Review
Version 1
Preserved in Portico This version is not peer-reviewed
Multimodal Biosensing of Foodborne Pathogens
Version 1
: Received: 14 November 2023 / Approved: 14 November 2023 / Online: 14 November 2023 (13:39:23 CET)
How to cite: Ullah, N.; Danquah, M.K. Multimodal Biosensing of Foodborne Pathogens. Preprints 2023, 2023110945. https://doi.org/10.20944/preprints202311.0945.v1 Ullah, N.; Danquah, M.K. Multimodal Biosensing of Foodborne Pathogens. Preprints 2023, 2023110945. https://doi.org/10.20944/preprints202311.0945.v1
Abstract
Microbial foodborne pathogens can cause major risks to public health and the food industry. Rapid and accurate detection of these pathogens is crucial to prevent outbreaks and ensure food safety. Traditional single-mode biosensing approaches have their limitations in terms of specificity, sensitivity, and speed. Over the years, there has been an increasing research interest in developing multimodal biosensing strategies that integrate multiple sensing techniques to achieve enhanced accuracy, efficacy, and precision in foodborne pathogen detection. This article review paper explores the current state of multimodal biosensing technologies and their promising applications in the food industry. We discuss various integrated biosensing platforms, including optical, electrochemical, and nanomaterial-based systems, among others. The advantages, challenges, and future prospects of multimodal biosensing for foodborne pathogens are thoroughly examined, highlighting the potential impact of these advanced technologies on food safety and public health.
Keywords
optical; electrochemical; biosensing; multimodal biosensing, foodborne pathogens; food safety
Subject
Biology and Life Sciences, Life Sciences
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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