Evidence map›Paper›PMID 36628748›Full record

ArticleAnalytica chimica acta2023

Plasmonic nanostructure-enhanced Raman scattering for detection of SARS-CoV-2 nucleocapsid protein and spike protein variants.

Yi-Jui Yeh, Trong-Nghia Le, Wesley Wei-Wen Hsiao, Kuo-Lun Tung, Kostya Ken Ostrikov, Wei-Hung Chiang

Open access · greenAbstract read
In one paragraph

Article in Analytica chimica acta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.3field-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

12 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Review
  3. Optical lateral flow assays in early diagnosis of SARS-CoV-2 infection.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
    Review
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  5. Article
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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

6 authors at 3 institutions in 2 countries.

Yi-Jui YehDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan; Department of Chemical Engineering, National Taiwan University, Taipei, 10617, Taiwan.
Trong-Nghia LeDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan; Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei, 10617, Taiwan.
Wesley Wei-Wen HsiaoDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan. Electronic address: weshsiao@mail.ntust.edu.tw.
Kuo-Lun TungDepartment of Chemical Engineering, National Taiwan University, Taipei, 10617, Taiwan. Electronic address: kltung@ntu.edu.tw.
Kostya Ken OstrikovSchool of Chemistry and Physics, Centre for Materials Science, Centre for Biomedical Technologies, Queensland University of Technology (QUT), Brisbane, QLD, 4000, Australia.
Wei-Hung ChiangDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan. Electronic address: whchiang@mail.ntust.edu.tw.
National Taiwan University of Science and Technology · TWNational Taiwan University · TWQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological control and public health monitoring during the outbreaks of infectious viral diseases rely on the ability to detect viral pathogens. Here we demonstrate a rapid, sensitive, and selective nanotechnology-enhanced severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection based on the surface-enhanced Raman scattering (SERS) responses from the plasma-engineered, variant-specific antibody-functionalized silver microplasma-engineered nanoassemblies (AgMEN) interacting with the SARS-CoV-2 spike (S) and nucleocapsid (N) proteins. The three-dimensional (3D) porous AgMEN with plasmonic-active nanostructures provide a high sensitivity to virus detection via the remarkable SERS signal collection. Moreover, the variant-specific antibody-functionalization on the SERS-active AgMEN enabled the high selectivity of the SARS-CoV-2 S variants, including wild-type, Alpha, Delta, and Omicron, under the simulated human saliva conditions. The exceptional ultrahigh sensitivity of our SERS biosensor was demonstrated via SARS-CoV-2 S and N proteins at the detection limit of 1 fg mL

Indexed as

COVID-19NanostructuresHumansLimit of DetectionSARS-CoV-2Spectrum Analysis, RamanSpike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Pathogen detectionPoint-of-care testRaman spectroscopyRapid diagnosisSARS-CoV-2SERS

Identifiers

PMID36628748
PMCPMC9677586
OpenAlexW4309521728

What OpenQuestion holds

Textmetadata
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.