ArticleMethods in molecular biology (Clifton, N.J.)2027
Standardized Quantification of Salmonella Biofilms and Evaluation of Antibiotic Antibiofilm Activity.
Article in Methods in molecular biology (Clifton, N.J.), 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
0 citing papers in PubMed.
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Authors and funding
2 authors.
Funding
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Abstract
Biofilm formation in Salmonella is a major factor contributing to its persistence and antimicrobial resistance. It contributes to both clinical and contamination in food-related environments, including food processing equipment, surfaces, and packaging materials. This chapter describes a standardized crystal violet (CV) microtiter plate assay for quantifying Salmonella biofilm formation and evaluating the potential antibiofilm effect of antibiotics (chloramphenicol) in inhibiting Salmonella biofilms, with detailed procedures and critical notes to help minimize common errors like over-washing or overstaining. Given the simplicity, reproducibility, and adaptability, this assay is a valuable tool for studying biofilm biology and evaluating antibiofilm strategies against Salmonella.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.