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Versatile Barometer Biosensor Based on Au@Pt Core/Shell Nanoparticle Probe

Overview of attention for article published in ACS Sensors, June 2017
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
facebook
1 Facebook page

Readers on

mendeley
31 Mendeley
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Article details
Title
Versatile Barometer Biosensor Based on Au@Pt Core/Shell Nanoparticle Probe
Published in
ACS Sensors, June 2017
DOI 10.1021/acssensors.7b00156
Pubmed ID
Authors
Abstract

There is a high global demand for sensitive, portable, user-friendly, and cost-effective biosensors. In this work, we introduce a barometer-based biosensor for the detection of a broad range of targets. The device is operated by measuring the pressure change produced by oxygen (O2) generation in a limited chamber using a portable barometer. The design employs core-shell Au@Pt nanoparticles (Au@PtNPs) as the bioassay probe to catalyze the decomposition of H2O2 and the release of O2. As a proof of concept, we developed barometer-based immunosensors to detect carcinoembryonic antigen (CEA) and ractopamine (Rac). In addition, barometer-based aptasensors for sensitive detection of thrombin and mercury ion (Hg(2+)) were also developed. In order to facilitate the analysis of results, we have developed smartphone software to calculate, save, and wirelessly trsnsmit the results. Linear detection ranges for detection of CEA, Rac, thrombin, and Hg(2+) were 0.025-1.6 ng/mL, 0.0625-4 ng/mL, 4-128 U/L, and 0.25-16 ng/mL, respectively. The detection limit of these four analytes is 0.021 ng/mL, 0.051 ng/mL, 2.4 U/L, and 0.22 ng/mL, respectively. Furthermore, the developed barometer-based biosensors exhibited high specificities for these four analytes. CEA in serum samples, Rac in urine samples, thrombin in serum samples, and Hg(2+) in river water samples were measured by the barometer-based biosensors. Obtained results of these targets from barometer-based biosensors were consistent with detection results from traditional methods, indicating that barometer-based biosensors are widely applicable.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 31 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 %
Unknown 31 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 32%
Researcher 6 19%
Professor 2 6%
Student > Master 2 6%
Lecturer > Senior Lecturer 1 3%
Other 2 6%
Unknown 8 26%
Readers by discipline
Readers by discipline Count As %
Chemistry 10 32%
Materials Science 3 10%
Biochemistry, Genetics and Molecular Biology 2 6%
Physics and Astronomy 2 6%
Chemical Engineering 1 3%
Other 4 13%
Unknown 9 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 26 June 2017.
All research outputs
#1,627,918
of 28,832,041 outputs
Outputs from ACS Sensors
#165
of 3,111 outputs
Outputs of similar age
#28,367
of 341,179 outputs
Outputs of similar age from ACS Sensors
#7
of 51 outputs
Altmetric has tracked 28,832,041 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,111 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done particularly well, scoring higher than 94% 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 341,179 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 91% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.