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• W3203790106 endingPage "132681" @default.
• W3203790106 startingPage "132681" @default.
• W3203790106 abstract "This paper introduces composite microfibers that can distinguish liquid, normal, aliphatic alcohols with high selectivity. The composite microfibers are composed of a hydrophilic agarose polymer and carbon nanotube (CNT) fillers. The CNTs distributed in the CNT-agarose composite microfiber (CAF) enable the material to sensitively change its electrical conductivity upon exposure to alcohols, induced by a change in the volume of the polymer matrix. When a CAF is highly hydrated, its resistance distinctly changes depending on the molecular weight of the alcohol via competitive mass transfer of alcohol and water. As a result, highly hydrated CAFs can selectively distinguish normal, aliphatic alcohols ranging from methanol to 1-pentanol. A provisional mechanism for the alcohol-dependent change in resistance of hydrated CAFs is suggested based on the permeation of alcohols and the discharge of water and is supported by numerical calculations using a simple diffusion model. The effects of the CNT loading ratio and the as-prepared CAF diameter on the alcohol-dependent resistance change are investigated. Furthermore, the highly hydrated CAFs are used to determine the volume ratios of binary mixtures of methanol/ethanol and ethanol/water. Finally, we demonstrate that a CAF alcohol sensor can identify commercial liquors with different alcohol contents." @default.
• W3203790106 created "2021-10-11" @default.
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• W3203790106 date "2022-02-01" @default.
• W3203790106 modified "2023-10-17" @default.
• W3203790106 title "Alcohol-sensing microfiber: Dependence of conductance of a hydrated composite fiber on normal aliphatic alcohol" @default.
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• W3203790106 doi "https://doi.org/10.1016/j.cej.2021.132681" @default.
• W3203790106 hasPublicationYear "2022" @default.
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