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响应面设计综合植物化学和生物活性评价优化天麻型成分的提取研究。

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

机构信息

Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China.

出版信息

Molecules. 2019 Feb 2;24(3):547. doi: 10.3390/molecules24030547.

DOI:10.3390/molecules24030547
PMID:30717352
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6384970/
Abstract

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.

摘要

天麻(GET)是一种流行的中药(TCM)。在这项研究中,采用 Box⁻Behnken 设计(BBD)的响应面法(RSM)对天麻素型成分(天麻素、天麻苷元、巴利森 A、巴利森 B、巴利森 C 和巴利森 E)的提取参数进行了优化。与仅关注植物化学物质含量的传统研究不同,我们同时考虑了 HPLC 对上述六种成分的定量分析和 GET 的代表性生物活性,包括抗氧化和保护人脐静脉内皮细胞(HUVEC)。以植物化学物质含量的综合评价指标为基础,考察了四个独立变量(乙醇浓度、液料比、浸泡时间和提取时间)。通过验证实验,确定了最佳提取参数为:乙醇浓度 41%,液料比 28.58 mL/g,浸泡时间 23.91 h,提取时间 46.60 min。在最佳条件下,实际标准化综合评分 1.8134±0.0110,与预测评分 1.8100 相符。该方法首次建立,证明了其优化天麻生物活性成分提取参数的可行性和可靠性。此外,为 TCM 的质量控制和提取优化提供了一些参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84fd/6384970/0c38a83e95d7/molecules-24-00547-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84fd/6384970/a2ff15a0e047/molecules-24-00547-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84fd/6384970/37c57e9fe33b/molecules-24-00547-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84fd/6384970/3be06fbc38bb/molecules-24-00547-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84fd/6384970/aa30f6002d80/molecules-24-00547-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84fd/6384970/0c38a83e95d7/molecules-24-00547-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84fd/6384970/a2ff15a0e047/molecules-24-00547-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84fd/6384970/37c57e9fe33b/molecules-24-00547-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84fd/6384970/3be06fbc38bb/molecules-24-00547-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84fd/6384970/aa30f6002d80/molecules-24-00547-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84fd/6384970/0c38a83e95d7/molecules-24-00547-g005.jpg

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