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Electrical gas sensors based on metal–organic frameworks for breath diagnosis
[Display omitted] •Abnormal concentrations of some components in exhaled gases may indicate the occurrence of disease.•The main respiratory markers include ammonia, nitric oxide, hydrogen sulfide, acetone, and formaldehyde.•This review details the development of exhaled gas analysis based on MOF ele...
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Published in: | Microchemical journal 2024-04, Vol.199, p.109992, Article 109992 |
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container_title | Microchemical journal |
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creator | Luo, Yan Xu, Zhong He, Xing-Lu Tang, Xi-Ping Wu, Ning-Yuan Huang, Du Dong, Min Huang, Jin |
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•Abnormal concentrations of some components in exhaled gases may indicate the occurrence of disease.•The main respiratory markers include ammonia, nitric oxide, hydrogen sulfide, acetone, and formaldehyde.•This review details the development of exhaled gas analysis based on MOF electrical sensors.•Speculation and discussion on the development prospects and challenges of breath analysis based on MOF electrical sensor.
The components of human-breathed gas have a direct impact on disease monitoring, and non-invasive breath analysis is a growing area of interest. More than ever, sensors with high sensitivity, excellent selectivity, affordability, and portability are in demand. Metal-organic frameworks (MOFs), which have high porosity, exceptional physical chemistry properties, and designability, as well as potent interactions with gas molecules, make them ideal for use in the sensing field. The various respiratory illness markers are outlined in this review along with the rationale behind MOFs-based electrical gas sensors and their advancements in various disease monitoring. Finally, the difficulties of employing MOFs-based electrical gas sensors for illness monitoring in clinical practice are discussed. |
doi_str_mv | 10.1016/j.microc.2024.109992 |
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•Abnormal concentrations of some components in exhaled gases may indicate the occurrence of disease.•The main respiratory markers include ammonia, nitric oxide, hydrogen sulfide, acetone, and formaldehyde.•This review details the development of exhaled gas analysis based on MOF electrical sensors.•Speculation and discussion on the development prospects and challenges of breath analysis based on MOF electrical sensor.
The components of human-breathed gas have a direct impact on disease monitoring, and non-invasive breath analysis is a growing area of interest. More than ever, sensors with high sensitivity, excellent selectivity, affordability, and portability are in demand. Metal-organic frameworks (MOFs), which have high porosity, exceptional physical chemistry properties, and designability, as well as potent interactions with gas molecules, make them ideal for use in the sensing field. The various respiratory illness markers are outlined in this review along with the rationale behind MOFs-based electrical gas sensors and their advancements in various disease monitoring. Finally, the difficulties of employing MOFs-based electrical gas sensors for illness monitoring in clinical practice are discussed.</description><identifier>ISSN: 0026-265X</identifier><identifier>DOI: 10.1016/j.microc.2024.109992</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Breath analysis ; Electricity conversion ; Gas sensor ; Health monitoring ; Metal-organic frameworks (MOFs)</subject><ispartof>Microchemical journal, 2024-04, Vol.199, p.109992, Article 109992</ispartof><rights>2024 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c255t-2453cf64d75323663ba3c6d107748e2f8b2f7109adb1ae4322c0e313188917793</cites><orcidid>0000-0001-5654-2464</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Luo, Yan</creatorcontrib><creatorcontrib>Xu, Zhong</creatorcontrib><creatorcontrib>He, Xing-Lu</creatorcontrib><creatorcontrib>Tang, Xi-Ping</creatorcontrib><creatorcontrib>Wu, Ning-Yuan</creatorcontrib><creatorcontrib>Huang, Du</creatorcontrib><creatorcontrib>Dong, Min</creatorcontrib><creatorcontrib>Huang, Jin</creatorcontrib><title>Electrical gas sensors based on metal–organic frameworks for breath diagnosis</title><title>Microchemical journal</title><description>[Display omitted]
•Abnormal concentrations of some components in exhaled gases may indicate the occurrence of disease.•The main respiratory markers include ammonia, nitric oxide, hydrogen sulfide, acetone, and formaldehyde.•This review details the development of exhaled gas analysis based on MOF electrical sensors.•Speculation and discussion on the development prospects and challenges of breath analysis based on MOF electrical sensor.
