• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用原子尺度详细模拟揭示HO对有前景的金属有机框架材料(MOFs)一氧化碳分离性能的影响

Unlocking the Effect of HO on CO Separation Performance of Promising MOFs Using Atomically Detailed Simulations.

作者信息

Erucar Ilknur, Keskin Seda

机构信息

Department of Natural and Mathematical Sciences, Faculty of Engineering, Ozyegin University, Cekmekoy, 34794 Istanbul, Turkey.

Department of Chemical and Biological Engineering, Koc University, Rumelifeneri Yolu, Sariyer, 34450 Istanbul, Turkey.

出版信息

Ind Eng Chem Res. 2020 Feb 19;59(7):3141-3152. doi: 10.1021/acs.iecr.9b05487. Epub 2020 Jan 21.

DOI:10.1021/acs.iecr.9b05487
PMID:32201455
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7076730/
Abstract

Metal organic frameworks (MOFs) have been considered as potential adsorbents for adsorption-based CO/CH and CO/N separations because of their high CO selectivities and high working capacities. HO in flue gas and natural gas streams affects the gas uptake capacities of MOFs. However, the presence of HO is commonly neglected in high-throughput computational screening studies while assessing the CO separation performances of MOFs. In this study, the impact of the presence of HO on the CO separation performances of 13 MOFs that were previously identified as the best adsorbent candidates among several thousands of MOFs was examined. Molecular simulations were used to compute selectivity, working capacity, regenerability, and adsorbent performance score (APS) of MOFs considering separation of binary CO/CH, CO/N, and ternary CO/CH/HO and CO/N/HO mixtures. The results showed that introduction of HO as the third component into binary CO/CH and CO/N mixtures significantly affected the adsorbent evaluation metrics of MOFs that have strong affinity toward HO because of the presence of specific functional groups and/or extra framework anions in the framework. Remarkable increases in CO/N selectivities of MOFs were observed in the presence of HO. On the other hand, simulations performed using MOFs that are preloaded with HO to mimic the exposure of MOFs to humidity prior to gas adsorption revealed drastic decreases in CO working capacities and APSs of MOFs both for CO/CH and CO/N separations. These results will be useful for the design and development of efficient MOF adsorbents for CO capture under humid conditions.

摘要

金属有机框架材料(MOFs)因其对CO的高选择性和高工作容量,被认为是基于吸附的CO/CH和CO/N分离的潜在吸附剂。烟道气和天然气流中的H₂O会影响MOFs的气体吸附容量。然而,在高通量计算筛选研究中,在评估MOFs的CO分离性能时,H₂O的存在通常被忽略。在本研究中,考察了H₂O的存在对13种MOFs的CO分离性能的影响,这13种MOFs先前在数千种MOFs中被确定为最佳吸附剂候选物。使用分子模拟来计算MOFs的选择性、工作容量、再生性和吸附剂性能得分(APS),考虑二元CO/CH、CO/N以及三元CO/CH/H₂O和CO/N/H₂O混合物的分离。结果表明,将H₂O作为第三组分引入二元CO/CH和CO/N混合物中,会显著影响由于骨架中存在特定官能团和/或额外骨架阴离子而对H₂O具有强亲和力的MOFs的吸附剂评估指标。在H₂O存在的情况下,观察到MOFs的CO/N选择性显著增加。另一方面,使用预先负载H₂O的MOFs进行模拟,以模拟MOFs在气体吸附之前暴露于湿度环境的情况,结果表明,对于CO/CH和CO/N分离,MOFs的CO工作容量和APS都大幅下降。这些结果将有助于设计和开发在潮湿条件下用于CO捕获的高效MOF吸附剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee77/7076730/80960e6a16d1/ie9b05487_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee77/7076730/c008920c205e/ie9b05487_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee77/7076730/1d3c14a45b87/ie9b05487_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee77/7076730/fd9355ce73e1/ie9b05487_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee77/7076730/b059bad6c0ea/ie9b05487_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee77/7076730/be2d01056908/ie9b05487_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee77/7076730/33b495a644fe/ie9b05487_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee77/7076730/80960e6a16d1/ie9b05487_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee77/7076730/c008920c205e/ie9b05487_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee77/7076730/1d3c14a45b87/ie9b05487_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee77/7076730/fd9355ce73e1/ie9b05487_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee77/7076730/b059bad6c0ea/ie9b05487_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee77/7076730/be2d01056908/ie9b05487_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee77/7076730/33b495a644fe/ie9b05487_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee77/7076730/80960e6a16d1/ie9b05487_0007.jpg

