Evidence map›Paper›PMID 27490578›Full record

ReviewBiosensors2016

Electrochemical, Electrochemiluminescence, and Photoelectrochemical Aptamer-Based Nanostructured Sensors for Biomarker Analysis.

Andrea Ravalli, Diego Voccia, Ilaria Palchetti, Giovanna Marrazza

Abstract readReview
In one paragraph

Review in Biosensors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Functionalization of 2D MoSBiosensors · 2022
    Review
  7. Review
  8. Article
  9. Article
  10. Aptasensors forFrontiers in microbiology · 2021
    Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Aptamer Sensors.Biosensors · 2017
    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

4 authors.

Andrea RavalliDepartment of Chemistry "Ugo Schiff", University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino (FI), Italy. andrea.ravalli@unifi.it.
Diego VocciaDepartment of Chemistry "Ugo Schiff", University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino (FI), Italy. diego.voccia@unifi.it.
Ilaria PalchettiDepartment of Chemistry "Ugo Schiff", University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino (FI), Italy. ilaria.palchetti@unifi.it.
Giovanna MarrazzaDepartment of Chemistry "Ugo Schiff", University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino (FI), Italy. giovanna.marrazza@unifi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aptamer-based sensors have been intensively investigated as potential analytical tools in clinical analysis providing the desired portability, fast response, sensitivity, and specificity, in addition to lower cost and simplicity versus conventional methods. The aim of this review, without pretending to be exhaustive, is to give the readers an overview of recent important achievements about electrochemical, electrochemiluminescence, and photoelectrochemical aptasensors for the protein biomarker determination, mainly cancer related biomarkers, by selected recent publications. Special emphasis is placed on nanostructured-based aptasensors, which show a substantial improvement of the analytical performances.

Indexed as

Aptamers, NucleotideBiomarkersNanostructuresBiosensing TechniquesElectrochemical TechniquesElectrochemistryHumansLuminescent MeasurementsPhotochemistryAptamers, NucleotideBiomarkersaptamerbiomarkerbiosensorelectrochemicalelectrochemiluminescentnanomaterialphotoelectrochemical

Identifiers

PMID27490578
PMCPMC5039658

What OpenQuestion holds

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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.