Evidence map›Paper›PMID 41244468›Full record

ArticleACS omega2025

Quantitative SERS-Based Sandwich-Hybridization Assay for Nucleic Acid Detection.

Kosar Shahsavar, Amr Mostafa, Dina Mahdi-Joest, Anton S Zverev, Sergio Kogikoski, Morteza Hosseini, Ilko Bald

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Kosar ShahsavarInstitute of Chemistry, Hybrid Nanostructures, University of Potsdam, Karl-Liebknecht-Str. 24-25, Potsdam 14476, Germany.
Amr MostafaInstitute of Chemistry, Hybrid Nanostructures, University of Potsdam, Karl-Liebknecht-Str. 24-25, Potsdam 14476, Germany.
Dina Mahdi-JoestInstitute of Chemistry, Hybrid Nanostructures, University of Potsdam, Karl-Liebknecht-Str. 24-25, Potsdam 14476, Germany.
Anton S ZverevInstitute of Chemistry, Hybrid Nanostructures, University of Potsdam, Karl-Liebknecht-Str. 24-25, Potsdam 14476, Germany.
Sergio KogikoskiInstitute of Chemistry, Hybrid Nanostructures, University of Potsdam, Karl-Liebknecht-Str. 24-25, Potsdam 14476, Germany.ORCID https://orcid.org/0000-0003-0365-9962
Morteza HosseiniNanobiosensors Lab, Department of Nanobiotechnology and Biomimetics, School of Life Science Engineering, College of Interdisciplinary Science and Technology, University of Tehran Tehran 1439817435, Iran.
Ilko BaldInstitute of Chemistry, Hybrid Nanostructures, University of Potsdam, Karl-Liebknecht-Str. 24-25, Potsdam 14476, Germany.ORCID https://orcid.org/0000-0002-6683-5065

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface-enhanced Raman spectroscopy (SERS) has great potential for quantifying biological molecules, particularly DNA. In this study, we developed a SERS-based sandwich-hybridization assay for detecting DNA corresponding to viral (SARS-CoV-2) RNA using commercially available components and standard bioconjugation procedures; hence, no sophisticated synthesis steps were required. The assay employs TAMRA-labeled DNA conjugated to gold nanoparticles as nanoprobes and biotin-labeled surface DNA strands. Upon hybridization with the target analyte, the complete sandwich structure forms and is captured on a neutravidin-coated glass via the avidin-biotin interaction. The observed Raman signals originate from the TAMRA reporter dye, leveraging signal enhancement from both resonance and plasmonic effects, enabling the sensitive detection of the target analyte. Quantification of target DNA was performed using both a conventional single-point peak-height spectral analysis and a binary image-based analysis, with the latter providing a reliable evaluation of the assay's performance. Additionally, atomic force microscopy (AFM) was employed to characterize the samples, and the strong correlation between AFM and SERS results confirms the accuracy and reliability of this approach.

Identifiers

PMID41244468
PMCPMC12612968

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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.