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自动化ARGET ATRP加速硫醇官能化聚合物合成的催化剂优化

Automated ARGET ATRP Accelerates Catalyst Optimization for the Synthesis of Thiol-Functionalized Polymers.

作者信息

Siegwart Daniel J, Leiendecker Matthias, Langer Robert, Anderson Daniel G

机构信息

Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States ; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.

出版信息

Macromolecules. 2012 Feb 14;45(3):1254-1261. doi: 10.1021/ma3000219.

Abstract

Conventional synthesis of polymers by ATRP is relatively low throughput, involving iterative optimization of conditions in an inert atmosphere. Automated, high-throughput controlled radical polymerization was developed to accelerate catalyst optimization and production of disulfide-functionalized polymers without the need of an inert gas. Using ARGET ATRP, polymerization conditions were rapidly identified for eight different monomers, including the first ARGET ATRP of 2-(diethylamino)ethyl methacrylate and di(ethylene glycol) methyl ether methacrylate. In addition, butyl acrylate, oligo(ethylene glycol) methacrylate 300 and 475, 2-(dimethylamino)ethyl methacrylate, styrene, and methyl methacrylate were polymerized using bis(2-hydroxyethyl) disulfide bis(2-bromo-2-methylpropionate) as the initiator, tris(2-pyridylmethyl)amine as the ligand, and tin(II) 2-ethylhexanoate as the reducing agent. The catalyst and reducing agent concentration was optimized specifically for each monomer, and then a library of polymers was synthesized systematically using the optimized conditions. The disulfide-functionalized chains could be cleaved to two thiol-terminated chains upon exposure to dithiothreitol, which may have utility for the synthesis of polymer bioconjugates. Finally, we demonstrated that these new conditions translated perfectly to conventional batch polymerization. We believe the methods developed here may prove generally useful to accelerate the systematic optimization of a variety of chemical reactions and polymerizations.

摘要

通过原子转移自由基聚合(ATRP)进行聚合物的传统合成通量相对较低,需要在惰性气氛中反复优化条件。为了加速催化剂优化以及无需惰性气体即可生产二硫键功能化聚合物,开发了自动化的高通量可控自由基聚合方法。使用ARGET ATRP,快速确定了八种不同单体的聚合条件,包括甲基丙烯酸2-(二乙氨基)乙酯和甲基丙烯酸二(乙二醇)甲醚的首次ARGET ATRP。此外,以双(2-羟乙基)二硫双(2-溴-2-甲基丙酸酯)为引发剂、三(2-吡啶甲基)胺为配体、2-乙基己酸亚锡为还原剂,对丙烯酸丁酯、甲基丙烯酸聚乙二醇酯300和475、甲基丙烯酸2-(二甲氨基)乙酯、苯乙烯和甲基丙烯酸甲酯进行了聚合。针对每种单体专门优化了催化剂和还原剂的浓度,然后使用优化条件系统地合成了聚合物库。二硫键功能化链在暴露于二硫苏糖醇时可裂解为两条硫醇封端的链,这可能对聚合物生物共轭物的合成有用。最后,我们证明了这些新条件完全适用于传统的间歇聚合。我们相信,这里开发的方法可能被证明普遍有助于加速各种化学反应和聚合反应的系统优化。

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