Evidence map›Paper›PMID 30781545›Full record

ArticleNanomaterials (Basel, Switzerland)2019

Electrospinning of Polystyrene/Polyhydroxybutyrate Nanofibers Doped with Porphyrin and Graphene for Chemiresistor Gas Sensors.

Joshua Avossa, Roberto Paolesse, Corrado Di Natale, Emiliano Zampetti, Giovanni Bertoni, Fabrizio De Cesare, Giuseppe Scarascia-Mugnozza, Antonella Macagnano

Open access · goldAbstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.3field-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

18 citing papers in PubMed, 66 citations in OpenAlex.

  1. Review
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  4. The Influence of the Nature of the Polymer Incorporating the Same AInternational journal of molecular sciences · 2023
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  18. Conductive Electrospun Nanofiber Mats.Materials (Basel, Switzerland) · 2019
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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

8 authors at 4 institutions in 1 country.

Joshua AvossaInstitute of Atmospheric Pollution Research⁻National Research Council (IIA-CNR), Research Area of Rome 1, Via Salaria km 29.300, 00016 Monterotondo, Italy. joshua.avossa@iia.cnr.it.ORCID 0000-0003-3758-986X
Roberto PaolesseInstitute of Atmospheric Pollution Research⁻National Research Council (IIA-CNR), Research Area of Rome 1, Via Salaria km 29.300, 00016 Monterotondo, Italy. paolesse@uniroma2.it.
Corrado Di NataleInstitute of Atmospheric Pollution Research⁻National Research Council (IIA-CNR), Research Area of Rome 1, Via Salaria km 29.300, 00016 Monterotondo, Italy. dinatale@uniroma2.it.ORCID 0000-0002-0543-4348
Emiliano ZampettiInstitute of Atmospheric Pollution Research⁻National Research Council (IIA-CNR), Research Area of Rome 1, Via Salaria km 29.300, 00016 Monterotondo, Italy. e.zampetti@iia.cnr.it.
Giovanni BertoniInstitute of Materials for Electronics and Magnetism⁻National Research Council (IMEM-CNR), Parco Area delle Scienze 37/A, 43124 Parma, Italy. giovanni.bertoni@imem.cnr.it.ORCID 0000-0001-6424-9102
Fabrizio De CesareInstitute of Atmospheric Pollution Research⁻National Research Council (IIA-CNR), Research Area of Rome 1, Via Salaria km 29.300, 00016 Monterotondo, Italy. decesare@unitus.it.ORCID 0000-0001-9810-8746
Giuseppe Scarascia-MugnozzaDepartment for Innovation in Biological, Agro-food and Forest Systems (DIBAF), Via S. Camillo de Lellis, 00100 Viterbo, Italy. gscaras@unitus.it.
Antonella MacagnanoInstitute of Atmospheric Pollution Research⁻National Research Council (IIA-CNR), Research Area of Rome 1, Via Salaria km 29.300, 00016 Monterotondo, Italy. antonella.macagnano@cnr.it.ORCID 0000-0002-6015-4832
Università degli Studi della Tuscia · ITNational Research Council · ITUniversity of Rome Tor Vergata · ITInstitute of Materials for Electronics and Magnetism · IT

Funding

Institute for Insurance against Accidents at Work (INAIL) BRIC ID.12 2016
6 · The paper itself

Abstract

Structural and functional properties of polymer composites based on carbon nanomaterials are so attractive that they have become a big challenge in chemical sensors investigation. In the present study, a thin nanofibrous layer, comprising two insulating polymers (polystyrene (PS) and polyhydroxibutyrate (PHB)), a known percentage of nanofillers of mesoporous graphitized carbon (MGC) and a free-base tetraphenylporphyrin, was deposited onto an Interdigitated Electrode (IDE) by electrospinning technology. The potentials of the working temperature to drive both the sensitivity and the selectivity of the chemical sensor were studied and described. The effects of the porphyrin combination with the composite graphene⁻polymer system appeared evident when nanofibrous layers, with and without porphyrin, were compared for their morphology and electrical and sensing parameters. Porphyrin fibers appeared smoother and thinner and were more resistive at lower temperature, but became much more conductive when temperature increased to 60⁻70 °C. Both adsorption and diffusion of chemicals seemed ruled by porphyrin according its combination inside the composite fiber, since the response rates dramatically increased (toluene and acetic acid). Finally, the opposite effect of the working temperature on the sensitivity of the porphyrin-doped fibers (i.e., increasing) and the porphyrin-free fibers (i.e., decreasing) seemed further confirmation of the key role of such a macromolecule in the VOC (volatile organic compound) adsorption.

Indexed as

chemosensorelectrospinning depositionH2TPPmesoporous graphenenanocomposite conductive polymerspolyhydroxibutyratepolystyreneVOCs selectivity

Identifiers

PMID30781545
PMCPMC6409903
OpenAlexW2913971383

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.