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Modeling and Development of a Biosensor Based on Optical Relaxation Measurements of Hybrid Nanoparticles

Overview of attention for article published in ACS Nano, December 2011
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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3 patents
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1 Google+ user

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70 Mendeley
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Article details
Title
Modeling and Development of a Biosensor Based on Optical Relaxation Measurements of Hybrid Nanoparticles
Published in
ACS Nano, December 2011
DOI 10.1021/nn2042785
Pubmed ID
Authors
Abstract

We present a new approach for homogeneous real-time immunodiagnostics (denoted as "PlasMag") that can be directly carried out in sample solutions such as serum, thus promising to circumvent the need of sample preparation. It relies on highly sensitive plasmon-optical detection of the relaxation dynamics of magnetic nanoparticles immersed in the sample solution, which changes when target molecules bind to the surfaces of the nanoparticles due to the increase in their hydrodynamic radii. This method requires hybrid nanoparticles that combine both magnetic and optical anisotropic properties. Our model calculations show that core-shell nanorods with a cobalt core diameter of 6 nm, a cobalt core length of 80 nm, and a gold shell thickness of 5 nm are ideally suited as nanoprobes. On the one hand, the spectral position of the longitudinal plasmon resonance of such nanoprobes lies in the near-infrared, where the optical absorption in serum is minimal. On the other hand, the expected change in their relaxation properties on analyte binding is maximal for rotating magnetic fields as excitation in the lower kHz regime. In order to achieve high alignment ratios of the nanoprobes, the strength of the magnetic field should be around 5 mT. While realistic distributions of the nanoprobe properties result in a decrease of their mean optical extinction, the actual relaxation signal change on analyte binding is largely unaffected. These model calculations are supported by measurements on plain cobalt nanorod dispersions, which are the base component of the aspired core-shell nanoprobes currently under development.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 70 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 %
United States 1 1%
Saudi Arabia 1 1%
France 1 1%
Germany 1 1%
Switzerland 1 1%
Unknown 65 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 18 26%
Student > Ph. D. Student 15 21%
Student > Bachelor 8 11%
Professor 4 6%
Student > Doctoral Student 3 4%
Other 8 11%
Unknown 14 20%
Readers by discipline
Readers by discipline Count As %
Chemistry 23 33%
Physics and Astronomy 14 20%
Materials Science 5 7%
Agricultural and Biological Sciences 4 6%
Engineering 2 3%
Other 4 6%
Unknown 18 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 October 2021.
All research outputs
#4,364,477
of 32,994,287 outputs
Outputs from ACS Nano
#3,929
of 18,116 outputs
Outputs of similar age
#30,365
of 297,114 outputs
Outputs of similar age from ACS Nano
#46
of 202 outputs
Altmetric has tracked 32,994,287 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,116 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done well, scoring higher than 77% 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 297,114 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 202 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.