Evidence map›Paper›PMID 23713574›Full record

ArticleACS nano2013

Surface-enhanced Raman spectroscopy based quantitative bioassay on aptamer-functionalized nanopillars using large-area Raman mapping.

Jaeyoung Yang, Mirko Palla, Filippo Giacomo Bosco, Tomas Rindzevicius, Tommy Sonne Alstrøm, Michael Stenbæk Schmidt, Anja Boisen, Jingyue Ju, Qiao Lin

Abstract read
In one paragraph

Article in ACS nano, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 151 citations in OpenAlex.

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  6. Surface-Enhanced Raman Spectroscopy at the Interface between Drug Discovery and Personalized Medicine.The journal of physical chemistry. C, Nanomaterials and interfaces · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Jaeyoung YangDepartment of Mechanical Engineering, Columbia University, New York, New York 10027, USA.
Mirko Palla
Filippo Giacomo Bosco
Tomas Rindzevicius
Tommy Sonne Alstrøm
Michael Stenbæk Schmidt
Anja Boisen
Jingyue Ju
Qiao Lin
Columbia University · US

Funding

Single Molecule DNA Sequencing by Fluorescent Nucleotide Reversible TerminatorsR01HG005109 · NHGRI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI JU, JINGYUE · 2009 to 2011
$1.8M
Theranostic Molecular Automata for Specific Cell EliminationRC2CA147925 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STOJANOVIC, MILAN N · 2009 to 2010
$1.8M
Microfluidic Selection of Aptamers for Biological Purification ApplicationsR21RR025816 · NCRR · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI LIN, QIAO · 2010 to 2011
$392k
NCI NIH HHS CA147925-01NCI NIH HHS RC2 CA147925NCRR NIH HHS R21 RR025816NCRR NIH HHS RR025816-02NHGRI NIH HHS R01 HG005109
6 · The paper itself

Abstract

Surface-enhanced Raman spectroscopy (SERS) has been used in a variety of biological applications due to its high sensitivity and specificity. Here, we report a SERS-based biosensing approach for quantitative detection of biomolecules. A SERS substrate bearing gold-decorated silicon nanopillars is functionalized with aptamers for sensitive and specific detection of target molecules. In this study, TAMRA-labeled vasopressin molecules in the picomolar regime (1 pM to 1 nM) are specifically captured by aptamers on the nanostructured SERS substrate and monitored by using an automated SERS signal mapping technique. From the experimental results, we show concentration-dependent SERS responses in the picomolar range by integrating SERS signal intensities over a scanning area. It is also noted that our signal mapping approach significantly improves statistical reproducibility and accounts for spot-to-spot variation in conventional SERS quantification. Furthermore, we have developed an analytical model capable of predicting experimental intensity distributions on the substrates for reliable quantification of biomolecules. Lastly, we have calculated the minimum needed area of Raman mapping for efficient and reliable analysis of each measurement. Combining our SERS mapping analysis with an aptamer-functionalized nanopillar substrate is found to be extremely efficient for detection of low-abundance biomolecules.

Indexed as

NanostructuresSpectrum Analysis, RamanAptamers, NucleotideBiological AssayHexanolsModels, MolecularMolecular ConformationReproducibility of ResultsSulfhydryl CompoundsSurface Properties6-mercapto-1-hexanolAptamers, NucleotideHexanolsSulfhydryl Compounds

Identifiers

PMID23713574
PMCPMC3915935
OpenAlexW2092575834

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.