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REVIEW article

Front. Chem.
Sec. Analytical Chemistry
Volume 13 - 2025 | doi: 10.3389/fchem.2025.1536928
This article is part of the Research Topic Advanced Microfluidic Chips for Analytical and Biological Applications View all articles

Microfluidic biosensors for rapid detection of foodborne pathogenic bacteria: recent advances and future perspectives

Provisionally accepted
Jian Zhang Jian Zhang 1Chuanlong Ma Chuanlong Ma 2Yaping Du Yaping Du 3Jiangbo Huang Jiangbo Huang 1Li Xue Li Xue 4*
  • 1 School of Robot Engineering, Yangtze Normal University, Chongqing, China
  • 2 Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong, China, Hong Kong, China
  • 3 Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong, China
  • 4 Tsinghua University, Beijing, China

The final, formatted version of the article will be published soon.

    Rapid detection of foodborne pathogenic bacteria is critical for ensuring food safety and preventing foodborne disease outbreaks. Traditional detection methods, while accurate, are often time-consuming and labor-intensive, making rapid detection technologies a pressing need. Microfluidic biosensors have emerged as a powerful solution, offering high sensitivity, specificity, and rapid analysis with minimal sample volume. In this review, we summarize recent advances in microfluidic biosensor technology, highlighting innovations in detection techniques such as electrochemical and optical microfluidic biosensors. We have also introduced microfluidic components, which are crucial for the implementation of microfluidic biosensors. Based on the current state of this technology development, we finally provide several most important recommendations for future research directions in this emerging research area, which may enable widespread commercialization and adoption in the food industry.

    Keywords: Microfluidic biosensors, Food Safety, rapid analysis, foodborne pathogens, Lab-On-Chip

    Received: 29 Nov 2024; Accepted: 10 Jan 2025.

    Copyright: © 2025 Zhang, Ma, Du, Huang and Xue. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Li Xue, Tsinghua University, Beijing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.