Multicomponent Combinatorial Polymerization via the Biginelli Reaction

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• 作者：Haodong Xue ; Yuan Zhao ; Haibo Wu ; Zilin Wang ; Bin Yang ; Yen Wei ; Zhiming Wang ; Lei Tao
• 刊名：Journal of the American Chemical Society
• 出版年：2016
• 出版时间：July 20, 2016
• 年：2016
• 卷：138
• 期：28
• 页码：8690-8693
• 全文大小：358K
• 年卷期：0
• ISSN：1520-5126

文摘

A multicomponent combinatorial polymerization method has been exploited as a new intersection between combinatorial chemistry, polymer chemistry, and organic chemistry. The tricomponent Biginelli reaction has been employed as a model multicomponent reaction (MCR) to efficiently prepare a library of polycondensates with continuously changed chain structure but different physical properties. The naturally increased reaction modules (monomers) directly doubled the number of polymers in the library, effectively improving the efficiency of polymer preparation. The glass transition temperatures (T_g) of those homologous polymers have been mapped for the first time to predict the T_g values of absent polymer homologues with good to excellent accuracy. Meanwhile, the T_g maps have also been used to reveal the regular change in T_g according to the polymer structure (linking group, monomer chain length, etc.), initially suggesting the academic significance of the multicomponent combinatorial polymerization system. We believe that the current research paves a straightforward way to synthesize new libraries of polymers via MCRs and might prompt the broader study of MCRs in interdisciplinary fields.