The components of human-breathed gas have a direct impact on disease monitoring, and non-invasive breath analysis is a growing area of interest. More than ever, sensors with high sensitivity, excellent selectivity, affordability, and portability are in demand. Metal-organic frameworks (MOFs), which have high porosity, exceptional physical chemistry properties, and designability, as well as potent interactions with gas molecules, make them ideal for use in the sensing field. The various respiratory illness markers are outlined in this review along with the rationale behind MOFs-based electrical gas sensors and their advancements in various disease monitoring. Finally, the difficulties of employing MOFs-based electrical gas sensors for illness monitoring in clinical practice are discussed.</description><subject>Breath analysis</subject><subject>Electricity conversion</subject><subject>Gas sensor</subject><subject>Health monitoring</subject><subject>Metal-organic frameworks (MOFs)</subject><issn>0026-265X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kMtKxDAYhbNQcLy8gYu8QMdc2qTdCDKMFxiYjYK7kCZ_xoxtI_mL4s538A19EjvUtasDB87hnI-QS86WnHF1tV_20eXkloKJcrKaphFHZMGYUIVQ1fMJOUXcM8Z0JfiCbNcduDFHZzu6s0gRBkwZaWsRPE0D7WG03c_Xd8o7O0RHQ7Y9fKT8ijSkTNsMdnyhPtrdkDDiOTkOtkO4-NMz8nS7flzdF5vt3cPqZlM4UVVjIcpKuqBKrysppFKytdIpz5nWZQ0i1K0IehpvfcstlFIIx0Byyeu64Vo38oyUc-_0FTFDMG859jZ_Gs7MAYTZmxmEOYAwM4gpdj3HYNr2HiEbdBEGBz7miYPxKf5f8AunImvP</recordid><startdate>202404</startdate><enddate>202404</enddate><creator>Luo, Yan</creator><creator>Xu, Zhong</creator><creator>He, Xing-Lu</creator><creator>Tang, Xi-Ping</creator><creator>Wu, Ning-Yuan</creator><creator>Huang, Du</creator><creator>Dong, Min</creator><creator>Huang, Jin</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0001-5654-2464</orcidid></search><sort><creationdate>202404</creationdate><title>Electrical gas sensors based on metal–organic frameworks for breath diagnosis</title><author>Luo, Yan ; Xu, Zhong ; He, Xing-Lu ; Tang, Xi-Ping ; Wu, Ning-Yuan ; Huang, Du ; Dong, Min ; Huang, Jin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c255t-2453cf64d75323663ba3c6d107748e2f8b2f7109adb1ae4322c0e313188917793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Breath analysis</topic><topic>Electricity conversion</topic><topic>Gas sensor</topic><topic>Health monitoring</topic><topic>Metal-organic frameworks (MOFs)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Luo, Yan</creatorcontrib><creatorcontrib>Xu, Zhong</creatorcontrib><creatorcontrib>He, Xing-Lu</creatorcontrib><creatorcontrib>Tang, Xi-Ping</creatorcontrib><creatorcontrib>Wu, Ning-Yuan</creatorcontrib><creatorcontrib>Huang, Du</creatorcontrib><creatorcontrib>Dong, Min</creatorcontrib><creatorcontrib>Huang, Jin</creatorcontrib><collection>CrossRef</collection><jtitle>Microchemical journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Luo, Yan</au><au>Xu, Zhong</au><au>He, Xing-Lu</au><au>Tang, Xi-Ping</au><au>Wu, Ning-Yuan</au><au>Huang, Du</au><au>Dong, Min</au><au>Huang, Jin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Electrical gas sensors based on metal–organic frameworks for breath diagnosis</atitle><jtitle>Microchemical journal</jtitle><date>2024-04</date><risdate>2024</risdate><volume>199</volume><spage>109992</spage><pages>109992-</pages><artnum>109992</artnum><issn>0026-265X</issn><abstract>[Display omitted]
•Abnormal concentrations of some components in exhaled gases may indicate the occurrence of disease.•The main respiratory markers include ammonia, nitric oxide, hydrogen sulfide, acetone, and formaldehyde.•This review details the development of exhaled gas analysis based on MOF electrical sensors.•Speculation and discussion on the development prospects and challenges of breath analysis based on MOF electrical sensor.
The components of human-breathed gas have a direct impact on disease monitoring, and non-invasive breath analysis is a growing area of interest. More than ever, sensors with high sensitivity, excellent selectivity, affordability, and portability are in demand. Metal-organic frameworks (MOFs), which have high porosity, exceptional physical chemistry properties, and designability, as well as potent interactions with gas molecules, make them ideal for use in the sensing field. The various respiratory illness markers are outlined in this review along with the rationale behind MOFs-based electrical gas sensors and their advancements in various disease monitoring. Finally, the difficulties of employing MOFs-based electrical gas sensors for illness monitoring in clinical practice are discussed.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.microc.2024.109992</doi><orcidid>https://orcid.org/0000-0001-5654-2464</orcidid></addata></record> |
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subjects | Breath analysis Electricity conversion Gas sensor Health monitoring Metal-organic frameworks (MOFs) |
title | Electrical gas sensors based on metal–organic frameworks for breath diagnosis |
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