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Nanostructured Inorganic Materials at Work in Electrochemical Sensing and Biofuel Cells

Abstract : The future of analytical devices, namely (bio)sensors, which are currently impacting our everyday life, relies on several metrics such as low cost, high sensitivity, good selectivity, rapid response, real-time monitoring, high-throughput, easy-to-make and easy-to-handle properties. Fortunately, they can be readily fulfilled by electrochemical methods. For decades, electrochemical sensors and biofuel cells operating in physiological conditions have concerned biomolecular science where enzymes act as biocatalysts. However, immobilizing them on a conducting substrate is tedious and the resulting bioelectrodes suffer from stability. In this contribution, we provide a comprehensive, authoritative, critical, and readable review of general interest that surveys interdisciplinary research involving materials science and (bio)electrocatalysis. Specifically, it recounts recent developments focused on the introduction of nanostructured metallic and carbon-based materials as robust "abiotic catalysts" or scaffolds in bioelectrochemistry to boost and increase the current and readout signals as well as the lifetime. Compared to biocatalysts, abiotic catalysts are in a better position to efficiently cope with fluctuations of temperature and pH since they possess high intrinsic thermal stability, exceptional chemical resistance and long-term stability, already highlighted in classical electrocatalysis. We also diagnosed their intrinsic bottlenecks and highlighted opportunities of unifying the materials science and bioelectrochemistry fields to design hybrid platforms with improved performance.
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https://hal.umontpellier.fr/hal-01670255
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Soumis le : jeudi 9 avril 2020 - 15:57:39
Dernière modification le : mercredi 6 mai 2020 - 01:30:51

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catalysts-07-00031.pdf
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Yaovi Holade, Sophie Tingry, Karine Servat, Teko Napporn, David Cornu, et al.. Nanostructured Inorganic Materials at Work in Electrochemical Sensing and Biofuel Cells. Catalysts, MDPI, 2017, 7 (1), ⟨10.3390/catal7010031⟩. ⟨hal-01670255⟩

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