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基于Q-标志物均匀设计法的提取与纯化工艺优化。 (你提供的原文“Optimization of the extraction and purification of based on the Q-marker uniform design method.”中“of the extraction and purification of ”后面似乎缺少具体内容)

Optimization of the extraction and purification of based on the Q-marker uniform design method.

作者信息

Zhang Yongping, Wang Zuhua, Xu Jian, Yang Fangfang, Dai Chuanyang, Xie Weijie, Liang Zhu, Su Songbo

机构信息

College of Pharmaceutical Sciences, Guizhou University of Traditional Chinese Medicine, Huaxi University Town, Dongqing South Road, Guiyang, 550025 Guizhou People's Republic of China.

出版信息

BMC Chem. 2020 Feb 11;14(1):9. doi: 10.1186/s13065-020-00666-6. eCollection 2020 Dec.

DOI:10.1186/s13065-020-00666-6
PMID:32055800
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7011255/
Abstract

alkaloids are mainly divided into three categories: protoberberine, prototropine and aporphine alkaloids. Therefore, we have taken into account these three alkaloid contents when extracting and purifying crude drugs, which is essential for the quality control of and its derivative products. Herein, we investigated the feasibility of the Q-marker uniform design method in the optimization of the extraction and purification of . In this study, Q-marker-based comprehensive scoring (CS) and uniform design methods were used to optimize the extraction and purification of . The inspective factors included the solvent concentration, pH, liquid-solid ratio, extraction time and frequency. Then 8 Q-markers, the total alkaloid extraction and the extraction rate were considered as the evaluating indicators during the process. The results indicated that the optimal reflux extraction process of was as follows: a total amount of 20 times 70% ethanol (pH = 10 of diluted ammonia), heating and refluxing twice, and extracting each time for 60 min. The results of nine-resin screening exhibited that NKA-9 macroporous adsorption resin had the best separation and purification effect on 8 kinds of alkaloids with stronger enrichment. During the optimal enrichment process and elution conditions, the water-soluble impurities were washed off with 5 BV distilled water at a volume flow rate of 2 BV/h, and the elution solvent was 70% ethanol with an elution volume flow rate of 1.5 BV/h and an elution dosage of 12 BV. Additionally, the total alkaloids of the obtained product were over 50%, of which eight quality markers were (+)-corydaline 3.55%, tetrahydropalmatine 3.13%, coptisine 2.79%, palmatine hydrochloride 2.24%, dehydrocorydaline 13.11%, (R)-(+)-corypalmine 2.37%, protopine 2.71% and glaucine 14.03%. Our data demonstrated that the optimal extraction and purification process was stable and feasible, which was expected to provide an experimental basis and reference for the industrial production of .

摘要

生物碱主要分为三类

原小檗碱型、原托品烷型和阿朴啡型生物碱。因此,我们在提取和纯化原料药时考虑了这三种生物碱的含量,这对[具体药物名称]及其衍生产品的质量控制至关重要。在此,我们研究了Q-标志物均匀设计方法在优化[具体药物名称]提取和纯化中的可行性。在本研究中,采用基于Q-标志物的综合评分(CS)和均匀设计方法来优化[具体药物名称]的提取和纯化。考察因素包括溶剂浓度、pH值、液固比、提取时间和次数。然后将8种Q-标志物、总生物碱提取量和提取率作为过程中的评价指标。结果表明,[具体药物名称]的最佳回流提取工艺如下:20倍量的70%乙醇(稀氨水溶液pH值为10),加热回流2次,每次提取60分钟。九种树脂筛选结果表明,NKA-9大孔吸附树脂对8种生物碱的分离纯化效果最佳,富集能力较强。在最佳富集工艺和洗脱条件下,以2BV/h的体积流速用5BV蒸馏水冲洗掉水溶性杂质,洗脱溶剂为70%乙醇,洗脱体积流速为1.5BV/h,洗脱剂量为12BV。此外,所得产品的总生物碱含量超过50%,其中8种质量标志物分别为:(+)-紫堇碱3.55%、延胡索乙素3.13%、黄连碱2.79%、盐酸巴马汀2.24%、去氢紫堇碱13.11%、(R)-(+)-紫堇棕榈碱2.37%、原托品碱2.71%和青藤碱14.03%。我们的数据表明,最佳提取和纯化工艺稳定可行,有望为[具体药物名称]的工业化生产提供实验依据和参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dced/7011255/9cf1d9a7965d/13065_2020_666_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dced/7011255/91fa319423a9/13065_2020_666_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dced/7011255/3ebd7f1dfd41/13065_2020_666_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dced/7011255/65761af83f41/13065_2020_666_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dced/7011255/9cf1d9a7965d/13065_2020_666_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dced/7011255/91fa319423a9/13065_2020_666_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dced/7011255/3ebd7f1dfd41/13065_2020_666_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dced/7011255/65761af83f41/13065_2020_666_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dced/7011255/9cf1d9a7965d/13065_2020_666_Fig4_HTML.jpg

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