Evidence map›Paper›PMID 27774984›Full record

ArticleScientific reports2016

Energy Transfer Sensitization of Luminescent Gold Nanoclusters: More than Just the Classical Förster Mechanism.

Eunkeu Oh, Alan L Huston, Andrew Shabaev, Alexander Efros, Marc Currie, Kimihiro Susumu, Konrad Bussmann, Ramasis Goswami, Fredrik K Fatemi, Igor L Medintz

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

10 authors.

Eunkeu OhOptical Sciences Division Code 5600, U.S. Naval Research Laboratory, Washington, DC 20375, USA.
Alan L HustonOptical Sciences Division Code 5600, U.S. Naval Research Laboratory, Washington, DC 20375, USA.
Andrew ShabaevCenter for Computational Material Science Code 6390, U.S. Naval Research Laboratory, Washington, DC 20375, USA.
Alexander EfrosCenter for Computational Material Science Code 6390, U.S. Naval Research Laboratory, Washington, DC 20375, USA.
Marc CurrieOptical Sciences Division Code 5600, U.S. Naval Research Laboratory, Washington, DC 20375, USA.
Kimihiro SusumuOptical Sciences Division Code 5600, U.S. Naval Research Laboratory, Washington, DC 20375, USA.
Konrad BussmannMaterials and Sensors Branch Code 6361, U.S. Naval Research Laboratory, Washington, DC 20375, USA.
Ramasis GoswamiMultifunctional Materials Code 6351, U.S. Naval Research Laboratory, Washington, DC 20375, USA.
Fredrik K FatemiOptical Sciences Division Code 5600, U.S. Naval Research Laboratory, Washington, DC 20375, USA.
Igor L MedintzCenter for Bio/Molecular Science and Engineering Code 6900, U.S. Naval Research Laboratory, Washington, DC 20375, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Luminescent gold nanocrystals (AuNCs) are a recently-developed material with potential optic, electronic and biological applications. They also demonstrate energy transfer (ET) acceptor/sensitization properties which have been ascribed to Förster resonance energy transfer (FRET) and, to a lesser extent, nanosurface energy transfer (NSET). Here, we investigate AuNC acceptor interactions with three structurally/functionally-distinct donor classes including organic dyes, metal chelates and semiconductor quantum dots (QDs). Donor quenching was observed for every donor-acceptor pair although AuNC sensitization was only observed from metal-chelates and QDs. FRET theory dramatically underestimated the observed energy transfer while NSET-based damping models provided better fits but could not reproduce the experimental data. We consider additional factors including AuNC magnetic dipoles, density of excited-states, dephasing time, and enhanced intersystem crossing that can also influence ET. Cumulatively, data suggests that AuNC sensitization is not by classical FRET or NSET and we provide a simplified distance-independent ET model to fit such experimental data.

Identifiers

PMID27774984
PMCPMC5075882

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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.