文献类型：期刊文献

英文题名：Spatial variability and climate response characteristics of chemical components of Tussilago farfara L.

作者：Wan, Guang-Zhen[1];Guo, Zhao-Hui[2,3,4];Xi, Shao-Yang[5];Jin, Ling[5];Chen, Juan[1]

第一作者：Wan, Guang-Zhen

通信作者：Chen, J[1];Jin, L[2]

机构：[1]Lanzhou Univ, Sch Pharm, Lanzhou 730000, Peoples R China;[2]Gansu Inst Drug Control, Lanzhou 730000, Peoples R China;[3]State Drug Adm, Key Lab Qual Control Chinese Med Mat & Decoct Piec, Lanzhou 730000, Peoples R China;[4]Gansu Engn Technol Lab Inspection & Testing Chines, Lanzhou 730000, Peoples R China;[5]Gansu Univ Chinese Med, Coll Pharm, Lanzhou 730000, Peoples R China

第一机构：Lanzhou Univ, Sch Pharm, Lanzhou 730000, Peoples R China

通信机构：[1]corresponding author), Lanzhou Univ, Sch Pharm, Lanzhou 730000, Peoples R China;[2]corresponding author), Gansu Univ Chinese Med, Coll Pharm, Lanzhou 730000, Peoples R China.|[1073501e14fb35863569f]甘肃中医药大学药学院（西北中藏药协同创新中心办公室）;[10735]甘肃中医药大学;

年份：2023

卷号：204

外文期刊名：INDUSTRIAL CROPS AND PRODUCTS

收录：;EI(收录号：20233514660763);Scopus(收录号：2-s2.0-85168997686);WOS:【SCI-EXPANDED(收录号:WOS:001076585600001)】；

基金：This work was supported by the Special Foundation for National Science and Technology Basic Resources of China (2018FY100701) ; the 2021 Project of the State Drug Administration-Key Laboratory of Quality Control of Chinese Medicinal Materials and Decoction Pieces, China (2021GSMPAKL12) ; 2021 project of Gansu Medical Products Administration (2021GSMPA008) ; Genuine Ecological Planting and Quality Assurance Project of China (2022030014) .r Control of Chinese Medicinal Materials and Decoction Pieces, China (2021GSMPAKL12) ; 2021 project of Gansu Medical Products Adminis-tration (2021GSMPA008) ; Genuine Ecological Planting and Quality Assurance Project of China (2022030014) .

语种：英文

外文关键词：T. farfara; MaxEnt model; HPLC fingerprint; Ecological suitability; Quality evaluation

摘要：Tussilago farfara L. is a typical habitat-dominated herbal medicine. In this work, for evaluating the effect of ecological environment on its quality, an integrated approach based on chemical composition and maximum entropy (MaxEnt) model was developed. 52 batches of T. farfara were collected by field survey from different origins in Gansu Province and their HPLC fingerprints were established. 19 common peaks were specified and subjected to principal component analysis and orthogonal partial least squares-discriminant analysis. The result indicated the quality varied with the origins and the common peaks 12, 6, 9, 14, 19, and 1 was the key to distinguish their quality. The MaxEnt model consisting of 205 occurrence records and 14 environmental variables was constructed and used to predict the potential distribution of T. farfara in Gansu Province. The prediction results showed that the current suitable habitat area of T. farfara was about 94,547.03 km2, accounting for 22.2% of the total area of Gansu Province, and showed a trend of increasing and then decreasing with time under future climate scenarios. Moreover, the dominant factors affecting its distribution were specified as min temperature of coldest month, precipitation of wettest month, precipitation seasonality, mean diurnal range and elevation. Eventually, the correlation model between chemical composition and environmental variables was established, based on which a quality zoning map of T. farfara was drawn. The obtained results would provide a scientific reference for the conservation and utilization of wild resources and the selection of planting site of T. farfara.