Evidence map›Paper›PMID 35956741›Full record

ArticlePolymers2022

On-the-Fly Formation of Polymer Film at Water Surface.

Veronica Vespini, Sara Coppola, Pietro Ferraro

Abstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Veronica VespiniInstitute of Applied Sciences and Intelligent Systems "E. Caianiello", National Research Council (CNR-ISASI), Via Campi Flegrei 34, 80078 Pozzuoli, NA, Italy.ORCID 0000-0001-5793-6860
Sara CoppolaInstitute of Applied Sciences and Intelligent Systems "E. Caianiello", National Research Council (CNR-ISASI), Via Campi Flegrei 34, 80078 Pozzuoli, NA, Italy.ORCID 0000-0002-2795-0079
Pietro FerraroInstitute of Applied Sciences and Intelligent Systems "E. Caianiello", National Research Council (CNR-ISASI), Via Campi Flegrei 34, 80078 Pozzuoli, NA, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The self-propulsion of bodies floating in water is of great interest for developing new robotic and intelligent systems at different scales, and whenever possible, Marangoni propulsion is an attractive candidate for the locomotion of untethered micro-robots. Significant cases have been shown using liquid and solid surfactants that allow an effective propulsion for bodies floating on water to be achieved. Here, we show for the first time a strategy for activating a twofold functionality where the self-propulsion of a floating body is combined with the formation of a polymer thin film at the water surface. In fact, we demonstrate that by using polymer droplets with an appropriate concentration of solvent and delivering such drops at specific locations onto freely floating objects, it is possible to form "on-the-fly" thin polymer films at the free water surface. By exploiting self-propulsion, a polymer thin film can be formed that could cover quite extensive areas with different shapes depending on the motion of the floating object. This intriguing twice-functionality activated though a single phenomenon, i.e., film formation and related locomotion, could be used in perspective to perform complex operations at water surfaces, such as dynamic liquid packaging, cleaning, and moving away floating particles, monolayer films, or macro-sized objects, as discussed in the text.

Indexed as

filminterfaceliquid packagingMarangoni propulsionpolymerspreadingsurface tension

Identifiers

PMID35956741
PMCPMC9370879

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.