Evidence map›Paper›PMID 38610388›Full record

ArticleSensors (Basel, Switzerland)2024

A Polyvinylpyrrolidone Nanofibrous Sensor Doubly Decorated with Mesoporous Graphene to Selectively Detect Acetic Acid Vapors.

Paolo Papa, Emiliano Zampetti, Fabricio Nicolas Molinari, Fabrizio De Cesare, Corrado Di Natale, Giovanna Tranfo, Antonella Macagnano

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Paolo PapaInstitute of Atmospheric Pollution Research (IIA)-CNR, 00010 Montelibretti, RM, Italy.
Emiliano ZampettiInstitute of Atmospheric Pollution Research (IIA)-CNR, 00010 Montelibretti, RM, Italy.ORCID 0000-0003-4344-5547
Fabricio Nicolas MolinariInstitute of Atmospheric Pollution Research (IIA)-CNR, 00010 Montelibretti, RM, Italy.
Fabrizio De CesareInstitute of Atmospheric Pollution Research (IIA)-CNR, 00010 Montelibretti, RM, Italy.ORCID 0000-0001-9810-8746
Corrado Di NataleDepartment of Electronic Engineering (EED), University of Tor Vergata, 00133 Rome, RM, Italy.ORCID 0000-0002-0543-4348
Giovanna TranfoDepartment of Medicine, Epidemiology, Occupational and Environmental Hygiene (DIMEILA)-INAIL, 00144 Monteporzio Catone, RM, Italy.ORCID 0000-0001-8973-6046
Antonella MacagnanoInstitute of Atmospheric Pollution Research (IIA)-CNR, 00010 Montelibretti, RM, Italy.ORCID 0000-0002-6015-4832

Funding

Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro BRIC19ID07
6 · The paper itself

Abstract

An original approach has been proposed for designing a nanofibrous (NF) layer using UV-cured polyvinylpyrrolidone (PVP) as a matrix, incorporating mesoporous graphene carbon (MGC) nanopowder both inside and outside the fibers, creating a sandwich-like structure. This architecture is intended to selectively adsorb and detect acetic acid vapors, which are known to cause health issues in exposed workers. The nanocomposite MGC-PVP-NFs layer was fabricated through electrospinning deposition onto interdigitated microelectrodes (IDEs) and stabilized under UV-light irradiation. To enhance the adhesion of MGC onto the surface of the nanocomposite polymeric fibers, the layer was dipped in a suspension of polyethyleneimine (PEI) and MGC. The resulting structure demonstrated promising electrical and sensing properties, including rapid responses, high sensitivity, good linearity, reversibility, repeatability, and selectivity towards acetic acid vapors. Initial testing was conducted in a laboratory using a bench electrometer, followed by validation in a portable sensing device based on consumer electronic components (by ARDUINO

Indexed as

acetic acid detectionelectrospun nanocomposite nanofibersmesoporous grapheneportable sensing toolselective sensor

Identifiers

PMID38610388
PMCPMC11014041

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.