ArticleAMB Express2020
Establishment of a duplex real-time qPCR method for detection of Salmonella spp. and Serratia fonticola in fishmeal.
Article in AMB Express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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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
6 citing papers in PubMed.
- Comparative Evaluation of Enrichment and Selective Culture Strategies for DetectingVector borne and zoonotic diseases (Larchmont, N.Y.) · 2026Article
- Recent Developments in Lateral Flow Assays forPathogens (Basel, Switzerland) · 2023Review
- Engineered Gut Symbiotic Bacterium-Mediated RNAi for Effective Control ofMicrobiology spectrum · 2023Article
- A Real-Time PCR Approach for Rapid Detection of ViableMicroorganisms · 2023Article
- Article
- Advancement inBiosensors · 2021Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Salmonella spp. is a high-risk bacterial pathogen that is monitored in imported animal-derived feedstuffs. Serratia fonticola is the bacterial species most frequently confused with Salmonella spp. in traditional identification methods based on biochemical characteristics, which are time-consuming and labor-intensive, and thus unsuitable for daily inspection and quarantine work. In this study, we established a duplex real-time qPCR method with invA- and gyrB-specific primers and probes corresponding to Salmonella spp. and S. fonticola. The method could simultaneously detect both pathogens in imported feedstuffs, with a minimum limit of detection for Salmonella spp. and S. fonticola of 197 copies/μL and 145 copies/μL, respectively (correlation coefficient R
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