Evidence map›Paper›PMID 40213455›Full record

ArticleSmall science2024

Pushing the Limits of Lateral Flow Immunoassay by Digital SERS for the Ultralow Detection of SARS-CoV-2 Virus.

Lara González-Cabaleiro, Carlos Fernández-Lodeiro, Lorena Vázquez-Iglesias, Pablo Soriano-Maldonado, Mark J van Raaij, Gustavo Bodelón, Jorge Pérez-Juste, Isabel Pastoriza-Santos

Abstract read
In one paragraph

Article in Small science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
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

8 authors.

Lara González-CabaleiroCINBIO Universidade de Vigo, Campus Universitario As Lagoas Marcosende Vigo 36310 Spain.ORCID https://orcid.org/0000-0002-2975-7248
Carlos Fernández-LodeiroCINBIO Universidade de Vigo, Campus Universitario As Lagoas Marcosende Vigo 36310 Spain.
Lorena Vázquez-IglesiasCINBIO Universidade de Vigo, Campus Universitario As Lagoas Marcosende Vigo 36310 Spain.ORCID https://orcid.org/0000-0002-0203-3514
Pablo Soriano-MaldonadoCentro Nacional de Biotecnología (CNB-CSIC) calle Darwin 3 Madrid 28049 Spain.ORCID https://orcid.org/0000-0002-3696-1319
Mark J van RaaijCentro Nacional de Biotecnología (CNB-CSIC) calle Darwin 3 Madrid 28049 Spain.ORCID https://orcid.org/0000-0002-4781-1375
Gustavo BodelónCINBIO Universidade de Vigo, Campus Universitario As Lagoas Marcosende Vigo 36310 Spain.ORCID https://orcid.org/0000-0003-2815-7635
Jorge Pérez-JusteCINBIO Universidade de Vigo, Campus Universitario As Lagoas Marcosende Vigo 36310 Spain.ORCID https://orcid.org/0000-0002-4614-1699
Isabel Pastoriza-SantosCINBIO Universidade de Vigo, Campus Universitario As Lagoas Marcosende Vigo 36310 Spain.ORCID https://orcid.org/0000-0002-1091-1364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lateral flow immunoassays (LFIAs) are easy-to-use antigen tests that provide different signal readouts, with colorimetric readouts being the most commonly used. However, these analytical devices have relatively low sensitivity and produce semiquantitative results, limiting their diagnostic applications. Herein, we address these challenges by implementing a digital surface-enhanced Raman spectroscopy (SERS)-based LFIA for the accurate and ultrasensitive quantitative detection of SARS-CoV-2 nucleocapsid (N) protein. Compared with average SERS intensity measurements, the digital approach allowed to overcome fluctuations in Raman scattering signals, thereby increasing the analytical sensitivity of the assay. Our method exhibited a quantification range of the viral protein in nasal swabs from 0.001 to 10 pg mL

Indexed as

digital SERSNanoBiosensorSARS‐CoV‐2SERS‐based LFIA

Identifiers

PMID40213455
PMCPMC11935054

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.