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Plasmonic SERS biosensing nanochips for DNA detection

Overview of attention for article published in Analytical & Bioanalytical Chemistry, November 2015
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Title
Plasmonic SERS biosensing nanochips for DNA detection
Published in
Analytical & Bioanalytical Chemistry, November 2015
DOI 10.1007/s00216-015-9121-4
Pubmed ID
Authors

Hoan T. Ngo, Hsin-Neng Wang, Andrew M. Fales, Tuan Vo-Dinh

Abstract

The development of rapid, cost-effective DNA detection methods for molecular diagnostics at the point-of-care (POC) has been receiving increasing interest. This article reviews several DNA detection techniques based on plasmonic-active nanochip platforms developed in our laboratory over the last 5 years, including the molecular sentinel-on-chip (MSC), the multiplex MSC, and the inverse molecular sentinel-on-chip (iMS-on-Chip). DNA probes were used as the recognition elements, and surface-enhanced Raman scattering (SERS) was used as the signal detection method. Sensing mechanisms were based on hybridization of target sequences and DNA probes, resulting in a distance change between SERS reporters and the nanochip's plasmonic-active surface. As the field intensity of the surface plasmon decays exponentially as a function of distance, the distance change in turn affects SERS signal intensity, thus indicating the presence and capture of the target sequences. Our techniques were single-step DNA detection techniques. Target sequences were detected by simple delivery of sample solutions onto DNA probe-functionalized nanochips and measuring the SERS signal after appropriate incubation times. Target sequence labeling or washing to remove unreacted components was not required, making the techniques simple, easy-to-use, and cost-effective. The usefulness of the nanochip platform-based techniques for medical diagnostics was illustrated by the detection of host genetic biomarkers for respiratory viral infection and of the dengue virus gene.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
Brazil 1 1%
Unknown 75 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 26%
Researcher 9 12%
Student > Doctoral Student 8 10%
Student > Master 7 9%
Other 4 5%
Other 8 10%
Unknown 21 27%
Readers by discipline Count As %
Engineering 11 14%
Chemistry 10 13%
Agricultural and Biological Sciences 9 12%
Biochemistry, Genetics and Molecular Biology 6 8%
Physics and Astronomy 4 5%
Other 11 14%
Unknown 26 34%
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 19 February 2016.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,542
of 9,619 outputs
Outputs of similar age
#254,736
of 297,821 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#89
of 120 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.