Latest insights on separation and storage of carbon compounds in buildings towards sustainable environment: Recent innovations, challenges, future perspectives and application of machine learning
Throughout the past few decades, scientific agencies have paid a lot of attention to environmental issues such as acid rain, water poisoning, and global warming. In order to solve these environmental problems, metal-organic frameworks (MOFs), which are made up of metal ions and/or clusters attached...
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description | Throughout the past few decades, scientific agencies have paid a lot of attention to environmental issues such as acid rain, water poisoning, and global warming. In order to solve these environmental problems, metal-organic frameworks (MOFs), which are made up of metal ions and/or clusters attached to organic ligands, have shown some promise. With a focus on the usage of MOFs, this paper examines the most recent developments, difficulties, and potential future directions in the separation and storage of carbon compounds in buildings for a sustainable environment. The importance of using MOFs in decarbonizing water systems and lowering environmental concerns in buildings is highlighted in the research. It addresses the most recent developments in the use of MOFs for renewable energy, such as the elimination of dangerous gases like CO2 and CH4 from water systems. The article also looks at how MOFs might be used to decarbonize water systems in structures, with a focus on how carbon-containing compounds are stored chemically and physically using artificial neural network models. MOFs are a potential solution for renewable energy and environmental remediation in buildings because they have special physical and chemical characteristics like adjustable pores, high porosity, and tiny pore size. The report offers insights into existing treatments and invites academics to investigate MOFs' potential for resolving environmental problems in order to create a sustainable environment in buildings.
Microporous MOF with open metal sites for CO2 absorption, Reproduction with permission from Cai et al., (2020).A schematic of iron(III) MBB [Fe3(μ3-O)(H2O)3(−COO)6] and rectangular tetracarboxylate ligand pbpta4- (the yellow cubic crystals represent Fe-pbpta), Copyright (2021) Springer Nature with permission from Verma et al., (2021). [Display omitted]
•MOFs show promise in addressing environmental issues such as acid rain andwater contamination.•Unique crystal structures, high porosity, and small size of pores are some of the most apparent features of MOFs.•This study provides insight into the use of MOFs in the building industry for decarbonization and energy use in buildings.•The challenges related to MOFs use in environmental mitigation were examined and the prospects of commercial and widespread use were discussed. |
doi_str_mv | 10.1016/j.chemosphere.2023.138573 |
format | Article |
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Microporous MOF with open metal sites for CO2 absorption, Reproduction with permission from Cai et al., (2020).A schematic of iron(III) MBB [Fe3(μ3-O)(H2O)3(−COO)6] and rectangular tetracarboxylate ligand pbpta4- (the yellow cubic crystals represent Fe-pbpta), Copyright (2021) Springer Nature with permission from Verma et al., (2021). [Display omitted]
•MOFs show promise in addressing environmental issues such as acid rain andwater contamination.•Unique crystal structures, high porosity, and small size of pores are some of the most apparent features of MOFs.•This study provides insight into the use of MOFs in the building industry for decarbonization and energy use in buildings.•The challenges related to MOFs use in environmental mitigation were examined and the prospects of commercial and widespread use were discussed.</description><identifier>ISSN: 0045-6535</identifier><identifier>EISSN: 1879-1298</identifier><identifier>DOI: 10.1016/j.chemosphere.2023.138573</identifier><identifier>PMID: 37044137</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Artificial neural network (ANN) ; Carbon ; Carbon compounds ; Machine Learning ; Metal-organic frameworks ; Metal-Organic Frameworks - chemistry ; Nanoporous materials ; Organic Chemicals ; Separation ; Storage ; Water ; Water systems</subject><ispartof>Chemosphere (Oxford), 2023-07, Vol.329, p.138573-138573, Article 138573</ispartof><rights>2023</rights><rights>Copyright © 2023. Published by