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CAMOCAT - Development of novel MOF-carbon nitride hybrid compounds for flow/gas-phase photocatalytical reduction of CO2 to CO under capillary condensation conditions

CAMOCAT - Development of novel MOF-carbon nitride hybrid compounds for flow/gas-phase photocatalytical reduction of CO2 to CO under capillary condensation conditions
CAMOCAT - 开发新型 MOF-氮化碳杂化化合物,用于毛细管冷凝条件下流动/气相光催化将 CO2 还原为 CO
批准号:
536994323
负责人:
Dr. Patrick Nimax
金额:
$0.0万
依托单位:
依托单位国家:
德国
项目类别:
WBP Fellowship
财政年份:
--
资助国家:
德国
项目状态:
未结题
起止时间:

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中文摘要
翻译
由于向绿色社会和能源过渡的转变,光催化反应引起了人们的兴趣。随着高能源价格对高度依赖能源的化学工业的影响,用于燃料产生的替代催化方法已经成为焦点。直接利用太阳能避免了中间步骤,使其比电催化更便宜。氮化碳(CN)最近在废物处理和燃料生产的光催化应用中显示出有吸引力的功能。与石墨烯等类似物在结构和带隙方面具有可比性不同,石墨氯化萘的孔隙率较低,阻碍了催化过程中的基质吸附。然而,高表面积是环境相关反应(如气相CO2还原)的关键。具有金属有机骨架(MOFs)的异质结化合物可以积极地促进具有各种功能的有意义的光催化应用。在光激发之后发生的分离的还原和氧化反应导致更高的效率。然而,MOF@CN复合材料的高通用性引入了许多影响本提案旨在解决的问题的因素。作为其目标,CAMOCAT将探索为VIS光活性异质结化合物中的应用而设计的改进的MOF@CN复合材料如何在可见光和毛细管溶剂化条件下在流动/气相反应器中进行光催化CO2还原以产生CO。这将在几个水平上实现:1)通过用官能团改性MOF组分,所述官能团将增强异质结界面上的维斯光吸收和电荷转移,同时试图稳定MOF组分中的自由基。通过这样做,将改善电子空穴分离,同时通过利用MOF的金属中心将增强催化活性。2)通过使用具有大表面积和一致孔径的介孔CN材料,所述介孔CN材料通过在多孔二氧化硅模板上使用化学气相沉积而实现,然后去除所述多孔二氧化硅模板,留下孔径为10-200 nm的介孔CN用于MOF沉积。3)在气相色谱中采用毛细管溶剂化,可以提高催化效率。毛细凝聚是温度、分压和孔径的函数。通过控制MOF层厚度来调节CN孔径,可以调节毛细管溶剂化的条件以允许在较高压力下的较高通量。4)通过利用顺磁和顺磁MAS-NMR来鉴定CN上MOF沉积的差异。初步结果表明,NMR检查在MOF@CN复合材料中的正确沉积的有效性。它比PXRD更灵敏,可以识别非沉积的MOF以及沉积方法的差异。这些方法将允许进行比较研究,以研究MOF@CN复合材料中的相互作用,并改进现有文献,以创建更有效的光催化系统。
英文摘要
Photocatalysed reactions have gained interest due to a shift towards a transition to greener societies and energy sources. With high energy prices impacting the highly energy-dependant chemistry industry, alternative catalytic approaches for fuel generation have come into focus. The direct use of sun-energy avoids intermediate steps, turning it cheaper than electrocatalysis. Carbon nitrides (CNs) recently showed attractive features in photocatalytic applications for waste treatment and fuel production. Unlike analogues such as graphene comparable in terms of structure and band gap, graphitic CNs possess low porosity that hinder substrate adsorption in catalysis. A high surface area, however, is key for environmentally-relevant reactions such as gas-phase CO2 reduction. Heterojunction compounds with Metalorganic Frameworks (MOFs) can positively contribute to meaningful photocatalytic applications with a variety of functions. Separating reduction and oxidation reactions occurring after photoexcitation leads to higher efficiency. The high versatility of MOF@CN composites however introduces many factors affecting photocatalysis that this proposal is aiming to adress. As its goal, CAMOCAT will explore how improved MOF@CN composites designed for the application in a VIS-light active heterojunction compound perform in photocatalyzed CO2 reduction to yield CO in flow/gas-phase reactors under visible light and capillary solvation conditions. This will be achieved on several levels: 1)by modifying the MOF component with functional groups that will enhance VIS light absorption and charge transfer over the interface of the heterojunction while attempting to stabilize free radicals in the MOF component. By doing so, electron hole separation will be improved, while catalytic activity will be enhanced by utilizing the metal centers of the MOF. 2)by using mesoporous CN materials featuring large surface areas and consistent pore sizes achieved through the use of chemical vapour deposition on porous silica template that is then removed, leaving mesoporous CN with pore diameters of 10-200 nm for MOF deposition. 3)by using capillary solvation in gas phase photocatalysis, catalytic efficiency can be improved. Capillary condensation is a function of temperature, partial pressures and pore size. By modulating CN pore sizes through control of the MOF layer thickness, the conditions for capillary solvation can be tuned to allow higher throughput at higher pressures. 4)by utilizing dia- and paramagnetic MAS-NMR to identify differences in MOF deposition on CN. Preliminary results have shown the effectivity of NMR to check for correct deposition in MOF@CN composites. More sensitive than PXRD, it can identify non-deposited MOF, as well as differences in deposition mehods. These approaches will allow a comparative study to investigate the interactions in MOF@CN composites, as well as improve on current literature to create a more efficient photocatalytic system.
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国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: