Advanced Analytical Techniques for Microbial Detection in Poultry Processing: Enhancing Food Safety Compliance in the U.S.

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.

Authors

Publication Details

Journal
Current Journal of Applied Science and Technology
Published
2025-04-14
DOI
https://doi.org/10.9734/cjast/2025/v44i44528
Citations
1
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
0.81
Controls
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article

Advanced Analytical Techniques for Microbial Detection in Poultry Processing: Enhancing Food Safety Compliance in the U.S.

Moses Ohakumhe DOGHO
1 citations
Current Journal of Applied Science and Technology
Identification and Quantification in Food
0.81
article

Advanced Analytical Techniques for Microbial Detection in Poultry Processing: Enhancing Food Safety Compliance in the U.S.

Moses Ohakumhe DOGHO
article en
1 citations

Abstract

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.

Current Journal of Applied Science and TechnologyVol. 44(4)
Openalex Percentile: Top 29%
Identification and Quantification in Food
0.81
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