Evidence map›Paper›PMID 40524298›Full record

ArticleJournal of traditional Chinese medicine = Chung i tsa chih ying wen pan2025

Pattern recognition-based analysis of the material basis of five flavors of Chinese herbal medicines in Lamiaceae.

Zhang Chuanyao, Wang Xiao, Shi Gaoxiang, Zhou Qing, B U Feifei, Zhang Xiaojun, Wang Peng

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Article in Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Zhang ChuanyaoSchool of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei 230012, China.
Wang XiaoSchool of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei 230012, China.
Shi GaoxiangSchool of Integrated Chinese and Western Medicine (College of Life Science), Anhui University of Chinese Medicine, Hefei 230012, China.
Zhou QingSchool of Medical Information Engineering, Anhui University of Chinese Medicine, Hefei 230012, China.
B U FeifeiSchool of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei 230012, China.
Zhang XiaojunSchool of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei 230012, China.
Wang PengGraduate School, Anhui University of Chinese Medicine, Hefei 230012, China.

Funding

Anhui Provincial Natural Science Foundation: Research on the Extraction and Identification of Holistic Compositional Characteristics of Warm-Hot Properties of Lamiaceae Herbs 1508085MH202Anhui Provincial Natural Science Research Project of Higher Education: Research on the Material Basis of Cold-Hot Properties of Lamiaceae Herbs based on Pattern Recognition and Energy Metabolism 2023AH050773National Natural Science Foundation of China: Research on the Identification of Cold-Hot Properties in Lamiaceae Herbs based on Infrared Spectroscopy Holistic Component Characteristic Markers 81673622
6 · The paper itself

Abstract

objectiveTo study the correlation between five flavors (Wuwei) and the chemical substances of Chinese herbal medicines in Lamiaceae and to establish five flavors identification models.

methodsA total of 245 herbs belonging to the Lamiaceae family were selected from the Pharmacopoeia of the People's Republic of China 2020 and Chinese Materia Medica. A database of the chemical substances of these herbs was constructed, with the chemical substances obtained from the professional literature and databases. A three-level classification system of the material components was established on the basis of the molecular structure and biosynthetic pathway of these substances. Apriori association rule analysis and feature selection were employed to obtain the material basis of the five flavors. A multiple logistic regression analysis method was employed to establish identification models for the five flavors.

resultsThe association rule analysis revealed 34 high-value groups and 30 specific groups for the main flavors, and 39 high-value groups and 36 specific groups for the combined flavors. Sixteen groups of chemical components were the decisive groups for the main flavors, and 13 groups were the decisive groups for the combined flavors. Multiple logistic regression analysis was used to successfully establish identification models with an overall accuracy of 88.8% for the main flavors and 87% for the combined flavors.

conclusionsFive flavors are often characterized by the interaction of multiple classes of substances, and a single class of substances cannot be used to characterize flavors. The organic combination of multiple classes of substances is the material basis of the five flavors, both the main and combined flavors. Significant differences exist in the material basis of the main and combined flavors, suggesting that the "natural flavor" and "functional flavor" may have different material bases.

Indexed as

Drugs, Chinese HerbalFlavoring AgentsLamiaceaeHumansDrugs, Chinese HerbalFlavoring Agentschemical substancesfive flavorsidentification modelLamiaceaepattern recognition

Identifiers

PMID40524298
PMCPMC12134319

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