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Single-Particle Plasmon Voltammetry (spPV) for Detecting Anion Adsorption

Overview of attention for article published in Nano Letters, March 2016
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Article details
Title
Single-Particle Plasmon Voltammetry (spPV) for Detecting Anion Adsorption
Published in
Nano Letters, March 2016
DOI 10.1021/acs.nanolett.5b04990
Pubmed ID
Authors
Abstract

Nanoparticle and thin film surface plasmons are highly sensitive to electrochemically induced dielectric changes. We exploited this sensitivity to detect reversible electrochemical potential-driven anion adsorption by developing single-particle plasmon voltammetry (spPV) using plasmonic nanoantennas. spPV was used to detect sulfate electroadsorption to individual Au nanoantennas. By comparing both semiconducting and metallic thin film substrates with Au nanoparticle monomers and dimers, we demonstrated that using Au film substrates improved the signal in detecting sulfate electroadsorption and desorption through adsorbate modulated thin film conductance. Using single-particle surface plasmon spectroscopic techniques, we constructed spPV to sense sulfate, acetate, and perchlorate adsorption on coupled Au nanoantennas. spPV extends dynamic spectroelectrochemical sensing to the single-nanoantenna level using both individual plasmon resonance modes and total scattering intensity fluctuations.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Netherlands 1 1%
Spain 1 1%
Unknown 67 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 22 32%
Researcher 10 14%
Student > Bachelor 6 9%
Professor 6 9%
Student > Doctoral Student 5 7%
Other 15 22%
Unknown 5 7%
Readers by discipline
Readers by discipline Count As %
Chemistry 33 48%
Physics and Astronomy 10 14%
Engineering 9 13%
Materials Science 4 6%
Agricultural and Biological Sciences 1 1%
Other 2 3%
Unknown 10 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 April 2016.
All research outputs
#14,255,539
of 22,858,915 outputs
Outputs from Nano Letters
#9,112
of 12,402 outputs
Outputs of similar age
#160,485
of 300,926 outputs
Outputs of similar age from Nano Letters
#133
of 195 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,402 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 300,926 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 195 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.