Evidence map›Paper›PMID 33291389›Full record

ArticleNanomaterials (Basel, Switzerland)2020

Aptamer Functionalized Lipid Multilayer Gratings for Label-Free Analyte Detection.

Plengchart Prommapan, Nermina Brljak, Troy W Lowry, David Van Winkle, Steven Lenhert

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Plengchart PrommapanDepartment of Physics, Florida State University, Tallahassee, FL 32306, USA.
Nermina BrljakDepartment of Chemistry, Florida State University, Tallahassee, FL 32306, USA.
Troy W LowryDepartment of Physics, Florida State University, Tallahassee, FL 32306, USA.
David Van WinkleDepartment of Physics, Florida State University, Tallahassee, FL 32306, USA.
Steven LenhertDepartment of Biological Science and Integrative Nanoscience Institute, Florida State University, 77 Chieftan Way, Tallahassee, FL 32306, USA.

Funding

Lipid Enhanced Nano-Sensors (LENS) for lead and mercury detection in waterR41ES028643 · NIEHS · ZANSORS, LLC · PI LENHERT, STEVEN · 2017 to 2017
$225k
NIEHS NIH HHS R41ES028643
6 · The paper itself

Abstract

Lipid multilayer gratings are promising optical biosensor elements that are capable of transducing analyte binding events into changes in an optical signal. Unlike solid state transducers, reagents related to molecular recognition and signal amplification can be incorporated into the lipid grating ink volume prior to fabrication. Here we describe a strategy for functionalizing lipid multilayer gratings with a DNA aptamer for the protein thrombin that allows label-free analyte detection. A double cholesterol-tagged, double-stranded DNA linker was used to attach the aptamer to the lipid gratings. This approach was found to be sufficient for binding fluorescently labeled thrombin to lipid multilayers with micrometer-scale thickness. In order to achieve label-free detection with the sub-100 nm-thick lipid multilayer grating lines, the binding affinity was improved by varying the lipid composition. A colorimetric image analysis of the light diffracted from the gratings using a color camera was then used to identify the grating nanostructures that lead to an optimal signal. Lipid composition and multilayer thickness were found to be critical parameters for the signal transduction from the aptamer functionalized lipid multilayer gratings.

Indexed as

aptamerarraybiosensordiagnosticsgratingmultiplexednanofabricationphotonicstransducervesicle

Identifiers

PMID33291389
PMCPMC7762078

What OpenQuestion holds

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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.