Evidence map›Paper›PMID 36326814›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2022

Single-Molecule Trapping and Measurement in a Nanostructured Lipid Bilayer System.

Maria Bespalova, Robin Öz, Fredrik Westerlund, Madhavi Krishnan

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2022. 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.

Maria BespalovaPhysical and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, South Parks Road, OxfordOX1 3QZ, United Kingdom.
Robin ÖzDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96Gothenburg, Sweden.
Fredrik WesterlundDepartment of Biology and Biological Engineering, Chalmers University of Technology, 412 96Gothenburg, Sweden.ORCID 0000-0002-4767-4868
Madhavi KrishnanPhysical and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, South Parks Road, OxfordOX1 3QZ, United Kingdom.ORCID 0000-0003-1274-7155

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The repulsive electrostatic force between a biomolecule and a like-charged surface can be geometrically tailored to create spatial traps for charged molecules in solution. Using a parallel-plate system composed of silicon dioxide surfaces, we recently demonstrated single-molecule trapping and high precision molecular charge measurements in a nanostructured free energy landscape. Here we show that surfaces coated with charged lipid bilayers provide a system with tunable surface properties for molecular electrometry experiments. Working with molecular species whose effective charge and geometry are well-defined, we demonstrate the ability to quantitatively probe the electrical charge density of a supported lipid bilayer. Our findings indicate that the fraction of charged lipids in nanoslit lipid bilayers can be significantly different from that in the precursor lipid mixtures used to generate them. We also explore the temporal stability of bilayer properties in nanofluidic systems. Beyond their relevance in molecular measurement, such experimental systems offer the opportunity to examine lipid bilayer formation and wetting dynamics on nanostructured surfaces.

Indexed as

Lipid BilayersNanostructuresSilicon DioxideStatic ElectricitySurface PropertiesLipid BilayersSilicon Dioxide

Identifiers

PMID36326814
PMCPMC9671048

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.