A digital tool for liquid–liquid extraction process design†

IF 6.2 Q1 CHEMISTRY, MULTIDISCIPLINARY
George Karageorgis, Simone Tomasi, Elliot H. E. Farrar, Maxime Tarrago and Tabassum Malik
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引用次数: 0

Abstract

Aqueous liquid–liquid extractions are crucial for purifying compounds and removing impurities in the pharmaceutical industry. However, the extensive solvent space involved in such operations highlights the need for an informed approach in solvent selection. We present a digital tool designed to leverage data-driven experimentation to enhance process efficiency and sustainability, aligning with industry trends towards digitalisation. It allows users to input various parameters, retrieve relevant data, and visualise extraction efficiencies, thereby improving process understanding and reducing process development lead times. By providing interactive visualisations and facilitating rapid hypothesis generation, the tool supports informed decision-making and streamlines workflows. The tool's application is demonstrated through representative complex scenarios involving the separation of multiple compounds present in a mixture at the end of a Buchwald coupling reaction. Overall, this digital tool offers a new practical and data-led approach to chemical process design, with the potential to promote experimental efficiency during development and to improve the environmental sustainability of commercial processes.

Abstract Image

液液萃取工艺设计的数字化工具
在制药工业中,水液萃取是纯化化合物和去除杂质的关键。然而,在这种操作中涉及的广泛的溶剂空间突出了在溶剂选择中需要一个知情的方法。我们提出了一个数字工具,旨在利用数据驱动的实验来提高流程效率和可持续性,与行业数字化趋势保持一致。它允许用户输入各种参数,检索相关数据,并可视化提取效率,从而提高工艺理解并缩短工艺开发前置时间。通过提供交互式可视化和促进快速假设生成,该工具支持知情决策并简化工作流程。该工具的应用演示了代表性的复杂场景,包括在布赫瓦尔德偶联反应结束时混合物中存在的多种化合物的分离。总的来说,这个数字工具为化学过程设计提供了一种新的实用和数据导向的方法,有可能在开发过程中提高实验效率,并改善商业过程的环境可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.80
自引率
0.00%
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0
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