Perry Sarah L, Sing Charles E
Department of Chemical Engineering, University of Massachusetts-Amherst, 686 North Pleasant Street, Amherst, Massachusetts 01003, United States.
Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, 600 South Mathews Avenue Urbana, Illinois 61801, United States.
ACS Macro Lett. 2020 Feb 18;9(2):216-225. doi: 10.1021/acsmacrolett.0c00002. Epub 2020 Jan 30.
Polymer science has been driven by ever-increasing molecular complexity, as polymer synthesis expands an already-vast palette of chemical and architectural parameter space. Copolymers represent a key example, where simple homopolymers have given rise to random, alternating, gradient, and block copolymers. Polymer physics has provided the insight needed to explore this monomer sequence parameter space. The future of polymer science, however, must contend with further increases in monomer precision, as this class of macromolecules moves ever closer to the sequence-monodisperse polymers that are the workhorses of biology. The advent of sequence-defined polymers gives rise to opportunities for material design, with increasing levels of chemical information being incorporated into long-chain molecules; however, this also raises questions that polymer physics must address. What properties uniquely emerge from sequence-definition? Is this circumstance-dependent? How do we define and think about sequence dispersity? How do we think about a hierarchy of sequence effects? Are more sophisticated characterization methods, as well as theoretical and computational tools, needed to understand this class of macromolecules? The answers to these questions touch on many difficult scientific challenges, setting the stage for a rich future for sequence-defined polymers in polymer physics.
随着聚合物合成扩展了已经十分广阔的化学和结构参数空间,分子复杂性不断增加,推动了聚合物科学的发展。共聚物就是一个关键例子,简单的均聚物衍生出了无规、交替、梯度和嵌段共聚物。聚合物物理学为探索这一单体序列参数空间提供了所需的见解。然而,随着这类大分子越来越接近作为生物学主力的序列单分散聚合物,聚合物科学的未来必须应对单体精度的进一步提高。序列定义聚合物的出现为材料设计带来了机遇,越来越多的化学信息被纳入长链分子中;然而,这也引发了聚合物物理学必须解决的问题。序列定义会独特地产生哪些性质?这是否取决于具体情况?我们如何定义和思考序列分散性?我们如何考虑序列效应的层次结构?是否需要更复杂的表征方法以及理论和计算工具来理解这类大分子?这些问题的答案涉及许多艰巨的科学挑战,为聚合物物理学中序列定义聚合物的丰富未来奠定了基础。