2023
DOI: 10.1016/j.snb.2023.134197
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ZIF-8/MWCNT-nanocomposite based-resistive sensor for highly selective detection of acetone in parts-per-billion: Potential noninvasive diagnosis of diabetes

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Cited by 8 publications
(2 citation statements)
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“…The second strategy utilizes the unique porosity of 3D nonconductive MOFs to improve the adsorption of target molecules or to offer a sieving effect for gas mixtures . This is achieved by combining them with other conductive materials such as graphene, carbon nanotubes, SMOs, and polymers. ,, Table provides a summary of the MOF-based composites discussed in this Focus Review, highlighting their use and sensing mechanism as room-temperature chemiresistors.…”
Section: Materials Development In Mof-based Chemiresistorsmentioning
confidence: 99%
“…The second strategy utilizes the unique porosity of 3D nonconductive MOFs to improve the adsorption of target molecules or to offer a sieving effect for gas mixtures . This is achieved by combining them with other conductive materials such as graphene, carbon nanotubes, SMOs, and polymers. ,, Table provides a summary of the MOF-based composites discussed in this Focus Review, highlighting their use and sensing mechanism as room-temperature chemiresistors.…”
Section: Materials Development In Mof-based Chemiresistorsmentioning
confidence: 99%
“…The unique characteristics of MOFs, distinguished by their ultrahigh surface area, tunable structures, diverse chemical functionality, and varied optical properties, position them as frontrunners in nanomaterial research. These crystalline networks, comprising metal ions coordinated with organic ligands, offer versatility that allows researchers to customize MOFs for numerous applications, such as gas storage, separation, catalysis, and sensing. They are particularly promising for photodetection applications due to their high surface area and amenability to modification. The inclusion of MOFs in photodetector designs can enhance the spectral selectivity and sensitivity.…”
Section: Introductionmentioning
confidence: 99%