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Recent Advances of MOF-Based Nanoarchitectonics for Chemiresistive Gas Sensors
| Citace: |
BHALIYA, JD. SHAH, VR. PATEL, G. DESHMUKH, KAR. Recent Advances of MOF-Based Nanoarchitectonics for Chemiresistive Gas Sensors. Journal of Inorganic and Organometallic Polymers and Materials, 2023, roč. 33, č. 6, s. 1453-1494. ISSN: 1574-1443
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| Druh: | ČLÁNEK |
| Jazyk publikace: | eng |
| Anglický název: | Recent Advances of MOF-Based Nanoarchitectonics for Chemiresistive Gas Sensors |
| Rok vydání: | 2023 |
| Autoři: | Jaydip D. Bhaliya , Vraj R. Shah , Gautam Patel , Dr. Kalim Abdul Rashid Deshmukh |
| Abstrakt EN: | It is sad but true that, as industrialization increases, a large number of hazardous gases are discharged into the environment, which can cause major health problems relating to respiratory disorders. Thus, to eliminate this pressing issue constant monitoring of air quality is mandatory, for this gas sensors play a huge role. There have been various gas sensors developed till now with respect to high sensitivity and selectivity. However, a sensor which having properties of high surface-to-volume ratio, good reactivity, long life cycles, and so on is difficult to produce. To remove this issue, a metal organic framework (MOF) can be utilized to measure various analytes as it has high sensitivity and selectivity. Further to upgrade the properties of a sensor in terms of optimum pore size, and high surface reactivity, which cannot only create a sensor with high efficiency, but also reduce energy consumption and maintenance, nanostructures have been incorporated into the MOFs. Furthermore, numerous reviews on gas sensing using MOF-based materials have been published. Only chemiresistive-based nanostructures embedded in MOF have yet to be described. In a nutshell, this review elicits thorough insightful details regarding advancements in MOF-derived nanostructure-based gas sensors for the measurement of various gas analytes, as well as the chemical mechanism, challenges associated with it, factors impacting the gas sensing process, and morphological data, which are also explained. |
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