文献类型：期刊文献

英文题名：Evaluation of environmental factors affecting the quality of Codonopsis pilosula based on chromatographic fingerprint and MaxEnt model

作者：Wan, Guang-Zhen[1];Wang, Li[2];Jin, Ling[2];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 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：2021

卷号：170

外文期刊名：INDUSTRIAL CROPS AND PRODUCTS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000689548600009)】；

基金：This work was funded by Special Foundation for National Science and Technology Basic Resources of China (2018FY100701), the Key Program of Natural Science Foundation of Gansu Province, China (20JR10RA584), National Survey of Traditional Chinese Medicine Resources of National Administration of Traditional Chinese Medicine (GZY-KJS-2018-004; GZY-KJS-2019-001), and Special Subsidy for Public Health Services of Traditional Chinese Medicine, China (CS[2018]-43).

语种：英文

外文关键词：Codonopsis pilosula; UPLC fingerprint; MaxEnt model; Quality evaluation

摘要：The quality control of Traditional Chinese medicine (TCM) is rather challenging owing to the diversity and complexity of chemical components, which fluctuate with geographic origin and growth environment. In this study, a comprehensive strategy based on ultra-high performance chromatographic (UPLC) fingerprint technique and MaxEnt model was proposed to evaluate the effects of environmental factors on the quality of Codonopsis pilosula. An UPLC analytical method was developed and validated by precision, repeatability and stability, and then applied to analyze 91 sets of samples collected from different sites of Dingxi district, Gansu province, China (one of the geo-authentic producing areas of Codonopsis pilosula). With a similarity evaluation software, a standard UPLC fingerprint was obtained and 23 common peaks were found out. The MaxEnt model was established based on the principle of maximum entropy and its accuracy was evaluated by the receiver operating characteristic (ROC) curve and the area under the curve (AUC). Based on the UPLC fingerprint and MaxEnt model, the potential habitat suitability distribution of Codonopsis pilosula in Dingxi district was obtained, and the correlation model between ecological factors and chemical components was established. With the spatial analysis function of ArcGIS, the quality zoning map of Codonopsis pilosula was further drawn integrating the above distribution map of potential habitat suitability and the correlation model. The research results could provide a reference for the selection of planting area and the production regionalization of an herbal medicine.