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Probing the influence of graphene oxide sheets size on the performance of label-free electrochemical biosensors

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Eissa, Shimaa, N’diaye, Jeanne, Brisebois, Patrick, Izquierdo, Ricardo, Tavares, Ana C. et Siaj, Mohamed. 2020. « Probing the influence of graphene oxide sheets size on the performance of label-free electrochemical biosensors ». Scientific Reports, vol. 10, nº 1.

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Abstract

The integration of graphene materials into electrochemical biosensing platforms has gained significant interest in recent years. Bulk quantities of graphene can be synthesized by oxidation of graphite to graphite oxide and subsequent exfoliation to graphene oxide (GO). However, the size of the resultant GO sheets changes from the parent graphite yielding a polydispersed solution of sizes ranging from a few nanometers to tens of micrometers. Here, we investigate the direct effect of GO sheets sizes on biosensor performance. We separated different GO sheets sizes, and we characterized them via atomic force, scanning electron, Raman and X-ray photoelectron spectroscopies and solid state nuclear magnetic resonance (NMR). As proof of concept, the sensing performance of these GO samples was probed using a well-known ssDNA aptasensor against microcystin-LR toxin and an immunosensor against β-lactoglobulin. The resulting aptasensors and immunosensors are fabricated by using covalent attachment and physical adsorption. We found that the aptasensors fabricated using physical adsorption, the binding signal variation was dramatically increased with increasing the GO sheet size. In contrast, for the aptasensor fabricated using covalent immobilization, the binding signal variation decreased with increasing GO sheet size. However, for the β-lactoglobulin immunosensors, the optimum signals were observed at intermediate GO sheet size. GO sheet size could enhance or inhibit the sensitivity of the graphene-based electrochemical sensors. Our results demonstrate that controlling the size of GO sheets may have a profound impact in specific biosensing applications.

Item Type: Peer reviewed article published in a journal
Professor:
Professor
Izquierdo, Ricardo
Affiliation: Génie électrique
Date Deposited: 29 Apr 2022 19:10
Last Modified: 23 Jun 2022 13:56
URI: https://espace2.etsmtl.ca/id/eprint/24289

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