Elsevier Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c377t-8cd7b4a13e0024a91bb7c49cbc9a1e86aab94da79d1327de7f2c51e7730be41d3</citedby><cites>FETCH-LOGICAL-c377t-8cd7b4a13e0024a91bb7c49cbc9a1e86aab94da79d1327de7f2c51e7730be41d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0045653523008408$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37044137$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Su, Zibing</creatorcontrib><creatorcontrib>Xing, Lin</creatorcontrib><creatorcontrib>Ali, H. Elhosiny</creatorcontrib><creatorcontrib>Alkhalifah, Tamim</creatorcontrib><creatorcontrib>Alturise, Fahad</creatorcontrib><creatorcontrib>Khadimallah, Mohamed Amine</creatorcontrib><creatorcontrib>Assilzadeh, Hamid</creatorcontrib><title>Latest insights on separation and storage of carbon compounds in buildings towards sustainable environment: Recent innovations, challenges, future perspectives and application of machine learning</title><title>Chemosphere (Oxford)</title><addtitle>Chemosphere</addtitle><description>Throughout the past few decades, scientific agencies have paid a lot of attention to environmental issues such as acid rain, water poisoning, and global warming. In order to solve these environmental problems, metal-organic frameworks (MOFs), which are made up of metal ions and/or clusters attached to organic ligands, have shown some promise. With a focus on the usage of MOFs, this paper examines the most recent developments, difficulties, and potential future directions in the separation and storage of carbon compounds in buildings for a sustainable environment. The importance of using MOFs in decarbonizing water systems and lowering environmental concerns in buildings is highlighted in the research. It addresses the most recent developments in the use of MOFs for renewable energy, such as the elimination of dangerous gases like CO2 and CH4 from water systems. The article also looks at how MOFs might be used to decarbonize water systems in structures, with a focus on how carbon-containing compounds are stored chemically and physically using artificial neural network models. MOFs are a potential solution for renewable energy and environmental remediation in buildings because they have special physical and chemical characteristics like adjustable pores, high porosity, and tiny pore size. The report offers insights into existing treatments and invites academics to investigate MOFs' potential for resolving environmental problems in order to create a sustainable environment in buildings.
Microporous MOF with open metal sites for CO2 absorption, Reproduction with permission from Cai et al., (2020).A schematic of iron(III) MBB [Fe3(μ3-O)(H2O)3(−COO)6] and rectangular tetracarboxylate ligand pbpta4- (the yellow cubic crystals represent Fe-pbpta), Copyright (2021) Springer Nature with permission from Verma et al., (2021). [Display omitted]
•MOFs show promise in addressing environmental issues such as acid rain andwater contamination.•Unique crystal structures, high porosity, and small size of pores are some of the most apparent features of MOFs.•This study provides insight into the use of MOFs in the building industry for decarbonization and energy use in buildings.•The challenges related to MOFs use in environmental mitigation were examined and the prospects of commercial and widespread use were discussed.</description><subject>Artificial neural network (ANN)</subject><subject>Carbon</subject><subject>Carbon compounds</subject><subject>Machine Learning</subject><subject>Metal-organic frameworks</subject><subject>Metal-Organic Frameworks - chemistry</subject><subject>Nanoporous materials</subject><subject>Organic Chemicals</subject><subject>Separation</subject><subject>Storage</subject><subject>Water</subject><subject>Water systems</subject><issn>0045-6535</issn><issn>1879-1298</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNUcGO0zAQjRCILQu_gMyNAyl2nNQJN1QBi1QJCcHZmtiT1lViB49TxPfxY3g3y4ojpxmN3pv3Zl5RvBJ8K7jYvT1vzQmnQPMJI24rXsmtkG2j5KNiI1rVlaLq2sfFhvO6KXeNbK6KZ0RnzjO56Z4WV1LxuhZSbYrfB0hIiTlP7nhKxIJnhDNESC634C2jFCIckYWBGYh9npowzWHxljKN9YsbrfNHYin8hJiHtFAC56EfkaG_uBj8hD69Y1_R5JpJPlzu9tMbZk4wjuiPmPthSUtENmOkGU1yF6Q7BzDPozOro-xiAnNyHtmIEH1Wfl48GWAkfHFfr4vvHz9829-Uhy-fPu_fH0ojlUpla6zqaxASOa9q6ETfK1N3pjcdCGx3AH1XW1CdFbJSFtVQmUagUpL3WAsrr4vX6945hh9L_pqeHBkcR_AYFtJVy_mu2lVVl6HdCjUxEEUc9BzdBPGXFlzfZqjP-p8M9W2Ges0wc1_eyyz9hPaB-Te0DNivAMzHXhxGTcahN2hdzG_TNrj_kPkDlO66sg</recordid><startdate>202307</startdate><enddate>202307</enddate><creator>Su, Zibing</creator><creator>Xing, Lin</creator><creator>Ali, H. 