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基于在线台式核磁共振的集成转化靶向自动化聚合物合成平台

Automated Polymer Synthesis Platform for Integrated Conversion Targeting Based on Inline Benchtop NMR.

作者信息

Rubens Maarten, Van Herck Joren, Junkers Tanja

机构信息

Polymer Reaction Design Group, School of Chemistry, Monash University, 19 Rainforest Walk, Clayton, Victoria 3800, Australia.

Institute for Materials Research, Hasselt University, Martelarenlaan 42, 3500 Hasselt, Belgium.

出版信息

ACS Macro Lett. 2019 Nov 19;8(11):1437-1441. doi: 10.1021/acsmacrolett.9b00767. Epub 2019 Oct 11.

Abstract

An automated polymer synthesis platform based on an inline low-field nuclear magnetic resonance spectrometer is developed. Flow chemistry and automated inline analyses are an excellent combination for automated kinetic screening and for self-optimizing reactions with programmable conversion targeting. By monitoring monomer conversion over a continuous range of reactor residence times, the platform is able to construct kinetic profiles of polymerizations in an accurate and efficient way. The machine-assisted self-optimization routine allows the reaction to be stopped at any given preselected conversion, giving rise to unprecedented reproducibility in polymer synthesis.

摘要

开发了一种基于在线低场核磁共振光谱仪的自动化聚合物合成平台。流动化学和自动化在线分析是用于自动化动力学筛选以及具有可编程转化率目标的自优化反应的绝佳组合。通过在连续的反应器停留时间范围内监测单体转化率,该平台能够以准确且高效的方式构建聚合反应的动力学曲线。机器辅助的自优化程序允许反应在任何给定的预选转化率下停止,从而在聚合物合成中产生了前所未有的重现性。

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