Multienzymatic Cascade in a 2-Phase System - Process integration

两相系统中的多酶级联 - 工艺集成

• 批准号: 321884682
• 负责人: Dr. Paul Bubenheim
• 金额: --
• 依托单位: Institut für Technische Biokatalyse V-6
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/321884682?language=en
• 关键词: Multienzymatic; Cascade; Phase; System; Process

Biocatalysis becomes more and more important as an alternative production process in chemical industry. In this context multi-enzyme cascade reactions have the potential to meet the demand for complex synthesis routes with high selectivity and purity of the products and no need for product isolation in between. Especially in-vitro systems have a potential for high space-time yields, although they are less complex, comparatively simple to describe mathematically and therefor good to optimize. Following the successful establishment of a multi-enzyme cascade reaction in the 2-phase system, intensification by process integration is planned. For this purpose, a reaction step of the cascade is combined with the extraction step and the subsequent separation of the two phases in one apparatus. Therefore, the first 3-phase (l/l/s) reactive extraction centrifuge is introduced. This unique apparatus is at the same time the first enzymatic reactive extraction centrifuge.This highly innovative project aims to contribute the development of a platform technology to combine process steps, which are usually individually performed. Thus, a better understanding of complex integrated processes in biocatalysis can be achieved. The system will be described mathematical and modelled. In the end a whole process model will be given, based on the individual system steps, to give a valuable assistance for process optimization.

生物催化作为一种替代生产工艺在化学工业中发挥着越来越重要的作用。在这种背景下，多酶串联反应有可能满足复杂的合成路线的需求，产物具有高选择性和高纯度，并且不需要中间产物分离。尤其是体外系统具有高时空产率的潜力，尽管它们不那么复杂，在数学上描述相对简单，因此很容易优化。在两相体系中成功地建立了多酶串联反应后，计划通过过程集成进行强化。为此，级联的反应步骤与萃取步骤和随后的两相分离在一个装置中相结合。为此，引进了第一台三相(L/L/S)反应萃取离心机。这一独特的设备同时也是第一个酶反应提取离心机。这一高度创新的项目旨在促进平台技术的发展，将通常单独执行的过程步骤结合在一起。因此，可以更好地理解生物催化中复杂的集成过程。将对该系统进行数学描述和建模。最后，根据系统的各个步骤，给出了一个完整的流程模型，为流程优化提供了有价值的帮助。