CO2 capture from wet flue gas using transition metal inserted porphyrin-based metal-organic frameworks as efficient adsorbents-Reference-Cited by-同舟云学术

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CO2 capture from wet flue gas using transition metal inserted porphyrin-based metal-organic frameworks as efficient adsorbents

Published:2022-11 Issue: Volume:301 Page:122058
ISSN:1383-5866
Container-title:Separation and Purification Technology
language:en
Short-container-title:Separation and Purification Technology

Author:

Shang Shanshan,Yang Chao,Sun Mingzhe,Tao Zeyu,Hanif Aamir,Gu Qinfen,Shang Jin

Funder

City University of Hong Kong

Research Grants Council, University Grants Committee

Science, Technology and Innovation Commission of Shenzhen Municipality

Publisher

Elsevier BV

Subject

Filtration and Separation,Analytical Chemistry

Reference68 articles.

1. CO2 Capture in Metal-Organic Framework Adsorbents: An Engineering Perspective;Hu;Adv. Sustain. Syst.,2019

2. Carbon capture and storage (CCS): the way forward;Bui;Energy Environ. Sci.,2018

3. Observation of binding of carbon dioxide to nitro-decorated metal–organic frameworks;Duong;Chem. Sci.,2020

4. Discriminative separation of gases by a “molecular trapdoor” mechanism in chabazite zeolites;Shang;J. Am. Chem. Soc.,2012

5. Determination of Composition Range for “Molecular Trapdoor” Effect in Chabazite Zeolite;Shang;J. Phys. Chem. C,2013

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Boosting CO2 separation in porphyrinic MOF-based mixed matrix membranes via central metal atom integration;Carbon Capture Science & Technology;2024-12

2. Efficient capture of CO2 from flue gas and biogas by moisture-stable adenine-based ultramicroporous metal-organic framework;Journal of Environmental Chemical Engineering;2024-10

3. Developing a low-carbon, scalable strategy for the conversion of spent batteries into metal-organic framework-74 for CO2 capture;Resources, Conservation and Recycling;2024-10

4. Recent progress on advanced solid adsorbents for CO2 capture: From mechanism to machine learning;Materials Today Sustainability;2024-09

5. Computational screening of metal–organic frameworks for separation of CO2 and N2 from wet flue gas;Journal of Materials Science;2024-05-16

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