相似文献

1
Unlocking the Effect of HO on CO Separation Performance of Promising MOFs Using Atomically Detailed Simulations.利用原子尺度详细模拟揭示HO对有前景的金属有机框架材料(MOFs)一氧化碳分离性能的影响
Ind Eng Chem Res. 2020 Feb 19;59(7):3141-3152. doi: 10.1021/acs.iecr.9b05487. Epub 2020 Jan 21.
2
Database for CO Separation Performances of MOFs Based on Computational Materials Screening.基于计算材料筛选的 MOFs 对 CO2 分离性能的数据库。
ACS Appl Mater Interfaces. 2018 May 23;10(20):17257-17268. doi: 10.1021/acsami.8b04600. Epub 2018 May 14.
3
Computational Screening of MOFs for Acetylene Separation.用于乙炔分离的金属有机框架材料的计算筛选
Front Chem. 2018 Feb 27;6:36. doi: 10.3389/fchem.2018.00036. eCollection 2018.
4
Computational Screening of Metal-Organic Frameworks for Membrane-Based CO/N/HO Separations: Best Materials for Flue Gas Separation.用于基于膜的CO/N₂/H₂O分离的金属有机框架的计算筛选:烟气分离的最佳材料
J Phys Chem C Nanomater Interfaces. 2018 Aug 2;122(30):17347-17357. doi: 10.1021/acs.jpcc.8b05416. Epub 2018 Jul 3.
5
High-Throughput Computational Screening of the Metal Organic Framework Database for CH/H Separations.高通量计算筛选金属有机骨架数据库以进行 CH/H 分离。
ACS Appl Mater Interfaces. 2018 Jan 31;10(4):3668-3679. doi: 10.1021/acsami.7b18037. Epub 2018 Jan 18.
6
Effects of Force Field Selection on the Computational Ranking of MOFs for CO Separations.力场选择对用于CO分离的金属有机框架材料计算排名的影响
Ind Eng Chem Res. 2018 Feb 14;57(6):2298-2309. doi: 10.1021/acs.iecr.7b04792. Epub 2018 Jan 18.
7
Computational investigation of multifunctional MOFs for adsorption and membrane-based separation of CF/CH, CH/H, CH/N, and N/H mixtures.用于吸附以及基于膜分离CF/CH、CH/H、CH/N和N/H混合物的多功能金属有机框架的计算研究
Mol Syst Des Eng. 2022 Sep 22;7(12):1707-1721. doi: 10.1039/d2me00130f. eCollection 2022 Nov 28.
8
Evaluating CH/N Separation Performances of Hundreds of Thousands of Real and Hypothetical MOFs by Harnessing Molecular Modeling and Machine Learning.利用分子建模和机器学习评估数十万种真实和假设的金属有机框架材料的CH/N分离性能。
ACS Appl Mater Interfaces. 2025 Mar 26;17(12):17691-17702. doi: 10.1021/acsami.3c13533. Epub 2023 Dec 11.
9
Multi-Level Computational Screening of Designed MOFs for Efficient SO Capture.用于高效SO捕获的设计金属有机框架的多级计算筛选
J Phys Chem C Nanomater Interfaces. 2022 Jun 16;126(23):9875-9888. doi: 10.1021/acs.jpcc.2c00227. Epub 2022 Jun 3.
10
High-Throughput Screening of MOF Adsorbents and Membranes for H Purification and CO Capture.高通量筛选 MOF 吸附剂和膜用于 H 纯化和 CO 捕获。
ACS Appl Mater Interfaces. 2018 Oct 3;10(39):33693-33706. doi: 10.1021/acsami.8b12746. Epub 2018 Sep 19.

引用本文的文献

1
Capturing and labeling CO in a jar: mechanochemical O-enrichment and ssNMR study of sodium and potassium (bi)carbonate salts.在罐中捕获并标记一氧化碳:碳酸氢钠和碳酸氢钾盐的机械化学氧富集及固体核磁共振研究
Chem Sci. 2025 Apr 21. doi: 10.1039/d4sc08491h.
2
Active learning of alchemical adsorption simulations; towards a universal adsorption model.炼金术吸附模拟的主动学习;迈向通用吸附模型。
Chem Sci. 2024 Oct 8;15(42):17671-84. doi: 10.1039/d4sc02156h.
3
Efficient Modeling of Water Adsorption in MOFs Using Interpolated Transition Matrix Monte Carlo.

