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ORIGINAL RESEARCH article
Front. Plant Sci.
Sec. Functional Plant Ecology
Volume 15 - 2024 |
doi: 10.3389/fpls.2024.1397939
Evaluating the Impact of Ecological Factors on the Quality and Habitat Distribution of Lonicera japonica Flos Using HPLC and MaxEnt Model
Provisionally accepted- Gansu Agricultural University, Lanzhou, China
The quality of Traditional Chinese Medicine by the content of their secondary metabolites, which varies with habitat adaptation and ecological factors. In this study, we established a new method to evaluate the effects of ecological factors on Lonicera japonica Flos quality based on High performance liquid chromatography fingerprinting technology and MaxEnt models. The MaxEnt model was employed to scrutinize the suitable habitat areas for current and future L.onicera japonica Flos. High performance liquid chromatography coupled with the software for similarity evaluation of chromatographic fingerprints of Traditional Chinese Medicine was used to obtain standard High performance liquid chromatography fingerprinting. 21 common peaks were identified, and the contents of five compounds Hyperoside, Rutin, Chlorogenic acid, Cynaroside, Isochlorogenic acid A in these common peaks were determined using the standard samples. Based on High performance liquid chromatography fingerprint and MaxEnt model, a correlation model between ecological factors and chemical composition was established to obtain the potential distribution of high-quality Lonicera L. japonica Flos Through the spatial analysis function of ArcGIS, the Lonicera L. japonica Flos quality zoning map was refined by amalgamating the potential habitat suitability distribution map and the correlation model. The outcomes of this study, which utilized a multivariate information combining approach, offer insights for the examination of other Chinese herbal medicines and the selection of Lonicera L. japonica Flos planting and production areas.
Keywords: Lonicera japonica flos, species distribution, HPLC fingerprint, MAXENT model, quality evaluation
Received: 08 Mar 2024; Accepted: 12 Jul 2024.
Copyright: © 2024 Cheng, Dong, Wang, Wang, Laing, Jiang, Chen and Guo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Liyang Wang, Gansu Agricultural University, Lanzhou, China
Hongyan Wang, Gansu Agricultural University, Lanzhou, China
Xiaofeng Jiang, Gansu Agricultural University, Lanzhou, China
Yuan Chen, Gansu Agricultural University, Lanzhou, China
Fengxia Guo, Gansu Agricultural University, Lanzhou, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Liyang Wang
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