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Optimal Extraction Study of Gastrodin-Type Components from Gastrodia Elata Tubers by Response Surface Design with Integrated Phytochemical and Bioactivity Evaluation

Gastrodia elata tuber (GET) is a popular traditional Chinese medicines (TCMs). In this study, response surface methodology (RSM) with a Box–Behnken design (BBD) was performed to optimize the extraction parameters of gastrodin-type components (gastrodin, gastrodigenin, parishin A, parishin B, parishi...

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Autores principales: Hu, Minhui, Yan, Hui, Fu, Yuanyuan, Jiang, Yulan, Yao, Weifeng, Yu, Sheng, Zhang, Li, Wu, Qinan, Ding, Anwei, Shan, Mingqiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384970/
https://www.ncbi.nlm.nih.gov/pubmed/30717352
http://dx.doi.org/10.3390/molecules24030547
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author Hu, Minhui
Yan, Hui
Fu, Yuanyuan
Jiang, Yulan
Yao, Weifeng
Yu, Sheng
Zhang, Li
Wu, Qinan
Ding, Anwei
Shan, Mingqiu
author_facet Hu, Minhui
Yan, Hui
Fu, Yuanyuan
Jiang, Yulan
Yao, Weifeng
Yu, Sheng
Zhang, Li
Wu, Qinan
Ding, Anwei
Shan, Mingqiu
author_sort Hu, Minhui
collection PubMed
description Gastrodia elata tuber (GET) is a popular traditional Chinese medicines (TCMs). In this study, response surface methodology (RSM) with a Box–Behnken design (BBD) was performed to optimize the extraction parameters of gastrodin-type components (gastrodin, gastrodigenin, parishin A, parishin B, parishin C and parishin E). Different from the conventional studies that merely focused on the contents of phytochemical, we gave consideration to both quantitative analysis of the above six components by HPLC and representative bioactivities of GET, including antioxidation and protection of human umbilical vein endothelial cells (HUVEC). Four independent variables (ethanol concentration, liquid-material ratio, soaking time and extraction time) were investigated with the integrated evaluation index of phytochemical contents. With the validation experiments, the optimal extraction parameters were as follows: ethanol concentration of 41%, liquid–solid ratio of 28.58 mL/g, soaking time of 23.91 h and extraction time of 46.60 min. Under the optimum conditions, the actual standardized comprehensive score was 1.8134 ± 0.0110, which was in accordance with the predicted score of 1.8100. This firstly established method was proved to be feasible and reliable to optimize the extraction parameters of the bioactive components from GET. Furthermore, it provides some reference for the quality control and extraction optimization of TCMs.
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spelling pubmed-63849702019-02-23 Optimal Extraction Study of Gastrodin-Type Components from Gastrodia Elata Tubers by Response Surface Design with Integrated Phytochemical and Bioactivity Evaluation Hu, Minhui Yan, Hui Fu, Yuanyuan Jiang, Yulan Yao, Weifeng Yu, Sheng Zhang, Li Wu, Qinan Ding, Anwei Shan, Mingqiu Molecules Article Gastrodia elata tuber (GET) is a popular traditional Chinese medicines (TCMs). In this study, response surface methodology (RSM) with a Box–Behnken design (BBD) was performed to optimize the extraction parameters of gastrodin-type components (gastrodin, gastrodigenin, parishin A, parishin B, parishin C and parishin E). Different from the conventional studies that merely focused on the contents of phytochemical, we gave consideration to both quantitative analysis of the above six components by HPLC and representative bioactivities of GET, including antioxidation and protection of human umbilical vein endothelial cells (HUVEC). Four independent variables (ethanol concentration, liquid-material ratio, soaking time and extraction time) were investigated with the integrated evaluation index of phytochemical contents. With the validation experiments, the optimal extraction parameters were as follows: ethanol concentration of 41%, liquid–solid ratio of 28.58 mL/g, soaking time of 23.91 h and extraction time of 46.60 min. Under the optimum conditions, the actual standardized comprehensive score was 1.8134 ± 0.0110, which was in accordance with the predicted score of 1.8100. This firstly established method was proved to be feasible and reliable to optimize the extraction parameters of the bioactive components from GET. Furthermore, it provides some reference for the quality control and extraction optimization of TCMs. MDPI 2019-02-02 /pmc/articles/PMC6384970/ /pubmed/30717352 http://dx.doi.org/10.3390/molecules24030547 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hu, Minhui
Yan, Hui
Fu, Yuanyuan
Jiang, Yulan
Yao, Weifeng
Yu, Sheng
Zhang, Li
Wu, Qinan
Ding, Anwei
Shan, Mingqiu
Optimal Extraction Study of Gastrodin-Type Components from Gastrodia Elata Tubers by Response Surface Design with Integrated Phytochemical and Bioactivity Evaluation
title Optimal Extraction Study of Gastrodin-Type Components from Gastrodia Elata Tubers by Response Surface Design with Integrated Phytochemical and Bioactivity Evaluation
title_full Optimal Extraction Study of Gastrodin-Type Components from Gastrodia Elata Tubers by Response Surface Design with Integrated Phytochemical and Bioactivity Evaluation
title_fullStr Optimal Extraction Study of Gastrodin-Type Components from Gastrodia Elata Tubers by Response Surface Design with Integrated Phytochemical and Bioactivity Evaluation
title_full_unstemmed Optimal Extraction Study of Gastrodin-Type Components from Gastrodia Elata Tubers by Response Surface Design with Integrated Phytochemical and Bioactivity Evaluation
title_short Optimal Extraction Study of Gastrodin-Type Components from Gastrodia Elata Tubers by Response Surface Design with Integrated Phytochemical and Bioactivity Evaluation
title_sort optimal extraction study of gastrodin-type components from gastrodia elata tubers by response surface design with integrated phytochemical and bioactivity evaluation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384970/
https://www.ncbi.nlm.nih.gov/pubmed/30717352
http://dx.doi.org/10.3390/molecules24030547
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