Advanced Analytical Techniques for Microbial Detection in Poultry Processing: Enhancing Food Safety Compliance in the U.S.
Current Journal of Applied Science and Technology · pp. 225–233 · Published 14 Apr 2025
10.9734/cjast/2025/v44i44528Abstract
Aim: The study evaluates the effectiveness of advanced microbial detection techniques—VIDAS, Gene-Up, and Tempo Systems—in enhancing food safety compliance in U.S. poultry processing plants. Study Design: A comprehensive review of microbial detection techniques used in poultry processing, focusing on their sensitivity, specificity, and efficiency in detecting foodborne pathogens such as Salmonella, E. coli, and Campylobacter. Methodology: A systematic review of the literature was conducted, assessing peer-reviewed research articles between 2019 and 2024. Data were gathered from databases such as Google Scholar, Scopus, PubMed, and Web of Science, assessing the application of VIDAS, Gene-Up, and Tempo Systems in poultry safety control. Results: Results indicate that automated rapid detection methods greatly enhance contamination control through the minimization of detection time by up to 60% compared to conventional methods and improvement in the precision of microbial identification by approximately 45%. Gene-Up was more specific and sensitive in pathogen identification, due to its advanced real-time PCR technology, which allows for higher target specificity and lower detection limits compared to conventional culture methods and other rapid detection assays, whereas Tempo Systems was found to be efficient in microbial load quantification. VIDAS was found to have good applicability in routine food safety monitoring. Conclusions: The study emphasizes the need for integration of automated microbial detection techniques into poultry processing for improved regulatory compliance, reduced public health risks, and prevention of foodborne disease outbreaks. Future research has to focus on the cost-effectiveness and scalability of the technologies for application in small-scale poultry operations.
Cited by 1
Yi He, Bo Liu, Xuan Ma · Food Research International · 2025
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