4.7 Article

A multifunctional iron catalyst-based colorimetric sensor for rapid bacterial detection in food

Journal

SENSORS AND ACTUATORS B-CHEMICAL
Volume 393, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2023.134235

Keywords

On-site detection; Food pathogen; Colorimetric sensor; Magnetophoretic separation; Iron oxide nanoparticles; Peroxidase-like activity

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In this study, an on-site sensing system using paramagnetic immuno-iron oxide nanoparticles (immuno-IONPs) was developed for detecting the presence of foodborne pathogen Escherichia coli O157:H7. The system utilized the peroxidase-like activity of the surface modified IONPs to induce the oxidation of a colorless substrate to a blue product in the presence of hydrogen peroxide, enabling the development of a colorimetric sensor. The detection system showed compatibility with real food samples and exhibited a detection limit of about 80 CFU/mL.
Herein, we report an on-site sensing system for detecting the presence of foodborne pathogen, Escherichia coli O157:H7, by using paramagnetic immuno-iron oxide nanoparticles (immuno-IONPs) that possess intrinsic peroxidase-like activity. The surface functionalization of IONPs with dextrin, followed by oxidation to form OxDex-IONPs, significantly improved their colloidal stability and peroxidase-like activity. The catalytic activity of OxDex-IONPs was employed to induce the oxidation of colorless 3,3 & PRIME;,5,5 & PRIME;-tetramethylbenzidine (TMB) to a blue product in the presence of hydrogen peroxide, which was successfully utilized in the development of a colorimetric sensor. The generation of specific signals in response to the target bacteria could be achieved through magnetophoresis, a technique that specifically fractionates the IONPs clustered with the target bacteria based on their faster mobility. The detection system was demonstrated to be compatible with real food samples, exhibiting a detection limit of around 80 CFU/mL. Due to its straightforward procedure and rapid analysis time of under 50 min, the proposed detection system would offer an effective way to monitor bacterial contamination and evaluate the safety of food.

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