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Statistical Copolymerization-Induced Self-Assembly
ACS Macro Letters ( IF 5.1 ) Pub Date : 2024-07-18 , DOI: 10.1021/acsmacrolett.4c00278
Meng Huo 1 , Ruixue Zhu 1
Affiliation  

Statistical copolymers have been extensively used in chemical industries and our daily lives, owing to their ease of synthesis and functionalization. However, self-assembly based on statistical copolymers has been haunted by high interfacial energy, poor stability, and low concentration. We proposed the statistical copolymerization-induced self-assembly (stat-PISA) as a general strategy for one-step preparing stable statistical copolymer assemblies with high solids content. The concept was demonstrated through a model dispersion polymerization system comprising a charged hydrophilic monomer and a core-forming monomer, producing spherical micelles via a spinodal decomposition mechanism with an interconnected network intermediate. The stat-PISA was tunable by varying the fraction of charged monomer, the polymer chain length, and the solids content. The statistical copolymer micelles were demonstrated to be a potential Pickering emulsifier with superior stabilizing performances compared to their block copolymer counterparts. The general applicability of stat-PISA was demonstrated by preparing statistical copolymer assemblies with varying surface charges and chemical compositions. Particularly, this strategy is feasible for conventional free radical polymerization, promising for industrial scale-up.

中文翻译:


统计共聚诱导的自组装



统计共聚物由于易于合成和功能化而广泛应用于化学工业和我们的日常生活。然而,基于统计共聚物的自组装一直受到界面能高、稳定性差和浓度低的困扰。我们提出了统计共聚诱导自组装( stat -PISA)作为一步制备高固含量稳定统计共聚物组装体的通用策略。这一概念通过模型分散聚合系统得到了证明,该系统包含带电亲水单体和成核单体,通过具有互连网络中间体的旋节线分解机制产生球形胶束。 stat -PISA 可通过改变加载单体的分数、聚合物链长度和固体含量来调节。统计共聚物胶束被证明是一种潜在的皮克林乳化剂,与嵌段共聚物胶束相比具有优异的稳定性能。通过制备具有不同表面电荷和化学成分的统计共聚物组件,证明了stat -PISA 的普遍适用性。特别是,该策略对于传统的自由基聚合是可行的,有望实现工业规模化。
更新日期:2024-07-18
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