Transparent and flexible glucose biosensor via layer-by-layer assembly of multi-wall carbon nanotubes and glucose oxidase |
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| Institution: | 1. School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore;2. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore;1. Univ Lyon, CNRS, Université Claude Bernard Lyon 1, ENS de Lyon, Institute of Analytical Sciences, UMR 5280, 5 Rue la Doua, F-69100 Villeurbanne, France;2. University of Monastir, Laboratoire des Interfaces et des Matériaux Avancés, Faculté des Sciences de Monastir, Avenue de l’Environnement, 5019 Monastir, Tunisia;3. Univ Lyon, Université Jean Monnet Saint-Etienne, CNRS, Laboratory Hubert Curien, UMR 5516, 18 rue Professeur Benoit Lauras, F-42000 Saint-Etienne, France;4. Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Institut des Nanotechnologies de Lyon, UMR5270, Bâtiment Léon Brillouin, 6 rue Ampère, F-69622 Villeurbanne cédex, France |
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| Abstract: | This paper reports a transparent and flexible glucose biosensor of which multi-wall carbon nanotubes (MWNTs) and glucose oxidase (GOx) is layer-by-layer (LBL) self-assembled on a polymer substrate. A thin Ti and Au layers is firstly deposited on the polymer substrate through plasma immersion ion implantation (PIII) and sputtering, respectively. An organic monolayer then forms on the gold surface using thiol chemistry. Subsequently, negatively charged MWNTs and GOx are stably LBL assembled on the modified Au surface, respectively, via alternative electrostatic interaction of the positively charged polyelectrolyte with the oppositely charged MWNTs and GOx. Electrochemical studies show that the multilayer membrane exhibits remarkable electrocatalytic activity to detect glucose molecule. The biosensor displays a linear response range of 0.02–2.2 mM (a correlation coefficient of 0.998) with a low detection limit of 10 μM. This remarkable performance, combined with the large area preparation process, demonstrates this CNT-based multilayer biosensor is well suited for commercial applications. |
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