,and extract content are the main factors affecting the quality of fresh R.glutinosa from different origins.The floating range of grey correlation of 32 batches of fresh R.glutinosa is 0.036-0.042,and the difference in grey correlation is 0-13.89%,indicating a small comprehensive quality difference.Conclusion:The multi-index comprehensive evaluation model based on chemical pattern recognition combined with grey correlation analysis has objective,scientific,and accurate results,and it can be used for the comprehensive evaluation of the quality of fresh R.glutinosa.