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Enabling Rapid and Specific Surface-Enhanced Raman Scattering Immunoassay Using Nanoscaled Surface Shear Forces

Overview of attention for article published in ACS Nano, May 2015
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Title
Enabling Rapid and Specific Surface-Enhanced Raman Scattering Immunoassay Using Nanoscaled Surface Shear Forces
Published in
ACS Nano, May 2015
DOI 10.1021/acsnano.5b01929
Pubmed ID
Authors

Yuling Wang, Ramanathan Vaidyanathan, Muhammad J A Shiddiky, Matt Trau

Abstract

A rapid and simple approach is presented to address the most critical issues of surface-enhanced Raman scattering (SERS)-based immunoassay such as removal/avoiding nonspecific adsorption and reducing assay time. The approach demonstrated involves rationally designed fluorophore integrated gold/silver nanoshells as SERS nanotags and utilizes alternative current electrohydrodynamic (ac-EHD) - induced nanoscaled surface shear forces to enhance the capture kinetics. The assay performance was validated in comparison with hydrodynamic flow and conventional immunoassay based devices. These nanoscaled physical forces acting within nanometer distances from the surface enabled rapid (40 min), sensitive (10 fg/mL) and highly specific detection of human epidermal growth factor receptor 2 (HER2) in breast cancer patient samples. We believe this approach presents potential for the development of rapid and sensitive SERS immunoassays for routine clinical diagnosis.

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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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 41%
Student > Master 6 15%
Researcher 5 12%
Student > Doctoral Student 1 2%
Professor 1 2%
Other 3 7%
Unknown 8 20%
Readers by discipline Count As %
Chemistry 9 22%
Engineering 5 12%
Materials Science 4 10%
Physics and Astronomy 3 7%
Agricultural and Biological Sciences 3 7%
Other 7 17%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 May 2015.
All research outputs
#18,411,569
of 22,807,037 outputs
Outputs from ACS Nano
#11,403
of 12,827 outputs
Outputs of similar age
#193,574
of 267,780 outputs
Outputs of similar age from ACS Nano
#206
of 225 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,827 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 4th percentile – i.e., 4% 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 267,780 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.