Evidence map›Paper›PMID 30785139›Full record

ArticleLab on a chip2019

Lipid coated liquid crystal droplets for the on-chip detection of antimicrobial peptides.

Peng Bao, Daniel A Paterson, Patrick L Harrison, Keith Miller, Sally Peyman, J Cliff Jones, Jonathan Sandoe, Stephen D Evans, Richard J Bushby, Helen F Gleeson

Abstract read
In one paragraph

Article in Lab on a chip, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  17. Chiral nematic liquid crystal droplets as a basis for sensor systems.Molecular systems design & engineering · 2022
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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

10 authors.

Peng BaoSchool of Physics and Astronomy, University of Leeds, Leeds, UK. s.d.evans@leeds.ac.uk r.j.bushby@leeds.ac.uk h.f.gleeson@leeds.ac.uk.
Daniel A Paterson
Patrick L Harrison
Keith Miller
Sally Peyman
J Cliff Jones
Jonathan Sandoe
Stephen D Evans
Richard J Bushby
Helen F Gleeson

Funding

Medical Research Council MC_PC_14109Medical Research Council MR/M009084/1
6 · The paper itself

Abstract

We describe a novel biosensor based on phospholipid-coated nematic liquid crystal (LC) droplets and demonstrate the detection of Smp43, a model antimicrobial peptide (AMP) from the venom of North African scorpion Scorpio maurus palmatus. Mono-disperse lipid-coated LC droplets of diameter 16.7 ± 0.2 μm were generated using PDMS microfluidic devices with a flow-focusing configuration and were the target for AMPs. The droplets were trapped in a bespoke microfluidic trap structure and were simultaneously treated with Smp43 at gradient concentrations in six different chambers. The disruption of the lipid monolayer by the Smp43 was detected (<6 μM) at concentrations well within its biologically active range, indicated by a dramatic change in the appearance of the droplets associated with the transition from a typical radial configuration to a bipolar configuration, which is readily observed by polarizing microscopy. This suggests the system has feasibility as a drug-discovery screening tool. Further, compared to previously reported LC droplet biosensors, this LC droplet biosensor with a lipid coating is more biologically relevant and its ease of use in detecting membrane-related biological processes and interactions has the potential for development as a reliable, low-cost and disposable point of care diagnostic tool.

Indexed as

Antimicrobial Cationic PeptidesBiosensing TechniquesLab-On-A-Chip DevicesLiquid CrystalsMicroscopy, FluorescencePhospholipidsUnilamellar LiposomesAntimicrobial Cationic PeptidesPhospholipidsUnilamellar Liposomes

Identifiers

PMID30785139
PMCPMC6484679

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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.