ReviewCurrent research in food science2026
Genotypic and phenotypic strategies to detect antibiotic resistance in foodborne pathogens along the food processing chain.
Review in Current research in food science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Biofilm-Mediated Persistence of Salmonella in Poultry Processing: A Comprehensive Review of Isolate Heterogeneity, Stress Adaptation, and Antimicrobial Resistance.Comprehensive reviews in food science and food safety · 2026Review
- Article
- Prebiotics Enhance Microbiome Recovery Following Antibiotic-Induced Dysbiosis.Microorganisms · 2026Article
- Molecular insights into antimicrobial resistance in human bacterial pathogens: mechanisms, resistance genes, and translational diagnostic applications.Frontiers in microbiology · 2026Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The overuse of antibiotics in food production systems has exacerbated antibiotic resistance in foodborne pathogens, creating significant risks to public health and food safety. This situation makes it imperative to develop practical monitoring tools for tracking antibiotic resistance in foodborne pathogens. However, most existing detection technologies still rely on manual operation and are time-consuming and operationally complex. This prevents them from being used for immediate on-site testing along the food processing chain. Phenotypic detection establishes the functional expression of antibiotic resistance, while genotypic detection elucidates its genetic basis. Through complementary functional validation and mechanism analysis, both approaches collectively provide indispensable evidence for the precise and comprehensive assessment of antibiotic resistance. This review aims to provide concrete solutions for rapid detection by systematically integrating genotypic and phenotypic strategies, while clarifying future research directions for antibiotic resistance detection approaches. This review systematically discusses the diversity of antibiotic resistance, analyzes the advantages and limitations of traditional detection methods, and elaborates in detail on various rapid detection techniques for antibiotic resistance based on genotypes and phenotypes. This review finally summarizes the development trends of emerging technologies and proposes improvement suggestions. Future antibiotic resistance detection technologies will focus on simultaneous analysis of genotypes and phenotypes and move toward fully automated, intelligent, integrated analysis. Ultimately, this review provides robust safeguards for food safety and helps establish a secure, controllable food processing chain.
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Registered trials
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