Recent Research on Foodborne Bacteria Detection and Inactivation Technology

A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Microbiology".

Deadline for manuscript submissions: 31 October 2025 | Viewed by 234

Special Issue Editors


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Guest Editor
College of Food Sciences and Technology, Shanghai Ocean University, Shanghai 201306, China
Interests: foodborne pathogen detection and diagnostics; antimicrobial resistance mechanisms in foodborne bacteria; non-thermal food processing and preservation techniques; genomic and metagenomic analysis of foodborne pathogens; sustainable strategies for mitigating foodborne illnesses

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Guest Editor
College of Food Sciences and Technology, Shanghai Ocean University, Shanghai 201306, China
Interests: microbial risk assessment; preditive microbiology; antimicrobial resistance; food safety innovation and technology; host-microbe interactions; One Health and global health security

Special Issue Information

Dear Colleagues,

Foodborne bacterial pathogens pose a significant threat to global public health, necessitating continuous advancements in detection and inactivation technologies. This Special Issue, “Recent Research on Foodborne Bacteria Detection and Inactivation Technology”, aims to compile cutting-edge research addressing challenges such as antimicrobial resistance, the demand for rapid diagnostics, and the preservation of food quality. Contributions will explore innovative detection methods, including biosensors, CRISPR-based assays, and genomic tools, alongside novel inactivation strategies, such as phage therapy, cold plasma, and natural antimicrobials. Interdisciplinary approaches integrating microbiology, nanotechnology, and data science to enhance food safety will also be highlighted. This issue will further examine sustainable, non-thermal processing techniques and rapid on-site diagnostics to transform industry practices. By bridging scientific innovation with practical applications, this collection seeks to advance food safety protocols, support regulatory frameworks, and reduce the burden of foodborne illnesses worldwide. Researchers are invited to submit original studies and reviews that push the boundaries of pathogen management, fostering safer food systems and improved public health outcomes.

Dr. Zhaohuan Zhang
Prof. Dr. Pradeep Kumar Malakar
Guest Editors

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Keywords

  • foodborne bacteria
  • pathogen detection
  • inactivation technology
  • antimicrobial resistance
  • biosensors
  • non-thermal processing
  • microbial genomics
  • rapid diagnostics
  • food safety
  • public health

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Published Papers (1 paper)

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Research

15 pages, 1994 KiB  
Article
An Integrated PMA Pretreatment Instrument for Simultaneous Quantitative Detection of Vibrio parahaemolyticus and Vibrio cholerae in Aquatic Products
by Yulong Qin, Rongrong Xiong, Yong Zhao, Zhaohuan Zhang and Yachang Yin
Foods 2025, 14(13), 2166; https://doi.org/10.3390/foods14132166 - 21 Jun 2025
Viewed by 127
Abstract
Traditional hazard identification techniques for Vibrio parahaemolyticus often neglect the distinction between viable and nonviable bacteria in aquatic products, leading to overestimated disease risks and uncertainties in risk assessments. To address this limitation, we developed an automated PMA pretreatment instrument that integrates dark [...] Read more.
Traditional hazard identification techniques for Vibrio parahaemolyticus often neglect the distinction between viable and nonviable bacteria in aquatic products, leading to overestimated disease risks and uncertainties in risk assessments. To address this limitation, we developed an automated PMA pretreatment instrument that integrates dark incubation and photo-crosslinking into a unified workflow, allowing customizable parameters such as incubation time, light exposure duration, and mixing speed while maintaining stable temperatures (<±1 °C fluctuation) to preserve bacterial DNA integrity. Leveraging this system, a duplex qPCR assay was optimized for simultaneous quantitative detection of V. parahaemolyticus and V. cholerae in aquatic products and environmental samples. The assay demonstrated robust performance with 90–110% amplification efficiencies across diverse matrices, achieving low limits of detection (LODs) of 101–102 CFU/mL in shrimp farming environment water and 102–103 CFU/g in shrimp (Litopenaeus vannamei) and oyster (Crassostrea gigas). Notably, it effectively discriminated viable bacteria from 106 CFU/mL(g) nonviable cells and showed strong correlation with ISO-standard methods in real-world sample validation. This integrated platform offers a rapid, automated solution for accurate viable bacterial quantification, with significant implications for food safety, pathogen surveillance, and risk management in aquatic industries. Full article
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