Research Data Leeds Repository

Lipid coated liquid crystal droplets for the on-chip detection of Antimicrobial peptides  - dataset

Citation

Bao, Peng (2019) Lipid coated liquid crystal droplets for the on-chip detection of Antimicrobial peptides  - dataset. University of Leeds. [Dataset] https://doi.org/10.5518/466

Dataset description

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.

Keywords: liquid crystal, microfluidics, lipids, droplets, anitimicrobial peptides
Subjects: F000 - Physical sciences > F300 - Physics
Divisions: Faculty of Engineering and Physical Sciences > School of Physics and Astronomy
Related resources:
LocationType
https://doi.org/10.1039/C8LC01291APublication
https://eprints.whiterose.ac.uk/141866/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 05 Mar 2019 18:39
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/498

Files

Documentation

Data

Research Data Leeds Repository is powered by EPrints
Copyright © University of Leeds