Cited by 36Gold and Silver Nanoparticles Synthesis and ApplicationsAdvanced biosensing and bioanalysis techniquesSARS-CoV-2 detection and testing

Surface-enhanced Raman scattering molecular sentinel nanoprobes for viral infection diagnostics

Open access
Wang, Hsin-Neng, Fales, Andrew M., Zaas, Aimee K., Woods, Christopher W., Burke, Thomas, Ginsburg, Geoffrey S., Vo-Dinh, Tuan·2013·Analytica Chimica Acta

Abstract

In this paper, we describe a surface-enhanced Raman scattering (SERS)-based detection approach, referred to as "molecular sentinel" (MS) plasmonic nanoprobes, to detect an RNA target related to viral infection. The MS method is essentially a label-free technique incorporating the SERS effect modulation scheme associated with silver nanoparticles and Raman dye-labeled DNA hairpin probes. Hybridization with target sequences opens the hairpin and spatially separates the Raman label from the silver surface thus reducing the SERS signal of the label. Herein, we have developed a MS nanoprobe to detect the human radical S-adenosyl methionine domain containing 2 (RSAD2) RNA target as a model system for method demonstration. The human RSAD2 gene has recently emerged as a novel host-response biomarker for diagnosis of respiratory infections. Our results showed that the RSAD2 MS nanoprobes exhibits high specificity and can detect as low as 1 nM target sequences. With the use of a portable Raman spectrometer and total RNA samples, we have also demonstrated for the first time the potential of the MS nanoprobe technology for detection of host-response RNA biomarkers for infectious disease diagnostics.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.aca.2013.05.017

Cites

38 of 38 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Wang, H.-N., Fales, A. M., Zaas, A. K., Woods, C. W., Burke, T., Ginsburg, G. S., & Vo-Dinh, T.
Affiliations
Duke University (US)
Venue
Analytica Chimica Acta
Publisher
Elsevier BV
Published
2013-07
Volume
786
Pages
153-158
ISSN
0003-2670 (ISSN-L)
OpenAlex
W1983113101
Cited by
36
References
38
Citations by year
2026: 2 · 2025: 1 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 2 · 2020: 2 · 2019: 2 · 2018: 2 · 2017: 1 · 2016: 3 · 2015: 7 · 2014: 5 · 2013: 2 · 2012: 1
FWCI
2.01
Type
journal article
Language
en
Open access
Locations
  • Analytica Chimica Acta (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of Biomedical Imaging and Bioengineering (R01EB006201)
Topics
  • Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Gold and Silver Nanoparticles Synthesis and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 detection and testing
Keywords
surface-enhanced Raman scattering, plasmonic nanoprobes, silver nanoparticles, host response biomarkers, respiratory infections, portable Raman spectrometer
MeSH terms
Viperin Protein, Humans, Proteins, Respiratory Tract Infections, Silver Nitrate, Spectrum Analysis, Raman, DNA Probes, Nanotechnology, Oxidoreductases Acting on CH-CH Group Donors, Metal Nanoparticles

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review