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考虑到进料溶液组成变化的影响,从银杏叶提取物的大孔树脂层析洗脱液中制备高纯度莽草酸的简单有效方法。

A simple and effective method for the preparation of high-purity shikimic acid from chromatography wash effluent of Ginkgo biloba leaf extract by macroporous resin considering the effect of varying feed solution compositions.

机构信息

Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.

出版信息

J Pharm Pharmacol. 2021 Mar 8;73(4):447-459. doi: 10.1093/jpp/rgaa013.

DOI:10.1093/jpp/rgaa013
PMID:33793829
Abstract

OBJECTIVES

The present study investigated the feasibility of preparing high-purity shikimic acid (SA) from the chromatography wash effluent of Ginkgo biloba leaf extract by macroporous resin.

METHODS

First, static/dynamic adsorption and desorption were conducted to screen out the optimal resin. Second, the key parameters of the chromatographic process were optimised with face-centred central composite design (CCD). Third, wash effluent indices were measured, different batches of wash effluent were used to prepare SA under the optimised parameters, and the effect of varying feed solution compositions on final products was investigated.

KEY FINDINGS

It was found that the final purity and recovery rate of SA prepared with ADS-21 resin were not lower than 70 and 60%, respectively, when the purity of SA in the wash effluent was higher than 21.4%. The quality of the final product can be predicted based on the properties of wash effluent.

CONCLUSIONS

The proposed method could not only provide a simple, green and promising approach for the large-scale purification of SA from wash effluent but also be used to develop process intermediate quality standards for other natural products.

摘要

目的

本研究旨在探讨从银杏叶提取物的层析洗脱液中通过大孔树脂制备高纯度莽草酸(SA)的可行性。

方法

首先,通过静态/动态吸附和解吸筛选出最佳树脂。其次,采用中心复合设计(CCD)优化层析过程的关键参数。然后,测量洗脱液的各项指标,使用不同批次的洗脱液在优化后的参数下制备 SA,并考察进料液组成变化对最终产物的影响。

主要发现

当洗脱液中 SA 的纯度高于 21.4%时,用 ADS-21 树脂制备的 SA 的最终纯度和收率均不低于 70%和 60%。可根据洗脱液的性质预测最终产品的质量。

结论

该方法不仅为从洗脱液中大规模制备 SA 提供了一种简单、绿色、有前途的方法,而且可用于开发其他天然产物的工艺中间体质量标准。

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