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Conception de capteurs de gaz radiofréquences à base de nanotubes de carbone et imprimés par jet d’encre

Abstract : The gas sensor domain has continued to evolve over the past few decades by moving primarily from a technology based on metal oxides to new nanostructured materials. Indeed, for modern applications in today's world robust sensors with low power consumption, low cost, conformable, sensitive and selective is desirable. In this context, mark-sensitive materials based on carbon nanostructures, as well as new manufacturing technologies (allowing miniaturization and conformability devices) is required. One solution which is currently under consideration is the use of innovative materials such as carbon nanotubes (CNTs) which exhibit very good electrical and mechanical properties. Their dimensions give us a considerable surface area and hence the possibility of high sensitivity. Their ability to be functionalized with different groups makes them very selective to react with a particular target gas. Amongst the emerging technologies, inkjet printing deposition of a very thin film is currently in use as it remains versatile because of its ease of use. The resolution and printing possibilities on different types of substrate have remains very important assets. A very important aspect that has been considered very less is the modeling of thin film sensing elements. Regarding printed layers solutions containing carbon nanotubes, very few works have been currently listed, and the existing models are quite complex. In this work, modeling of thin layers in the form of patterns printed by inkjet has been studied and experimental verifications and their analyses have been carried out successfully. Specific emphasis has been laid on the layers of solutions containing carbon nanotubes deposited in RF structures for application in the detection of gases.
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Carlos Alberto Paragua Macuri. Conception de capteurs de gaz radiofréquences à base de nanotubes de carbone et imprimés par jet d’encre. Electronique. Université de Limoges, 2016. Français. ⟨NNT : 2016LIMO0028⟩. ⟨tel-01344358⟩

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