Quality Evaluation of Curcumae Radix from Different Areas Based on Grey Correlation Degree and TOPSIS Fusion Model

Na ZHANG; Wei-feng WENG; Kun-sheng WEI; Chun HUANG; Qiong WANG

doi:10.13422/j.cnki.syfjx.20200215

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Quality Evaluation of Curcumae Radix from Different Areas Based on Grey Correlation Degree and TOPSIS Fusion Model

Resource and Quality Evaluation | 更新时间：2021-02-09

- Quality Evaluation of Curcumae Radix from Different Areas Based on Grey Correlation Degree and TOPSIS Fusion Model
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 26, Issue 3, Pages: 137-145(2020)
- 作者机构：
  
  1.中山火炬职业技术学院，广东中山　 528436
  2.国家中药现代化工程技术研究中心，广东中山　 528436
  3.吉林大学　珠海学院，广东珠海　 519000
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.20200215
  CLC： R284.2; R289; R22; R2-031
- Received：12 June 2019，
  
  Published Online：12 October 2019，
  
  Published：05 February 2020
- 稿件说明：
移动端阅览
Na ZHANG, Wei-feng WENG, Kun-sheng WEI, et al. Quality Evaluation of Curcumae Radix from Different Areas Based on Grey Correlation Degree and TOPSIS Fusion Model[J]. Chinese journal of experimental traditional medical formulae, 2020, 26(3): 137-145.
DOI：

Na ZHANG, Wei-feng WENG, Kun-sheng WEI, et al. Quality Evaluation of Curcumae Radix from Different Areas Based on Grey Correlation Degree and TOPSIS Fusion Model[J]. Chinese journal of experimental traditional medical formulae, 2020, 26(3): 137-145. DOI： 10.13422/j.cnki.syfjx.20200215.

摘要

目的：

研究不同产地广西郁金及引种郁金的质量，旨在筛选广西郁金优良种源，以提高郁金药材的整体质量评价水平。

方法：

选择醇溶性浸出物、吉马酮、莪术二酮、挥发油、总姜黄素和姜黄素为综合评价指标，测定不同产地的50株广西郁金样品中的5种主要成分含量，对不同产地的广西郁金进行聚类分析，并建立广西郁金的灰色关联度与TOPSIS融合模型。

结果：

聚类分析结果表明50株不同产地广西郁金样品可分为四类；基于灰色关联度与TOPSIS融合模型以相对贴近度

γi

为指标综合评价广西郁金质量，编号为YL-2，YL-5，YL-1，YL-4的样品质量最优；不同产地广西郁金样品的平均相对贴近度

γi

排序为玉林

平南

横县

兴业

肇庆

青塘

中山

钦州

贵港

灵山。

结论：

多指标决策分析灰色关联度与TOPSIS融合模型用于广西郁金质量评价，方法简单客观全面，可推广使用，为优质种源的筛选提供了参考依据。

Abstract

Objective:

To study the quality of Curcumae Radix from different areas

in order to screen out excellent provenances to improve the overall quality and stability of Curcumae Radix.

Method:

The volatile oil

alcohol extract

germacrone

germacr-1(10)-ene-5

8-dione and curcumin were selected as comprehensive evaluation indicators to determine the content of five main components in 50 samples of Curcumae Radix from different areas. Cluster analysis was made for Curcumae Radix from different areas of Guangxi

and the fusion models of GRA(grey correlation degree) and TOPSIS (technique for order preference by similarity to ideal solution) of Curcumae Radix were established.

Result:

The results of cluster analysis indicated that 50 samples from different areas could be divided into four categories. The fusion models of GRA and TOPSIS were based on relative closeness

γi

as the index to comprehensively evaluated the quality of Curcumae Radix. Samples No. YL-2

YL-5

YL-1

YL-4 were screened out as excellent samples. The average relative closeness

γi

was ranked as follows: Yulin

Pingnan

Hengxian

Xingye

Zhaoqing

Qingtang

Zhongshan

Qinzhou

Guigang

Lingshan.

Conclusion:

The multiple attribute decision making analysis gray correlation degree and TOPSIS fusion models are used to optimize the quality evaluation of Curcumae Radix. The method is simple

objective and comprehensive

which can be promoted and provide a reference for the screening of high-quality provenance.

关键词

Keywords

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