Modeling and experimental testing of the effect of solvent absorption on the electric properties of styrene butadiene rubber/carbon black chemical sensors

Carrillo, Antonio; Martín-Domínguez, Ignacio R.; Márquez‐Lucero, Alfredo

doi:10.1016/j.snb.2005.03.060

Cited by 20 publications

(6 citation statements)

References 44 publications

(81 reference statements)

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“…The response modeling of conducting composite polymer (CCP) sensor involves combining application of general effective medium theory and thermodynamics to describe electrical conduction along conducting percolation network embedded in polymer matrix [21]. The thermodynamic behavior of polymer matrix in CCP film in presence of chemical interaction with vapor analytes has been explored with Flory-Huggins theory and Freundlich isotherm [22,23]. The Flory-Huggins theory explains chemical vapor induced swelling of the host polymer matrix while the Freundlich isotherm depicts the surface adsorption of chemical vapor in the polymer composite.…”

Section: Power Scaling Prompted By Ccp Sensor Behaviormentioning

confidence: 99%

Power Scaling of Chemiresistive Sensor Array Data for Odor Classification

Jha¹,

Yadava²

2011

JPRR

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The steady state responses of chemical sensors like the tin-oxide and composite conducting polymer sensors exhibit power law dependency on the vapor concentration. In this research, it is shown that linearization of measured (raw) sensor signals by an inverse power scaling improves class separability in feature space, hence the classification efficiency of electronic noses based on these sensors. The follow up data processing is done by dimensional autoscaling, principal component analysis and backpropagation neural network. The data from three tin-oxide sensor array and one CPC sensor array collected from published sources are utilized. It is found that by preprocessing the data according to the suggested power law improves class separability and classification efficiency. An improvement of 14% to 16% is obtained for tin-oxide sensor array and of 33% for conducting polymer sensor array are obtained. The approximate values of the scaling exponents were first deduced as prompted by the sensor response models, and then one adjust were done empirically.

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Section: Power Scaling Prompted By Ccp Sensor Behaviormentioning

confidence: 99%

Power Scaling of Chemiresistive Sensor Array Data for Odor Classification

Jha¹,

Yadava²

2011

JPRR

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“…Conductive rubber composites filled with CBs still receive considerable attention from materials scientists due to their relatively low cost and wide technological applications in electronic magnetic shielding, electronic charge dissipation, pressure sensor and selective gas/solvent sensor (Das et al, 2002;Job et al, 2003;Knite et al, 2004;Lei et al, 2004;Carrillo et al, 2006;Ding et al, 2007;Li et al, 2009;L. Wang et al, 2008L.…”

Section: Functional Properties Of Nanoparticle-filled Rubber Nanocompmentioning

confidence: 99%

Physical properties of rubber-based nanocomposites

Zhang

2010

Physical Properties and Applications of Polymer Nanocomposites

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“…Along with a detailed analysis of the mechanism, this material was suggested for use as a deformation sensor . The swelling and sensing behavior of CB‐filled SBR composites was described by Carrillo et al This work proved the fast sensing response of the material to solvents and explained the mechanism by the interaction of the solvent in the CB/SBR interface, which works as a preferential area of solvent flow. This effect may produce the early opening of chains and faster rates that were experimentally observed.…”

Section: Introductionmentioning

confidence: 97%

Styrene Butadiene Rubber/Carbon Filler‐Based Vapor Sensors

Tabačiarová

Krajči

Pionteck

et al. 2015

Macro Chemistry & Physics

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The elastomeric composites using styrene butadiene rubber (SBR) as the polymeric matrix with two types of carbon nanofi llers, carbon black and carbon nanotubes, are prepared by melt mixing with the aim to use them as sensors of organic gases for monitoring industrial environments. The prepared composites contain various amounts of conducting nanofi llers and are cross-linked before examination for gas sensing. The electrical conductivity of the prepared composites is measured and the percolation threshold is calculated for both types of composites. The fi rst aim is to determine compositions slightly above the percolation threshold for later testing of the sensing properties. Swelling/deswelling experiments have also been performed. The dispersion of conducting fi llers in SBR matrix is studied by scanning and transmission electron microscopy techniques, and the mechanical properties of the pure matrix and all prepared composites are determined by tensile testing. Three organic gases, toluene, tetrahydrofuran, and n -hexane, in various mixtures with air are used to examine the ability of the prepared composites to react in their presence by changing the electrical properties. Cyclability of the sensing performance of the composites is also examined. Sensing results reveal the suitability of the prepared SBR-based materials as sensors for harmful solvents and gases widely used in industry.

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Modeling and experimental testing of the effect of solvent absorption on the electric properties of styrene butadiene rubber/carbon black chemical sensors

Cited by 20 publications

References 44 publications

Power Scaling of Chemiresistive Sensor Array Data for Odor Classification

Power Scaling of Chemiresistive Sensor Array Data for Odor Classification

Physical properties of rubber-based nanocomposites

Styrene Butadiene Rubber/Carbon Filler‐Based Vapor Sensors

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