Evidence map›Paper›PMID 33921010›Full record

ReviewBiosensors2021

Plasmonic Biosensors for Single-Molecule Biomedical Analysis.

Elba Mauriz, Laura M Lechuga

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 57 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Optical Processes behind Plasmonic Applications.Nanomaterials (Basel, Switzerland) · 2023
    Review
  14. Review
  15. Article
  16. Localized Nanopore Fabrication via Controlled Breakdown.Nanomaterials (Basel, Switzerland) · 2022
    Review
  17. Review
  18. Article
  19. Review
  20. Article
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

2 authors at 2 institutions in 1 country.

Elba MaurizDepartment of Nursing and Physiotherapy, Universidad de León, Campus de Vegazana, s/n, 24071 León, Spain.ORCID 0000-0002-6459-8107
Laura M LechugaNanobiosensors and Bioanalytical Applications Group, Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC, BIST, and CIBER-BBN, Campus UAB, 08193 Barcelona, Spain.ORCID 0000-0001-5187-5358
Institut Català de Nanociència i Nanotecnologia · ESUniversidad de León · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid spread of epidemic diseases (i.e., coronavirus disease 2019 (COVID-19)) has contributed to focus global attention on the diagnosis of medical conditions by ultrasensitive detection methods. To overcome this challenge, increasing efforts have been driven towards the development of single-molecule analytical platforms. In this context, recent progress in plasmonic biosensing has enabled the design of novel detection strategies capable of targeting individual molecules while evaluating their binding affinity and biological interactions. This review compiles the latest advances in plasmonic technologies for monitoring clinically relevant biomarkers at the single-molecule level. Functional applications are discussed according to plasmonic sensing modes based on either nanoapertures or nanoparticle approaches. A special focus was devoted to new analytical developments involving a wide variety of analytes (e.g., proteins, living cells, nucleic acids and viruses). The utility of plasmonic-based single-molecule analysis for personalized medicine, considering technological limitations and future prospects, is also overviewed.

Indexed as

BiomarkersBiosensing TechniquesCOVID-19HumansNanoparticlesNucleic AcidsSARS-CoV-2Single-Cell AnalysisSurface Plasmon ResonanceVirus DiseasesBiomarkersNucleic Acidsbiosensorsliving-cellsnanoparticlenanostructurenucleic acidsplasmonicssingle-molecule analysisvirus

Identifiers

PMID33921010
PMCPMC8071374
OpenAlexW3154613527

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.