Influence of different carbon allotrope filler on the VOC sensitivity of polymer composite

Šakale, Gita; Stepiņa, Santa; Rēvalde, Gita; Klemenoks, Igors; Guzlēna, Sandra; Knite, Māris

doi:10.1088/1757-899x/500/1/012014

Cited by 1 publication

(2 citation statements)

References 14 publications

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“…The change in these composite parameters depends on both the composition and the composite manufacturing method. Influence of different carbon allotrope filler on the VOC sensitivity of polymer composite has been investigated in our recent paper [4]. Previous researches made by Zavickis et.…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Matrix Cross-Linking Degree on Chemo-Resistive Properties of Natural Rubber-Carbon Nanostructure Composite

Stepiņa

Klemenoks

Šakale

et al. 2021

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The aim of this work is to investigate chemo-resistivity properties of natural rubber-carbon nanostructure composite, that’s why a change of diffusion characteristics and reversibility of electro-chemical properties of the composite with different degree values of crosslinks have been analysed. The composites are made from natural rubber (polyisoprene) as matrix material and high structure carbon black as electro-conductive filler. In order to investigate diffusion characteristics of volatile organic compounds (VOC) in relation to chemo-resistive response of composites simultaneous mass, length and electrical resistance change measurements of the samples, when samples are held in VOC and after exposures to VOC were carried out. Electrical resistance increase mechanism in the composite advances with the composite structure development during vulcanization.

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Section: Introductionmentioning

confidence: 99%

“…It is very necessary to monitor air quality around us. Our previous studies are dedicated to VOC sensor material development and testing [4]- [11]. In this study natural rubber-carbon nanostructure composites with different matrix crosslinking degree were created and investigated for possible applying in chemo-resistive sensing systems.…”

Section: Introductionmentioning

confidence: 99%