Facile Control of Molecular Weight Distribution via Droplet-Flow Light-Driven Reversible-Deactivation Radical Polymerization

作     者：Yang Zhou Yangkang Fu Mao Chen Yang Zhou;Yangkang Fu;Mao Chen

作者机构：Department of Macromolecular ScienceState Key Laboratory of Molecular Engineering of PolymersFudan UniversityShanghai200438 China 

出 版 物：《Chinese Journal of Chemistry》 (中国化学（英文版）)

年 卷 期：2022年第40卷第19期

页      面：2305-2312页

核心收录：

学科分类：08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0703[理学-化学] 

基　　金：This research was financially supported by Science and Technology Commission of Shanghai Municipality(STCSM)and the Shanghai Pilot Program for Basic Research--Fudan University 21TQ1400100(No.21TQ007) NSFC(No.21971044) State Key Laboratory of Molecular Engineering of Polymers. 

主　　题：Photocatalysis Copolymerization Synthetic methods Molecular weight distribution Flow chemistry 

摘      要：Molecular weight distribution(MWD)is fundamental for polymer analysis,which influences many important properties of polymeric materials.In this work,we demonstrate the development of a computer-aided droplet-flow system that combines photo-mediated reversible-deactivation radical polymerization(RDRP)and chain transfer agent(CTA)diffusion strategy to enable facile MWD control for the first time.Synthetic advantages of this photo-flow polymerization allow controlled chain-growth to yield a variety of polymers of tunable MWDs in a broad range(Ð≈1.1—1.9)with predetermined molecular weights(Mn≈4—30 kDa)and good chain-end fidelity.Notably,the computer-aided platform has streamlined an automatic and high-throughput pathway to prepare polymer libraries of tunable MWDs.For copolymers,chemical compositions could be readily regulated besides MWDs with the droplet-flow platform.We believe that this work should be attractive for polymer engineering,and informative to create more flow polymerization techniques toward on-demand control of diverse polymer characters.