Evidence map›Paper›PMID 32560414›Full record

ArticleSensors (Basel, Switzerland)2020

Metal Oxide Nanoparticle-Decorated Few Layer Graphene Nanoflake Chemoresistors for the Detection of Aromatic Volatile Organic Compounds.

Syrine Behi, Nadra Bohli, Juan Casanova-Cháfer, Eduard Llobet, Adnane Abdelghani

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. 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. Article
  2. Article
  3. SnSMaterials (Basel, Switzerland) · 2022
    Article
  4. Au modified PrFeOFrontiers in bioengineering and biotechnology · 2022
    Article
  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

5 authors.

Syrine BehiResearch Unit of Nanobiotechnology and Valorisation of Medicinal Phytoressources UR17ES22, National Institute of Applied Science and Technology, Carthage University, Centre Urbain Nord, 1080 Charguia CEDEX Bp 676, Tunisia.
Nadra BohliResearch Unit of Nanobiotechnology and Valorisation of Medicinal Phytoressources UR17ES22, National Institute of Applied Science and Technology, Carthage University, Centre Urbain Nord, 1080 Charguia CEDEX Bp 676, Tunisia.ORCID 0000-0003-2753-5673
Juan Casanova-CháferDepartment of Electronics Engineering, Universitat Rovira i Virgili, MINOS-EMaS, 43007 Tarragona, Spain.ORCID 0000-0002-3508-3462
Eduard LlobetDepartment of Electronics Engineering, Universitat Rovira i Virgili, MINOS-EMaS, 43007 Tarragona, Spain.ORCID 0000-0001-6164-4342
Adnane AbdelghaniResearch Unit of Nanobiotechnology and Valorisation of Medicinal Phytoressources UR17ES22, National Institute of Applied Science and Technology, Carthage University, Centre Urbain Nord, 1080 Charguia CEDEX Bp 676, Tunisia.

Funding

Agència de Gestió d'Ajuts Universitaris i de Recerca 2017SGR418Ministerio de Ciencia e Innovación RTI-2018-101580-B-I00North Atlantic Treaty Organization Science for Peace and Security Program of the North Atlantic Treaty Organization under grant no. SFP G5571
6 · The paper itself

Abstract

Benzene, toluene, and xylene, commonly known as BTX, are hazardous aromatic organic vapors with high toxicity towards living organisms. Many techniques are being developed to provide the community with portable, cost effective, and high performance BTX sensing devices in order to effectively monitor the quality of air. In this paper, we study the effect of decorating graphene with tin oxide (SnO

Indexed as

aromatic VOCBTXgraphenemetal oxide nanoparticlessensor arraytin oxidetungsten oxide

Identifiers

PMID32560414
PMCPMC7349069

What OpenQuestion holds

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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.