Evidence map›Paper›PMID 30844287›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2019

Characterization of the Lipid Structure and Fluidity of Lipid Membranes on Epitaxial Graphene and Their Correlation to Graphene Features.

Megan Farell, Maxwell Wetherington, Manish Shankla, Inseok Chae, Shruti Subramanian, Seong H Kim, Aleksei Aksimentiev, Joshua Robinson, Manish Kumar

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2019. 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

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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

9 authors.

Megan Farell
Maxwell Wetherington
Manish ShanklaDepartment of Physics , University of Illinois at Urbana Champaign , Urbana , Illinois 61801 , United States.
Inseok Chae
Shruti SubramanianORCID 0000-0002-8933-9486
Aleksei AksimentievDepartment of Physics , University of Illinois at Urbana Champaign , Urbana , Illinois 61801 , United States.ORCID 0000-0002-6042-8442

Funding

WHOLE CELL SIMULATIONP41GM104601 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI TAJKHORSHID, EMAD · 2012 to 2021
$19.0M
Plasmonic nanopores for trapping, controlled motion and sequencing of DNAR01HG007406 · NHGRI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI AKSIMENTIEV, ALEKSEI · 2013 to 2016
$2.4M
NHGRI NIH HHS R01 HG007406NIGMS NIH HHS P41 GM104601
6 · The paper itself

Abstract

Graphene has been recognized as an enhanced platform for biosensors because of its high electron mobility. To integrate active membrane proteins into graphene-based materials for such applications, graphene's surface must be functionalized with lipids to mimic the biological environment of these proteins. Several studies have examined supported lipids on various types of graphene and obtained conflicting results for the lipid structure. Here, we present a correlative characterization technique based on fluorescence measurements in a Raman spectroscopy setup to study the lipid structure and dynamics on epitaxial graphene. Compared to other graphene variations, epitaxial graphene is grown on a substrate more conducive to production of electronics and offers unique topographic features. On the basis of experimental and computational results, we propose that a lipid sesquilayer (1.5 bilayer) forms on epitaxial graphene and demonstrate that the distinct surface features of epitaxial graphene affect the structure and diffusion of supported lipids.

Indexed as

DiffusionGraphiteMembrane LipidsNanotechnologySpectrum Analysis, RamanSurface PropertiesGraphiteMembrane Lipids

Identifiers

PMID30844287
PMCPMC6449857

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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.