Evidence map›Paper›PMID 22315580›Full record

ReviewSensors (Basel, Switzerland)2010

Nanomaterials as analytical tools for genosensors.

Khalid M Abu-Salah, Salman A Alrokyan, Muhammad Naziruddin Khan, Anees Ahmad Ansari

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2010. 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. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Metal Oxide Nanoparticles as Biomedical Materials.Biomimetics (Basel, Switzerland) · 2020
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Biosensors in clinical chemistry: An overview.Advanced biomedical research · 2014
    Review
  13. Article
  14. Electrochemical sensors and biosensors.Analytical chemistry · 2012
    Review
  15. Review
  16. DNA-based applications in nanobiotechnology.Journal of biomedicine & biotechnology · 2010
    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

4 authors.

Khalid M Abu-SalahKing Abdullah Institute for Nanotechnology, King Saud University, Riyadh-11451, P.O Box-2454, Saudi Arabia. abusalah@ksu.edu.sa
Salman A Alrokyan
Muhammad Naziruddin Khan
Anees Ahmad Ansari

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanomaterials are being increasingly used for the development of electrochemical DNA biosensors, due to the unique electrocatalytic properties found in nanoscale materials. They offer excellent prospects for interfacing biological recognition events with electronic signal transduction and for designing a new generation of bioelectronic devices exhibiting novel functions. In particular, nanomaterials such as noble metal nanoparticles (Au, Pt), carbon nanotubes (CNTs), magnetic nanoparticles, quantum dots and metal oxide nanoparticles have been actively investigated for their applications in DNA biosensors, which have become a new interdisciplinary frontier between biological detection and material science. In this article, we address some of the main advances in this field over the past few years, discussing the issues and challenges with the aim of stimulating a broader interest in developing nanomaterial-based biosensors and improving their applications in disease diagnosis and food safety examination.

Indexed as

Biosensing TechniquesConductometryDNAEquipment DesignNanoparticlesNanotechnologyOligonucleotide Array Sequence AnalysisDNAcarbon nanotubesconducting polymersnanomaterialsoligonucleotidesZnO

Identifiers

PMID22315580
PMCPMC3270881

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.