Optimising selectivity and activity in catalytic chemical depolymerisation cascades

优化催化化学解聚级联的选择性和活性

• 批准号: 2752674
• 金额: --
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2752674
• 关键词: Optimising; selectivity; activity; catalytic; chemical

Plastic pollution is a societal challenge which must urgently be met. Developing chemical depolymerisation, such as through catalyst optimisation, as an end-of-life fate for plastics can help address this crisis. This project will explore catalyst optimisation for two value-added ends-of-life. First, the circular depolymerisation of commodity polymers - optimising the speed and selectivity of the depolymerisation, especially in competition experiments with multiple plastics. Design-of-experiments principles will take inspiration from Greaney group research in organocatalysis (Lewis base, NHC, amine nucleophiles) and photoredox catalysis and apply it to the sustainable polymer expertise in the Shaver group to create optimal systems. Scale up of top-performing systems will offer input variables for life cycle assessments, another expertise of the Shaver group. Second, for systems where selectivity is not possible, or the techno-economic analysis suggests it is not ideally sustainable, the monomeric feedstocks will be explored in cascade catalytic reactions to create value-added, upcycled products.

塑料污染是一个必须迫切应对的社会挑战。开发化学解聚技术，例如通过催化剂优化，作为塑料的报废命运，可以帮助解决这一危机。该项目将探索催化剂优化以实现两个增值的寿命终点。首先，商品聚合物的循环解聚 - 优化解聚的速度和选择性，特别是在多种塑料的竞争实验中。实验设计原则将从 Greaney 小组在有机催化（路易斯碱、NHC、胺亲核试剂）和光氧化还原催化方面的研究中汲取灵感，并将其应用到 Shaver 小组的可持续聚合物专业知识中，以创建最佳系统。顶级性能系统的扩展将为生命周期评估提供输入变量，这是 Shaver 团队的另一项专业知识。其次，对于不可能实现选择性的系统，或者技术经济分析表明其不具有理想的可持续性，单体原料将在级联催化反应中进行探索，以创造增值的升级循环产品。