基于熵权TOPSIS模型和灰色关联度分析的土茯苓质量评价

目的 用熵权TOPSIS模型和灰色关联度法,探究2种颜色规格土茯苓的多元指标质量差异。方法 采用UHPLC测定32批土茯苓落新妇苷的含量,并测定水分、醇浸出物和水浸出物的含量,借助熵权法、灰色关联度法以及熵权结合灰色关联度法构建质量指标的综合评价模型。测定饮片的色度值,并计算与指标含量的相关性。结果 3种评价方法的排序结果基本一致,红棕色土茯苓的质量高于类白色土茯苓。色度相关性研究表明,样品颜色越深,质量较好。结论 所建立的方法结合2种评价模型的特点,可为土茯苓品质研究提供一定的研究基础。

Quality Evaluation of Smilacis Glabrae Rhizome Based on Entropy-weight TOPSIS Model and Grey Correlation Analysis

OBJECTIVE To differentiate the multiple-index quality between the Smilacis Glabrae Rhizome with two different colors by means of entropy-weight TOPSIS model and grey relation analysis. METHODS UHPLC was applied to determine the contents of astilbin in 32 batches of Smilacis Glabrae Rhizome, while contents of moisture, ethanol-soluble extractives and water-soluble extractives were detected as well. Meanwhile, a comprehensive assessment pattern for quality indexes was established by the use of entropy-weight method, grey relation analysis and their combination. And colorimetric values were measured to be linked to contents of the indexed-components evaluated by relativity for the medicinal pieces. RESULTS Three kinds of valuation methods turned out to perform primarily consistent ranking results, and red-cross-section Smilacis Glabrae Rhizome was tentatively better than the white ones in terms of quality. Moreover, as indicated by research on chromaticity and relativity, those in darker shade possessed higher quality mass. CONCLUSION The valuation models are constructed with integration of both of their characters, which can provide certain research base for the effective substances and its quality of Smilacis Glabrae Rhizome.