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Elhosiny ; Alkhalifah, Tamim ; Alturise, Fahad ; Khadimallah, Mohamed Amine ; Assilzadeh, Hamid</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c377t-8cd7b4a13e0024a91bb7c49cbc9a1e86aab94da79d1327de7f2c51e7730be41d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Artificial neural network (ANN)</topic><topic>Carbon</topic><topic>Carbon compounds</topic><topic>Machine Learning</topic><topic>Metal-organic frameworks</topic><topic>Metal-Organic Frameworks - chemistry</topic><topic>Nanoporous materials</topic><topic>Organic Chemicals</topic><topic>Separation</topic><topic>Storage</topic><topic>Water</topic><topic>Water systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Su, Zibing</creatorcontrib><creatorcontrib>Xing, Lin</creatorcontrib><creatorcontrib>Ali, H. Elhosiny</creatorcontrib><creatorcontrib>Alkhalifah, Tamim</creatorcontrib><creatorcontrib>Alturise, Fahad</creatorcontrib><creatorcontrib>Khadimallah, Mohamed Amine</creatorcontrib><creatorcontrib>Assilzadeh, Hamid</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Chemosphere (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Su, Zibing</au><au>Xing, Lin</au><au>Ali, H. Elhosiny</au><au>Alkhalifah, Tamim</au><au>Alturise, Fahad</au><au>Khadimallah, Mohamed Amine</au><au>Assilzadeh, Hamid</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Latest insights on separation and storage of carbon compounds in buildings towards sustainable environment: Recent innovations, challenges, future perspectives and application of machine learning</atitle><jtitle>Chemosphere (Oxford)</jtitle><addtitle>Chemosphere</addtitle><date>2023-07</date><risdate>2023</risdate><volume>329</volume><spage>138573</spage><epage>138573</epage><pages>138573-138573</pages><artnum>138573</artnum><issn>0045-6535</issn><eissn>1879-1298</eissn><abstract>Throughout the past few decades, scientific agencies have paid a lot of attention to environmental issues such as acid rain, water poisoning, and global warming. In order to solve these environmental problems, metal-organic frameworks (MOFs), which are made up of metal ions and/or clusters attached to organic ligands, have shown some promise. With a focus on the usage of MOFs, this paper examines the most recent developments, difficulties, and potential future directions in the separation and storage of carbon compounds in buildings for a sustainable environment. The importance of using MOFs in decarbonizing water systems and lowering environmental concerns in buildings is highlighted in the research. It addresses the most recent developments in the use of MOFs for renewable energy, such as the elimination of dangerous gases like CO2 and CH4 from water systems. The article also looks at how MOFs might be used to decarbonize water systems in structures, with a focus on how carbon-containing compounds are stored chemically and physically using artificial neural network models. MOFs are a potential solution for renewable energy and environmental remediation in buildings because they have special physical and chemical characteristics like adjustable pores, high porosity, and tiny pore size. The report offers insights into existing treatments and invites academics to investigate MOFs' potential for resolving environmental problems in order to create a sustainable environment in buildings.
Microporous MOF with open metal sites for CO2 absorption, Reproduction with permission from Cai et al., (2020).A schematic of iron(III) MBB [Fe3(μ3-O)(H2O)3(−COO)6] and rectangular tetracarboxylate ligand pbpta4- (the yellow cubic crystals represent Fe-pbpta), Copyright (2021) Springer Nature with permission from Verma et al., (2021). [Display omitted]
•MOFs show promise in addressing environmental issues such as acid rain andwater contamination.•Unique crystal structures, high porosity, and small size of pores are some of the most apparent features of MOFs.•This study provides insight into the use of MOFs in the building industry for decarbonization and energy use in buildings.•The challenges related to MOFs use in environmental mitigation were examined and the prospects of commercial and widespread use were discussed.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>37044137</pmid><doi>10.1016/j.chemosphere.2023.138573</doi><tpages>1</tpages></addata></record> |
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subjects | Artificial neural network (ANN) Carbon Carbon compounds Machine Learning Metal-organic frameworks Metal-Organic Frameworks - chemistry Nanoporous materials Organic Chemicals Separation Storage Water Water systems |
title | Latest insights on separation and storage of carbon compounds in buildings towards sustainable environment: Recent innovations, challenges, future perspectives and application of machine learning |
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