Smart MOFs: applications-based online analysis and optimisation for continuous production of metal organic frameworks

智能MOF：基于应用的在线分析和优化，用于金属有机框架的连续生产

基本信息

批准号：
2454270
负责人：
金额：
--
依托单位：
University of Southampton
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2020
资助国家：
英国
起止时间：
2020 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2454270
关键词：
Smart MOFs applications based online

项目摘要

In this project the student will develop new analytical technology to assess the quality of metal organic frameworks (MOFs). MOFs are hybrid microporous solids featuring high-surface areas and tuneable structures, which can be used in a diverse range of applications such as sensing, catalysis, drug delivery, and gas storage. Recent work looking at industrial methods for scalable production of MOFs has seen their production in flow reactors which allow scalable production with rapid synthesis and high space time yields. They do so "blind" however, with no immediate mechanism for characterising the product online, as all standard methods (XRD, BET, SEM etc) need time-consuming sample preparation and offline analysis. This is highly problematic as it precludes real-time quality assurance when producing materials, and optimisation of reaction conditions when starting production is slow and manually intensive. Here we wish to investigate a qualitatively distinct approach to monitoring MOF quality. As most key physical properties of MOFs are prohibitively difficult or impossible to analyse in-flow, this project will develop analysis technology that instead focuses on the end applications, developing and implementing online analysers that quantify how well the product will perform at a target application (e.g. catalysis, sensing, absorption etc), beginning with organic pollution remediation.

在这个项目中，学生将开发新的分析技术来评估金属有机框架（MOF）的质量。 MOF是具有高表面区域和可调结构的混合微孔固体，可用于多种应用，例如感应，催化，药物输送和气体存储。最近研究用于可扩展生产MOF的工业方法的工作已经在流动反应堆中产生了生产，这些反应器可通过快速合成和高时空产量产生可扩展的生产。但是，他们这样做是“盲目的”，没有直接的在线表征产品的机制，因为所有标准方法（XRD，BET，SEM等）都需要耗时的样本准备和离线分析。这是非常有问题的，因为它在生产材料时排除了实时质量保证，并且在开始生产时对反应条件的优化是缓慢且手动密集的。在这里，我们希望调查一种定性不同的监测MOF质量的方法。由于MOF的大多数关键物理特性非常困难或不可能分析流量，因此该项目将开发分析技术，相反，该技术专注于最终应用程序，开发和实施在线分析仪，以量化产品在目标应用程序中的表现（例如催化，感应，吸收，吸收等），从而从有机污染进行补救开始。