Volume 1, 2022

Nanostructured zirconia@reduced graphene oxide based ultraefficient nanobiosensing platform for food toxin detection

Abstract

In this work, we report zirconia nanoparticle (∼17 nm) decorated reduced graphene oxide nanocomposite (nZrO2@RGO) based nanobiosensing platform for label-free and efficient detection of food toxin (aflatoxin B1, AFB1). A simple hydrothermal approach was followed for the synthesis of the nZrO2@RGO nanocomposite, which was further functionalized with 3-aminopropyltriethoxy silane (APTES) and made to adhere electrophoretically onto an indium tin oxide (ITO) coated glass substrate (15 V, 180 s). The immobilization of monoclonal antibodies of aflatoxin B1 (anti-AFB1) and bovine serum albumin (BSA) was achieved through EDC–NHS chemistry and drop-casting method, respectively. The structural, morphological, and electrochemical attributes of nZrO2@RGO and the fabricated bioelectrodes were characterized by spectroscopic, microscopic and electrochemical (cyclic voltammetry and differential pulse voltammetry) techniques. Here, the large surface area of RGO support helps in increasing the dispersibility of nZrO2 which imparts synergistic effects to the nZrO2@RGO nanocomposite and as result, accelerates the electron transfer process. Thus, the fabricated immunoelectrode (BSA/anti-AFB1/APTES/nZrO2@RGO/ITO) efficiently detects AFB1 covering wider linear detection range between 1.5–18 ng mL−1 with lower limit of detection of 2.54 ng mL−1 and durability of 49 days.

Graphical abstract: Nanostructured zirconia@reduced graphene oxide based ultraefficient nanobiosensing platform for food toxin detection

Supplementary files

Article information

Article type
Paper
Submitted
21 Jan 2022
Accepted
26 Mar 2022
First published
30 Mar 2022
This article is Open Access
Creative Commons BY license

Sens. Diagn., 2022,1, 550-557

Nanostructured zirconia@reduced graphene oxide based ultraefficient nanobiosensing platform for food toxin detection

D. Chauhan, Y. Kumar, R. Chandra and S. Kumar, Sens. Diagn., 2022, 1, 550 DOI: 10.1039/D2SD00012A

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