Evidence map›Paper›PMID 31175281›Full record

ArticleNature communications2019

Enhanced photocatalysis and biomolecular sensing with field-activated nanotube-nanoparticle templates.

Sawsan Almohammed, Sebastian Tade Barwich, Andrew K Mitchell, Brian J Rodriguez, James H Rice

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Sawsan AlmohammedSchool of Physics, University College Dublin, Belfield, Dublin 4, D04 V1W8, Ireland.ORCID http://orcid.org/0000-0002-5990-5088
Sebastian Tade BarwichSchool of Physics, Trinity College Dublin, Dublin 2, D02 PN40, Ireland.
Andrew K MitchellSchool of Physics, University College Dublin, Belfield, Dublin 4, D04 V1W8, Ireland. andrew.mitchell@ucd.ie.ORCID http://orcid.org/0000-0002-0652-2710
Brian J RodriguezSchool of Physics, University College Dublin, Belfield, Dublin 4, D04 V1W8, Ireland. brian.rodriguez@ucd.ie.ORCID http://orcid.org/0000-0001-9419-2717
James H RiceSchool of Physics, University College Dublin, Belfield, Dublin 4, D04 V1W8, Ireland. james.rice@ucd.ie.

Funding

Science Foundation Ireland (SFI) 12/IP/1556
6 · The paper itself

Abstract

The development of new catalysts for oxidation reactions is of central importance for many industrial processes. Plasmonic catalysis involves photoexcitation of templates/chips to drive and enhance oxidation of target molecules. Raman-based sensing of target molecules can also be enhanced by these templates. This provides motivation for the rational design, characterization, and experimental demonstration of effective template nanostructures. In this paper, we report on a template comprising silver nanoparticles on aligned peptide nanotubes, contacted with a microfabricated chip in a dry environment. Efficient plasmonic catalysis for oxidation of molecules such as p-aminothiophenol results from facile trans-template charge transfer, activated and controlled by application of an electric field. Raman detection of biomolecules such as glucose and nucleobases are also dramatically enhanced by the template. A reduced quantum mechanical model is formulated, comprising a minimum description of key components. Calculated nanotube-metal-molecule charge transfer is used to understand the catalytic mechanism and shows this system is well-optimized.

Indexed as

CatalysisMetal NanoparticlesNanotubes, PeptideOxidation-ReductionElectricitySilverSpectrum Analysis, RamanNanotubes, PeptideSilver

Identifiers

PMID31175281
PMCPMC6555825

What OpenQuestion holds

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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.