2021
DOI: 10.1002/pat.5553
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Organic compound gas detector based on polylactic acid/poly (styrene‐co‐acrylonitrile)/multi‐walled carbon nanotube blend composite with co‐continuous microstructure

Abstract: A conductive polymer composite (CPC) based on polylactic acid (PLA)/poly (styrene‐co‐acrylonitrile) (SAN)/multi‐walled carbon nanotubes (MWNT) blend was prepared and used as a sensitive layer for detecting methanol, ethanol, toluene, and water vapor. The response behavior of polymer blend nanocomposite in comparison with PLA‐MWNT and SAN‐MWNT sensitive layers was studied as well as the influence of solution blending on the morphology, electrical behavior, and performance parameters of prepared sensitive layers… Show more

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Cited by 3 publications
(1 citation statement)
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“…Electrically conductive polymer composites have received great attention owing to their promising applications in many fields, [1][2][3] including antistatic materials, 4 electromagnetic interference shielding, 5,6 self-regulated heating materials, 7 and sensors. 8 Binary conductive polymer systems consisting of conducting fillers such as carbon black (CB), 9,10 graphite, 11,12 multi-walled carbon nanotubes (MWCNTs), [13][14][15] and carbon fibers 16,17 in a polymer matrix can create polymer composites that are tough and flexible with appropriate electrical conductivity based on their applications.…”
Section: Introductionmentioning
confidence: 99%
“…Electrically conductive polymer composites have received great attention owing to their promising applications in many fields, [1][2][3] including antistatic materials, 4 electromagnetic interference shielding, 5,6 self-regulated heating materials, 7 and sensors. 8 Binary conductive polymer systems consisting of conducting fillers such as carbon black (CB), 9,10 graphite, 11,12 multi-walled carbon nanotubes (MWCNTs), [13][14][15] and carbon fibers 16,17 in a polymer matrix can create polymer composites that are tough and flexible with appropriate electrical conductivity based on their applications.…”
Section: Introductionmentioning
confidence: 99%