Multimodal Biosensing of Foodborne Pathogens.


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
29 May 2024
Historique:
received: 16 04 2024
revised: 14 05 2024
accepted: 27 05 2024
medline: 19 6 2024
pubmed: 19 6 2024
entrez: 19 6 2024
Statut: epublish

Résumé

Microbial foodborne pathogens present significant challenges to public health and the food industry, requiring rapid and accurate detection methods to prevent infections and ensure food safety. Conventional single biosensing techniques often exhibit limitations in terms of sensitivity, specificity, and rapidity. In response, there has been a growing interest in multimodal biosensing approaches that combine multiple sensing techniques to enhance the efficacy, accuracy, and precision in detecting these pathogens. This review investigates the current state of multimodal biosensing technologies and their potential applications within the food industry. Various multimodal biosensing platforms, such as opto-electrochemical, optical nanomaterial, multiple nanomaterial-based systems, hybrid biosensing microfluidics, and microfabrication techniques are discussed. The review provides an in-depth analysis of the advantages, challenges, and future prospects of multimodal biosensing for foodborne pathogens, emphasizing its transformative potential for food safety and public health. This comprehensive analysis aims to contribute to the development of innovative strategies for combating foodborne infections and ensuring the reliability of the global food supply chain.

Identifiants

pubmed: 38892147
pii: ijms25115959
doi: 10.3390/ijms25115959
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Science Foundation
ID : 2130658

Auteurs

Najeeb Ullah (N)

Department of Chemical and Biomolecular Engineering, University of Tennessee, Knoxville, TN 37996, USA.

Tracy Ann Bruce-Tagoe (TA)

Department of Chemical and Biomolecular Engineering, University of Tennessee, Knoxville, TN 37996, USA.

George Adu Asamoah (GA)

Department of Chemical and Biomolecular Engineering, University of Tennessee, Knoxville, TN 37996, USA.

Michael K Danquah (MK)

Department of Chemical and Biomolecular Engineering, University of Tennessee, Knoxville, TN 37996, USA.

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Classifications MeSH