ArticleAnalytical chemistry2023
Physicochemical Properties Predict Retention of Antibiotics in Water-in-Oil Droplets.
Article in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
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
9 citing papers in PubMed.
- Multiplexed, rapid phenotypic antibiotic susceptibility testing based on angle-resolved light scattering imaging of microfluidic droplets.Journal of advanced research · 2026Article
- Probing Antibiotic Inhibition in Small Bacterial Populations With Combinatorial Droplet Microfluidics.Small science · 2026Article
- Microfluidics to Meet Antibiotic Resistance: A Growing Research Frontier.Antibiotics (Basel, Switzerland) · 2025Review
- High-throughput bacterial aggregation analysis in droplets.Scientific reports · 2025Article
- Passive Membrane Transport Analysis of Drug Mixtures.Analytical chemistry · 2025Article
- MALDI Mass Spectrometry on High-Density Droplet Arrays: Matrix Deposition, Selective Removal, and Recrystallization.ACS measurement science au · 2024Article
- The effects of droplet stabilization by surfactants and nanoparticles on leakage, cross-talk, droplet stability, and cell adhesion.RSC advances · 2024Article
- A Guide to Biodetection in Droplets.Analytical chemistry · 2024Review
- Open microfluidics: droplet microarrays as next generation multiwell plates for high throughput screening.Lab on a chip · 2024Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Water-in-oil droplet microfluidics promises capacity for high-throughput single-cell antimicrobial susceptibility assays and investigation of drug resistance mechanisms. Every droplet must serve as an isolated environment with a controlled antibiotic concentration in such assays. While technologies for generation, incubation, screening, and sorting droplets mature, predictable retention of active molecules inside droplets remains a major outstanding challenge. Here, we analyzed 36 descriptors of the antibiotic molecules against experimental results on the cross-talk of antibiotics in droplets. We show that partition coefficient and fractional polar surface area are the key physicochemical properties that predict antibiotic retention. We verified the prediction by monitoring growth inhibition by antibiotic-loaded neighboring droplets. Our experiments also demonstrate that transfer of antibiotics between droplets is concentration- and distance-dependent. Our findings immediately apply to designing droplet antibiotic assays and give deeper insight into the retention of small molecules in water-in-oil emulsions.
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Registered trials
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