Towards Precision Biocatalysis – Leveraging Inline NMR for Autonomous Experimentation in Flow Reactors

IF 6.1 Q1 CHEMISTRY, MULTIDISCIPLINARY Chemistry methods : new approaches to solving problems in chemistry Pub Date : 2024-11-15 DOI:10.1002/cmtd.202400049
Felix Ott, Dr. Gudrun Gygli, Dr. Kersten S. Rabe, Prof. Dr. Christof M. Niemeyer
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Abstract

Reactor automation is a transformative force for chemical processes, but the potential of reaction monitoring for machine-assisted autonomous biocatalytic reaction optimization is still largely unexplored. To address this gap, we report on automated reactor optimization for biocatalytic flow-through microreactors. For this purpose, the inline NMR analysis of an enzymatically catalyzed stereoselective reduction of a prochiral diketone was combined with a self-developed open-source analysis and control software. The algorithm is continuously fed with spectra from a benchtop NMR instrument acquired from a reaction solution from a microreactor filled with biocatalytically active materials and adjusts the flow rate of the pumps to achieve predetermined target concentrations of the product. We show that through this automated coupling of data analysis and process parameterization, for example, maximum conversion efficiency can be achieved for a given bioreactor. This work illustrates the potential of inline NMR reaction monitoring for biocatalytic processes and provides a starting point for innovation to develop automated processes for precision biocatalysis through integrated data analysis.

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迈向精密生物催化-利用内联核磁共振在流动反应器中的自主实验
反应器自动化是化学过程的变革力量,但机器辅助自主生物催化反应优化的反应监测潜力仍未得到充分开发。为了解决这一差距,我们报告了生物催化流通过微反应器的自动反应器优化。为此,将酶催化的前手性二酮立体选择还原的在线NMR分析与自行开发的开源分析和控制软件相结合。该算法连续输入从充满生物催化活性物质的微反应器的反应溶液中获得的台式核磁共振仪器的光谱,并调整泵的流量以达到预定的目标浓度。我们表明,通过这种数据分析和过程参数化的自动化耦合,例如,对于给定的生物反应器,可以实现最大的转换效率。这项工作说明了内联核磁共振反应监测生物催化过程的潜力,并通过集成数据分析为开发精密生物催化自动化过程的创新提供了起点。
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