Tastes of Herbal Medicine Affecting on Principal Tastes (Ya Rot Prathan) Classification: A Discriminant Analysis

Main Article Content

Thanutchaporn Nutmakul


The objectives of this study are to find out the tastes of herbal medicine that are important in discriminating
principal tastes of herbal formulas, or Ya Rot Prathan, by using Discriminant Analysis. Nineteen herbal formulas were selected from the National List of Essential Medicine B.E. 2561 and divided into 3 groups depending on Ya Rot Prathan: (1) Cold (6 formulas), (2) Sukhum (5 formulas), (3) Hot (8 formulas). The tastes of each herbal medicine were scored for calculation of a ratio of each taste in the formula. The result showed that most of the formulas in the Cold group had a ratio of bitter or bland tastes higher than the others. While the Sukhum group had a bitter, spicy and fragrant taste with a ratio of approximately 20-30% in the formula and a slightly sweet taste. The hot group had ratio of spicy of more than 40% in the formula. The important discriminant factors were sweet, spicy and fragrant tastes. Each score of these tastes were replaced in Fisher’s linear discriminant equations. These established equations can discriminate principal tastes from the selected herbal formulas, and the accuracy is as high as 94.7%. The obtained results not only provide a new method to discriminate principal tastes, but also help to further understand Thai traditional medicine formulations and clearly see a relationship between herbal tastes and a formula’s properties.


Download data is not yet available.

Article Details

Original Articles


1. Traditional Medical School of Wat Phra Chetuphon Vimolmangklararm Rachaworamahawihan. Tamra Pramual Lak Phesat Bangkok: Nam-akson Kanphim; 1985. (in Thai)
2. Phraya Phitsanuprasatvej. Textbook of medicine (Wetsueksa Phaetsart Sangkheb). Vol. 1, 2, 3. Bangkok: Supphakanchamroon; 1908. (in Thai)
3. Division of Art of Healing. Office of the Permanent Secretary for Public Health. General Traditional Medical textbooks (pharmacy). Bangkok: The agricultural Co-operative federation of Thailand; 1998. (in Thai)
4. National Drug Development Commitee. National list of essential medicine B.E. 2561 (2018) [cited 2019 Feb 7]. Available from: https://www.fda.moph.go.th/sites/drug/Shared%20Documents/New/nlem2561.PDF
5. Department of Thai Traditional and Alternative Medicine. Monographs of selected Thai materia medica volume 1. Bangkok: Amarin Printing and Publishing Public Company Limited; 2008. (in Thai)
6. Department of Thai Traditional and Alternative Medicine. Monographs of selected Thai materia medica volume 2. Bangkok: Amarin Printing and Publishing Public Company Limited; 2015. (in Thai)
7. Department of Thai Traditional and Alternative Medicine. Monographs of selected Thai materia medica volume 3. Bangkok: Amarin Printing and Publishing Public Company Limited; 2017. (in Thai)
8. WatPo Thai Traditional Medical School Alumni. Pramual Suppakun Ya Thai. Bangkok: WatPo Thai Traditional Medical School; 1978. (in Thai)
9. Temsiririrkkul R, Chuakul W, Bongcheewin B, Pongkitwitoon B, Boonpleng A, Boonpleng U. Thai materia medica in household remedy. Bangkok: Department of Pharmaceutical Botany, Faculty of Pharmacy, Mahidol University; 2014. (in Thai)
10. Picheansoonthon C, Jirawongse V. The handbook of Thai traditional pharmacy vol. 5 Khna Phesach. Bangkok: Amarin; 2005. (in Thai)
11. Nualkaew S, editors. Guideline for physical diagnosis and treatment by method of Applied Thai Traditional Medicine. 1st ed. Bangkok: D.A. Printing; 2012. (in Thai)
12. Jun G, Junlong D, Jiafu T, Lin Z, Maoxin L, editors. A method to discover compatibility regulation of Chinese herbs based on the combination of clustering analysis and herbs nature. 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems; 2010 Oct 29-31; 2010.
13. Vanichbuncha K. Discriminant Analysis. Statistics for research. 12 ed. Bangkok: University Chulalongkorn Book Center; 2018. (in Thai)
14. Wang S, Ma HQ, Sun YJ, Qiao CD, Shao SJ, Jiang SX. Fingerprint quality control of Angelica sinensis (Oliv.) Diels by high-performance liquid chromatography coupled with discriminant analysis. Talanta. 2007;72(2):434-6.
15. Yu C, Wang CZ, Zhou CJ, Wang B, Han L, Zhang CF, Yuan CS. Adulteration and cultivation region identification of American ginseng using HPLC coupled with multivariate analysis. J Pharm Biomed Anal. 2014;99:8-15.