Evidence map›Paper›PMID 33804089›Full record

ArticleNanomaterials (Basel, Switzerland)2021

Polyurethane Foams Loaded with Carbon Nanofibers for Oil Spill Recovery: Mechanical Properties under Fatigue Conditions and Selective Absorption in Oil/Water Mixtures.

Annamaria Visco, Antonino Quattrocchi, Davide Nocita, Roberto Montanini, Alessandro Pistone

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

5 authors.

Annamaria ViscoDepartment of Engineering, University of Messina, C.da di Dio (S. Agata), I-98166 Messina, Italy.ORCID 0000-0003-1602-9361
Antonino QuattrocchiDepartment of Engineering, University of Messina, C.da di Dio (S. Agata), I-98166 Messina, Italy.ORCID 0000-0002-2567-9588
Davide NocitaPolymer IRC, Faculty of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK.
Roberto MontaniniDepartment of Engineering, University of Messina, C.da di Dio (S. Agata), I-98166 Messina, Italy.ORCID 0000-0002-9754-0139
Alessandro PistoneDepartment of Engineering, University of Messina, C.da di Dio (S. Agata), I-98166 Messina, Italy.ORCID 0000-0001-9298-944X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine pollution due to spillage of hydrocarbons represents a well-known current environmental problem. In order to recover the otherwise wasted oils and to prevent pollution damage, polyurethane foams are considered suitable materials for their ability to separate oils from sea-water and for their reusability. In this work we studied polyurethane foams filled with carbon nanofibers, in varying amounts, aimed at enhancing the selectivity of the material towards the oils and at improving the mechanical durability of the foam. Polyurethane-based foams were experimentally characterized by morphological, surface, and mechanical analyses (optical microscopy observation, contact angle measurement, absorption test according to ASTM F726-99 standard and compression fatigue tests according to ISO 24999 standard). Results indicated an increase in hydrophobic behavior and a good oleophilic character of the composite sponges besides an improved selective absorption of the foam toward oils in mixed water/oil media. The optimal filler amount was found to be around 1 wt% for the homogeneous distribution inside the polymeric foam. Finally, the fatigue test results showed an improvement of the mechanical properties of the foam with the growing carbon filler amount.

Indexed as

carbon nanofillerfatigueoil spill recoverypolyurethane foamsselective adsorption

Identifiers

PMID33804089
PMCPMC8000632

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Registered trials

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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.