Evidence map›Paper›PMID 29974265›Full record

ReviewMikrochimica acta2018

Metal oxide nanoparticles in electrochemical sensing and biosensing: a review.

Jaise Mariya George, Arun Antony, Beena Mathew

Abstract readReview
PubMed Publisher
In one paragraph

Review in Mikrochimica acta, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing 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

82 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Immune Microenvironment in Liver Cancer: From Analysis to Targeting.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  6. Article
  7. Additive-Enhanced SnONanomaterials (Basel, Switzerland) · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Eco-Friendly Synthesis of Zirconium Dioxide Nanoparticles fromNanomaterials (Basel, Switzerland) · 2025
    Article
  20. Review

22 more citing papers are in PubMed but not listed here.

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

3 authors.

Jaise Mariya GeorgeSchool of Chemical Sciences, Mahatma Gandhi University, Kottayam, 686560, Kerala, India.
Arun AntonySchool of Chemical Sciences, Mahatma Gandhi University, Kottayam, 686560, Kerala, India.
Beena MathewSchool of Chemical Sciences, Mahatma Gandhi University, Kottayam, 686560, Kerala, India. beenamathew@mgu.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review (with (318) refs) describes progress made in the design and synthesis of morphologically different metal oxide nanoparticles made from iron, manganese, titanium, copper, zinc, zirconium, cobalt, nickel, tungsten, silver, and vanadium. It also covers respective composites and their function and application in the field of electrochemical and photoelectrochemical sensing of chemical and biochemical species. The proper incorporation of chemical functionalities into these nanomaterials warrants effective detection of target molecules including DNA hybridization and sensing of DNA or the formation of antigen/antibody complexes. Significant data are summarized in tables. The review concludes with a discussion or current challenge and future perspectives. Graphical abstract ᅟ.

Indexed as

Biosensing TechniquesElectrochemistryElectrodesMetalsNanoparticlesOxidesMetalsOxidesAmperometryElectrocatalysisElectrochemical sensingGrapheneMCo2O4Modified electrodeMolecular imprinted polymer sensorMWCNTNickel hydroxide electrodesSensitivity

Identifiers

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.