Data underlying the publication: Capturing CO2 under Dry and Humid Conditions: When Does the Parent MOF Outperform the MTV MOF?

This dataset supports a study investigating the performance of multivariate (MTV) metal–organic frameworks (MOFs) versus their parent MOFs in capturing CO₂ under dry and humid conditions. The research aims to address the challenge of water interference during post-combustion CO₂ capture by comparing MOFs functionalized with amino and methyl groups. Data collected includes PXRD, TGA, IR, XPS, elemental analysis, adsorption data(N2, CO2, H2O, and CO2-H2O competitive adsorption), SEM and 3D-ED.

本数据集为一项研究提供数据支撑，该研究探究多变量（multivariate, MTV）金属有机框架（metal–organic frameworks, MOFs）与其母体MOFs在干燥与潮湿环境下捕获二氧化碳的性能差异。本研究旨在通过对比氨基与甲基官能化MOFs的表现，解决燃烧后二氧化碳捕获过程中的水干扰难题。所采集的数据包括X射线粉末衍射（Powder X-ray Diffraction, PXRD）、热重分析（Thermogravimetric Analysis, TGA）、红外光谱（Infrared Spectroscopy, IR）、X射线光电子能谱（X-ray Photoelectron Spectroscopy, XPS）、元素分析结果，以及吸附数据（氮气、二氧化碳、水蒸气吸附与二氧化碳-水蒸气竞争性吸附）、扫描电子显微镜（Scanning Electron Microscopy, SEM）表征数据与三维电子衍射（3D Electron Diffraction, 3D-ED）数据。