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Continuous Manufacturing with Carbon Nanoreactor Supported Nanoparticle Catalysts for the Self-Optimisation of Heterogenous Reduction Reactions

Continuous Manufacturing with Carbon Nanoreactor Supported Nanoparticle Catalysts for the Self-Optimisation of Heterogenous Reduction Reactions
使用碳纳米反应器支持的纳米颗粒催化剂连续制造,用于多相还原反应的自我优化
批准号:
2443634
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2020
资助国家:
英国
项目状态:
未结题
起止时间:
2020 至 --

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英文摘要
This industrially sponsored project, between Dr Thomas Chamberlain and Dr Richard Bourne (University of Leeds) and Dr Kevin Leslie and Dr Graeme Clemens (Process Chemistry at AstraZeneca), will enable high throughput, flow hydrogenation at scale enabling robust, continuous manufacture. To achieve this the project will fabricate novel carbon based, pelleted catalyst materials, incorporating an ultra-hard core, proving the structural strength and dimensions required to minimize pressure drop across a flow reactor column, with an innovative, nanoreactor based porous outer shell designed to maximize surface area, nanoparticle stabilization and the rate of reactions. These catalysts will be integrated into the self-optimizing, reactor platform, at Leeds, capable of performing heterogeneous hydrogenation in flow, will enable optimisation of heterogeneously catalysed chemical reactions in flow of exemplar active pharmaceutical ingredient targets determined in partnership with AstraZeneca. This will include a placement at AZ Macclesfield, including training on state-of-the-art continuous flow hydrogenation apparatus and engagement with colleagues in process development.The research and training will include: the construction, validation, and testing of automated reactor platforms, organic synthetic chemistry in flow; heterogeneous catalysts preparation, characterisation and utilisation; analysis of reaction outcomes using a range of techniques and exploitation of self-optimising algorithms. This project will involve flow chemistry and applied catalysis, and in the use of state-of-the-art automated techniques.
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