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Physicochemical Properties Predict Retention of Antibiotics in Water-in-Oil Droplets
[Image: see text] 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. W...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850403/ https://www.ncbi.nlm.nih.gov/pubmed/36598882 http://dx.doi.org/10.1021/acs.analchem.2c04644 |
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author | Ruszczak, Artur Jankowski, Paweł Vasantham, Shreyas K. Scheler, Ott Garstecki, Piotr |
author_facet | Ruszczak, Artur Jankowski, Paweł Vasantham, Shreyas K. Scheler, Ott Garstecki, Piotr |
author_sort | Ruszczak, Artur |
collection | PubMed |
description | [Image: see text] 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. |
format | Online Article Text |
id | pubmed-9850403 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-98504032023-01-20 Physicochemical Properties Predict Retention of Antibiotics in Water-in-Oil Droplets Ruszczak, Artur Jankowski, Paweł Vasantham, Shreyas K. Scheler, Ott Garstecki, Piotr Anal Chem [Image: see text] 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. American Chemical Society 2023-01-04 /pmc/articles/PMC9850403/ /pubmed/36598882 http://dx.doi.org/10.1021/acs.analchem.2c04644 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Ruszczak, Artur Jankowski, Paweł Vasantham, Shreyas K. Scheler, Ott Garstecki, Piotr Physicochemical Properties Predict Retention of Antibiotics in Water-in-Oil Droplets |
title | Physicochemical
Properties Predict Retention of Antibiotics
in Water-in-Oil Droplets |
title_full | Physicochemical
Properties Predict Retention of Antibiotics
in Water-in-Oil Droplets |
title_fullStr | Physicochemical
Properties Predict Retention of Antibiotics
in Water-in-Oil Droplets |
title_full_unstemmed | Physicochemical
Properties Predict Retention of Antibiotics
in Water-in-Oil Droplets |
title_short | Physicochemical
Properties Predict Retention of Antibiotics
in Water-in-Oil Droplets |
title_sort | physicochemical
properties predict retention of antibiotics
in water-in-oil droplets |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850403/ https://www.ncbi.nlm.nih.gov/pubmed/36598882 http://dx.doi.org/10.1021/acs.analchem.2c04644 |
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