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Droplet fluidics for time-dependent analysis of barrier permeability in an epithelial barrier on chip system

A droplet generator has been developed that interfaces with a barrier-on-chip platform for temporal analyte compartmentalisation and analysis. Droplets are generated every 20 minutes in 8 separate parallel microchannels, with an average droplet volume of 9.47 ± 0.6 μL, allowing simultaneous analysis...

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Detalles Bibliográficos
Autores principales: Fernandes, Joao, Karra, Nikita, Swindle, Emily J., Morgan, Hywel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173818/
https://www.ncbi.nlm.nih.gov/pubmed/37179995
http://dx.doi.org/10.1039/d3ra00470h
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author Fernandes, Joao
Karra, Nikita
Swindle, Emily J.
Morgan, Hywel
author_facet Fernandes, Joao
Karra, Nikita
Swindle, Emily J.
Morgan, Hywel
author_sort Fernandes, Joao
collection PubMed
description A droplet generator has been developed that interfaces with a barrier-on-chip platform for temporal analyte compartmentalisation and analysis. Droplets are generated every 20 minutes in 8 separate parallel microchannels, with an average droplet volume of 9.47 ± 0.6 μL, allowing simultaneous analysis of 8 different experiments. The device was tested using an epithelial barrier model by monitoring the diffusion of a fluorescent high molecular weight dextran molecule. The epithelial barrier was perturbed using detergent leading to a peak at 3–4 hours, correlating with simulations. For the untreated (control) a constant, very low level of dextran diffusion was observed. The epithelial cell barrier properties were also continuously measured using electrical impedance spectroscopy to extract an equivalent trans epithelial resistance.
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spelling pubmed-101738182023-05-12 Droplet fluidics for time-dependent analysis of barrier permeability in an epithelial barrier on chip system Fernandes, Joao Karra, Nikita Swindle, Emily J. Morgan, Hywel RSC Adv Chemistry A droplet generator has been developed that interfaces with a barrier-on-chip platform for temporal analyte compartmentalisation and analysis. Droplets are generated every 20 minutes in 8 separate parallel microchannels, with an average droplet volume of 9.47 ± 0.6 μL, allowing simultaneous analysis of 8 different experiments. The device was tested using an epithelial barrier model by monitoring the diffusion of a fluorescent high molecular weight dextran molecule. The epithelial barrier was perturbed using detergent leading to a peak at 3–4 hours, correlating with simulations. For the untreated (control) a constant, very low level of dextran diffusion was observed. The epithelial cell barrier properties were also continuously measured using electrical impedance spectroscopy to extract an equivalent trans epithelial resistance. The Royal Society of Chemistry 2023-05-11 /pmc/articles/PMC10173818/ /pubmed/37179995 http://dx.doi.org/10.1039/d3ra00470h Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
Fernandes, Joao
Karra, Nikita
Swindle, Emily J.
Morgan, Hywel
Droplet fluidics for time-dependent analysis of barrier permeability in an epithelial barrier on chip system
title Droplet fluidics for time-dependent analysis of barrier permeability in an epithelial barrier on chip system
title_full Droplet fluidics for time-dependent analysis of barrier permeability in an epithelial barrier on chip system
title_fullStr Droplet fluidics for time-dependent analysis of barrier permeability in an epithelial barrier on chip system
title_full_unstemmed Droplet fluidics for time-dependent analysis of barrier permeability in an epithelial barrier on chip system
title_short Droplet fluidics for time-dependent analysis of barrier permeability in an epithelial barrier on chip system
title_sort droplet fluidics for time-dependent analysis of barrier permeability in an epithelial barrier on chip system
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173818/
https://www.ncbi.nlm.nih.gov/pubmed/37179995
http://dx.doi.org/10.1039/d3ra00470h
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