本文引用的文献

1
Fluorinated porous organic frameworks for improved CO and CH capture.用于改善一氧化碳和甲烷捕获的氟化多孔有机骨架材料。
Chem Commun (Camb). 2019 Aug 7;55(61):8999-9002. doi: 10.1039/c9cc03248g. Epub 2019 Jul 10.
2
High-Throughput Screening of MOF Adsorbents and Membranes for H Purification and CO Capture.高通量筛选 MOF 吸附剂和膜用于 H 纯化和 CO 捕获。
ACS Appl Mater Interfaces. 2018 Oct 3;10(39):33693-33706. doi: 10.1021/acsami.8b12746. Epub 2018 Sep 19.
3
Database for CO Separation Performances of MOFs Based on Computational Materials Screening.
使用插值过渡矩阵蒙特卡罗方法对金属有机框架中水分吸附进行高效建模。
ACS Appl Mater Interfaces. 2024 May 15;16(19):25559-25567. doi: 10.1021/acsami.4c02616. Epub 2024 May 6.
4
A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture.一种基于分子扩散模型的生成式人工智能框架,用于设计用于碳捕获的金属有机框架。
Commun Chem. 2024 Feb 14;7(1):21. doi: 10.1038/s42004-023-01090-2.
5
Efficient Generation of Large Collections of Metal-Organic Framework Structures Containing Well-Defined Point Defects.高效生成包含明确点缺陷的大量金属有机骨架结构集合。
J Phys Chem Lett. 2023 Jul 27;14(29):6658-6665. doi: 10.1021/acs.jpclett.3c01524. Epub 2023 Jul 18.
6
Metal-Organic Frameworks for Liquid Phase Applications.用于液相应用的金属有机框架
Adv Sci (Weinh). 2021 Jan 21;8(5):2003143. doi: 10.1002/advs.202003143. eCollection 2021 Mar.
7
Do New MOFs Perform Better for CO Capture and H Purification? Computational Screening of the Updated MOF Database.新型金属有机框架材料在二氧化碳捕获和氢气纯化方面表现更佳吗?更新后的金属有机框架材料数据库的计算筛选
ACS Appl Mater Interfaces. 2020 Sep 16;12(37):41567-41579. doi: 10.1021/acsami.0c12330. Epub 2020 Sep 1.
基于计算材料筛选的 MOFs 对 CO2 分离性能的数据库。
ACS Appl Mater Interfaces. 2018 May 23;10(20):17257-17268. doi: 10.1021/acsami.8b04600. Epub 2018 May 14.
4
Engineered Transport in Microporous Materials and Membranes for Clean Energy Technologies.用于清洁能源技术的微孔材料和膜中的工程传输。
Adv Mater. 2018 Feb;30(8). doi: 10.1002/adma.201704953. Epub 2018 Jan 8.
5
High-Throughput Computational Screening of the Metal Organic Framework Database for CH/H Separations.高通量计算筛选金属有机骨架数据库以进行 CH/H 分离。
ACS Appl Mater Interfaces. 2018 Jan 31;10(4):3668-3679. doi: 10.1021/acsami.7b18037. Epub 2018 Jan 18.
6
CO Capture and Separations Using MOFs: Computational and Experimental Studies.使用 MOFs 进行 CO 捕获和分离:计算和实验研究。
Chem Rev. 2017 Jul 26;117(14):9674-9754. doi: 10.1021/acs.chemrev.6b00626. Epub 2017 Apr 10.
7
In silico discovery of metal-organic frameworks for precombustion CO capture using a genetic algorithm.使用遗传算法对预燃烧 CO 捕获进行金属有机骨架的计算发现。
Sci Adv. 2016 Oct 14;2(10):e1600909. doi: 10.1126/sciadv.1600909. eCollection 2016 Oct.
8
High-Throughput Screening of Metal-Organic Frameworks for CO Capture in the Presence of Water.高通量筛选水存在下用于 CO 捕获的金属有机骨架。
Langmuir. 2016 Oct 11;32(40):10368-10376. doi: 10.1021/acs.langmuir.6b02803. Epub 2016 Sep 27.
9
Porous Metal-Organic Frameworks for Gas Storage and Separation: What, How, and Why?用于气体存储与分离的多孔金属有机框架材料:是什么、如何实现以及为何如此?
J Phys Chem Lett. 2014 Oct 16;5(20):3468-79. doi: 10.1021/jz501586e. Epub 2014 Sep 29.
10
Kinetic Stability of MOF-5 in Humid Environments: Impact of Powder Densification, Humidity Level, and Exposure Time.MOF-5在潮湿环境中的动力学稳定性:粉末致密化、湿度水平和暴露时间的影响
Langmuir. 2015 May 5;31(17):4988-95. doi: 10.1021/acs.langmuir.5b00833. Epub 2015 Apr 21.