Novel e-nose for the discrimination of volatile organic biomarkers with an array of carbon nanotubes (CNT) conductive polymer nanocomposites (CPC) sensors |
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Authors: | M CastroAuthor Vitae B KumarAuthor VitaeJF FellerAuthor Vitae Z HaddiAuthor VitaeA AmariAuthor Vitae B BouchikhiAuthor Vitae |
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Affiliation: | a Smart Plastics Group, European University of Brittany (UEB), LIMATB-UBS, Lorient, France b Sensors, Electronic & Instrumentation Group, Moulay Ismaïl University, Meknes, Morocco |
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Abstract: | We report the original design of a new type of electronic nose (e-nose) consisting of only five sensors made of hierarchically structured conductive polymer nanocomposites (CPC). Each sensor benefits from both the exceptional electrical properties of carbon nanotubes (CNT) used to build the conductive architecture and the spray layer by layer (sLbL) assembly technique, which provides the transducers with a highly specific 3D surface structure. Excellent sensitivity and selectivity were obtained by optimizing the amount of CNT with five different polymer matrices: poly(caprolactone) (PCL), poly(lactic acid) (PLA), poly(carbonate) (PC), poly(methyl methacrylate) (PMMA) and a biobased polyester (BPR). The ability of the resulting e-nose to detect nine organic solvent vapours (isopropanol, tetrahydrofuran, dichloromethane, n-heptane, cyclohexane, methanol, ethanol, water and toluene), as well as biomarkers for lung cancer detection in breath analysis, has been demonstrated. Principal component analysis (PCA) proved to be an excellent pattern recognition tool to separate vapour clusters. |
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Keywords: | Carbon nanotubes (CNT) Conductive polymer nanocomposites (CPC) Volatile organic compound (VOC) Discrimination Principal component analysis (PCA) E-nose Spray layer by layer (sLbL) Hierarchical structures |
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