Issue 6, 2022, Issue in Progress

Voltammetric determination of Salmonella typhimurium in minced beef meat using a chip-based imprinted sensor

Abstract

Early detection of pathogens is necessary for food quality monitoring, and increasing the survival rate of individuals. Conventional microbiological methods used to identify microorganisms, starting from bacterial culture and ending with advanced PCR gene identification, are time-consuming, laborious and expensive. Thus, in this study, a bacterial imprinted polymer (BIP)-based biosensor was designed and fabricated for rapid and selective detection of Salmonella typhimurium. Bio-recognition sites were made by creating template-shaped cavities in the electro-polymerized polydopamine matrices on a gold screen-printed electrode. The overall changes of the sensor, during the imprinting process, have been investigated with cyclic voltammetry, atomic force microscopy and scanning electron microscopy. The assay optimization and validation were accomplished, hence the highest sensitivity and selectivity towards S. typhimurium were achieved. As a result, a very low limit of detection of 47 CFU ml−1, and a limit of quantification of 142 CFU ml−1 were achieved using the newly-developed biosensor. No interference signals were detected when the S. typhimurium was tested in a mixed culture with other non-targeted pathogens such as Staphylococcus aureus, Listeria monocytogenes and Campylobacter jejuni. Eventually, the biosensor was applied to minced beef meat samples offering not only fast detection but also direct determination with no bacterial enrichment steps.

Graphical abstract: Voltammetric determination of Salmonella typhimurium in minced beef meat using a chip-based imprinted sensor

Article information

Article type
Paper
Submitted
21 Nov 2021
Accepted
18 Jan 2022
First published
25 Jan 2022
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2022,12, 3445-3453

Voltammetric determination of Salmonella typhimurium in minced beef meat using a chip-based imprinted sensor

S. A. Khalid, R. Y. A. Hassan, R. M. El Nashar and I. M. El-Sherbiny, RSC Adv., 2022, 12, 3445 DOI: 10.1039/D1RA08526C

This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. You can use material from this article in other publications, without requesting further permission from the RSC, provided that the correct acknowledgement is given and it is not used for commercial purposes.

To request permission to reproduce material from this article in a commercial publication, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party commercial publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements