Zhou Sujuan, Liu Bo, Meng Jiang
Department of Automation, Guangdong University of Technology, Guangzhou, People's Republic of China.
College of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, People's Republic of China.
Pharmacogn Mag. 2017 Jul-Sep;13(51):528-533. doi: 10.4103/0973-1296.211029. Epub 2017 Jul 19.
Raw Moutan cortex (RMC) is an important Chinese herbal medicine. Comprehensive and objective quality evaluation of Chinese herbal medicine has been one of the most important issues in the modern herbs development.
To evaluate and compare the quality of RMC using the weighted gray correlation- Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method.
The percentage composition of gallic acid, catechin, oxypaeoniflorin, paeoniflorin, quercetin, benzoylpaeoniflorin, paeonol in different batches of RMC was determined, and then adopting MATLAB programming to construct the gray correlation-TOPSIS assessment model for quality evaluation of RMC.
The quality evaluation results of model evaluation and objective evaluation were consistent, reliable, and stable.
The model of gray correlation-TOPSIS can be well applied to the quality evaluation of traditional Chinese medicine with multiple components and has broad prospect in application.
The experiment tries to construct a model to evaluate the quality of RMC using the weighted gray correlation- Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method. Results show the model is reliable and provide a feasible way in evaluating quality of traditional Chinese medicine with multiple components.
牡丹皮是一种重要的中药材。中药材的综合客观质量评价一直是现代中药发展中的重要问题之一。
采用加权灰色关联-逼近理想解排序法（TOPSIS法）对牡丹皮的质量进行评价和比较。
测定不同批次牡丹皮中没食子酸、儿茶素、氧化芍药苷、芍药苷、槲皮素、苯甲酰芍药苷、丹皮酚的含量组成，然后采用MATLAB编程构建灰色关联-TOPSIS牡丹皮质量评价模型。
模型评价与客观评价的质量评价结果一致、可靠、稳定。
灰色关联-TOPSIS模型可很好地应用于多成分中药的质量评价，具有广阔的应用前景。
本实验尝试采用加权灰色关联-逼近理想解排序法（TOPSIS法）构建牡丹皮质量评价模型。结果表明该模型可靠，为多成分中药质量评价提供了一种可行的方法。
