Evidence map›Paper›PMID 37179995›Full record

ArticleRSC advances2023

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

Joao Fernandes, Nikita Karra, Emily J Swindle, Hywel Morgan

Abstract read
In one paragraph

Article in RSC advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Joao FernandesElectronics and Computer Science, Faculty of Physical Sciences and Engineering, University of Southampton UK hm@ecs.soton.ac.uk.ORCID https://orcid.org/0000-0002-4504-8249
Nikita KarraElectronics and Computer Science, Faculty of Physical Sciences and Engineering, University of Southampton UK hm@ecs.soton.ac.uk.
Emily J SwindleClinical and Experimental Sciences, Faculty of Medicine, University of Southampton UK.
Hywel MorganElectronics and Computer Science, Faculty of Physical Sciences and Engineering, University of Southampton UK hm@ecs.soton.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID37179995
PMCPMC10173818

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Registered trials

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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.