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Year : 2017  |  Volume : 13  |  Issue : 51  |  Page : 528-533

Quality evaluation of raw moutan cortex using the ahp and gray correlation-TOPSIS Method

1 Department of Automation, Guangdong University of Technology, Guangzhou; College of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, People's Republic of China
2 Department of Automation, Guangdong University of Technology, Guangzhou, People's Republic of China
3 College of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, People's Republic of China

Correspondence Address:
Jiang Meng
College of Traditional Chinese Medicine of Guangdong Pharmaceutical University, Guangzhou Higher Education, Mega Center, Guangzhou
People's Republic of China
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0973-1296.211029

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Background: 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. Objective: 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. Materials and Methods: 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. Results: The quality evaluation results of model evaluation and objective evaluation were consistent, reliable, and stable. Conclusion: 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.

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