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Real-time size discrimination and elemental analysis of gold nanoparticles using ES-DMA coupled to ICP-MS

Overview of attention for article published in Analytical & Bioanalytical Chemistry, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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2 news outlets
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1 X user

Citations

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59 Dimensions

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45 Mendeley
Title
Real-time size discrimination and elemental analysis of gold nanoparticles using ES-DMA coupled to ICP-MS
Published in
Analytical & Bioanalytical Chemistry, January 2013
DOI 10.1007/s00216-012-6617-z
Pubmed ID
Authors

Sherrie Elzey, De-Hao Tsai, Lee L. Yu, Michael R. Winchester, Michael E. Kelley, Vincent A. Hackley

Abstract

We report the development of a hyphenated instrument with the capacity to quantitatively characterize aqueous suspended gold nanoparticles (AuNPs) based on a combination of gas-phase size separation, particle counting, and elemental analysis. A customized electrospray-differential mobility analyzer (ES-DMA) was used to achieve real-time upstream size discrimination. A condensation particle counter and inductively coupled plasma mass spectrometer (ICP-MS) were employed as downstream detectors, providing information on number density and elemental composition, respectively, of aerosolized AuNPs versus the upstream size selected by ES-DMA. A gas-exchange device was designed and optimized to improve the conversion of air flow (from the electrospray) to argon flow required to sustain the ICP-MS plasma, the key compatibility issue for instrumental hyphenation. Our work provides the proof of concept and a working prototype for utilizing this construct to successfully measure (1) number- and mass-based distributions; (2) elemental compositions of nanoparticles classified by size, where the size classification and elemental analysis are performed within a single experiment; (3) particle concentrations in both solution (before size discrimination) and aerosol (after size discrimination) phases; and (4) the number of atoms per nanoparticle or the nanoparticle density.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 7 16%
Professor 4 9%
Student > Doctoral Student 4 9%
Student > Master 4 9%
Other 8 18%
Unknown 9 20%
Readers by discipline Count As %
Chemistry 15 33%
Environmental Science 6 13%
Engineering 6 13%
Chemical Engineering 2 4%
Agricultural and Biological Sciences 2 4%
Other 3 7%
Unknown 11 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 18 March 2014.
All research outputs
#2,062,792
of 25,373,627 outputs
Outputs from Analytical & Bioanalytical Chemistry
#124
of 9,618 outputs
Outputs of similar age
#19,497
of 286,804 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#2
of 88 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,618 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 98% of its peers.
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 286,804 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.