2011
DOI: 10.1016/j.snb.2011.07.004
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Multifilament fibres of poly(ɛ-caprolactone)/poly(lactic acid) blends with multiwalled carbon nanotubes as sensor materials for ethyl acetate and acetone

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Cited by 32 publications
(21 citation statements)
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“…The past two decades have seen the applications of CNTs in the following fields: nanoelectric devices, sensor materials, structural composites and compression-moulded plates 31,32 . For these detailed applications, readers can find in these review paper 14,28,33 .…”
Section: Carbon Nanotubes Compositesmentioning
confidence: 99%
“…The past two decades have seen the applications of CNTs in the following fields: nanoelectric devices, sensor materials, structural composites and compression-moulded plates 31,32 . For these detailed applications, readers can find in these review paper 14,28,33 .…”
Section: Carbon Nanotubes Compositesmentioning
confidence: 99%
“…Their extraordinarily high aspect ratio allows the material properties to be enhanced with a low percentage of incorporated nanofillers compared to other carbon fillers, such as carbon black [5]. To form CNT-based fibres, the nanofillers are often incorporated in conventional polymer matrices, such as polypropylene [6], polyamide [7], polylactic acid [8] or even polymethylmethacrylate [9] mainly by electrospinning or melt spinning. These CNT-based fibres can be used as sensors due to the percolating network formed inside [10].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the detection of acetone gas is also of great significance in various other applications, such as industrial production, environmental monitoring, and forecast of toxic gas or volatility poisonous chemical leakage. Until now, many efforts 30 have been devoted to develop acetone gas sensors using various sensing materials, such as polymer [6][7] , ceramics [8][9] , metal oxide semiconductor (MOS) [10][11][12][13][14] , carbon nanotube-based composites [15][16][17] , but they suffer from specific drawbacks such as high-cost, step complexity and time-consuming, limiting their widely 35 applications.…”
mentioning
confidence: 99%