Evidence map›Paper›PMID 40142124›Full record

ArticleMolecules (Basel, Switzerland)2025

Adsorption of Acetic Acid Vapors by Inorganic-Organic Nano Materials: Implications for the Inhibition of the "Vinegar Syndrome" in 20th Century Motion Picture Films.

Francesca Porpora, Lorenzo Lisi, Emiliano Carretti, Carlotta D'Aleo, Marianna De Sanctis, Samuele Baldini, Luigi Dei

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

7 authors.

Francesca PorporaDepartment of Chemistry "Ugo Schiff" & CSGI Consortium, University of Florence, Via Della Lastruccia 3-13, 50019 Sesto Fiorentino, Italy.ORCID 0000-0002-4938-1073
Lorenzo LisiDepartment of Chemistry "Ugo Schiff" & CSGI Consortium, University of Florence, Via Della Lastruccia 3-13, 50019 Sesto Fiorentino, Italy.ORCID 0009-0007-1240-9486
Emiliano CarrettiDepartment of Chemistry "Ugo Schiff" & CSGI Consortium, University of Florence, Via Della Lastruccia 3-13, 50019 Sesto Fiorentino, Italy.ORCID 0000-0001-5140-3123
Carlotta D'AleoDepartment of Chemistry "Ugo Schiff" & CSGI Consortium, University of Florence, Via Della Lastruccia 3-13, 50019 Sesto Fiorentino, Italy.ORCID 0009-0003-2439-4550
Marianna De SanctisFilm Restoration Laboratory "L'Immagine Ritrovata", Via Riva di Reno 72, 40122 Bologna, Italy.
Samuele BaldiniDepartment of Chemistry "Ugo Schiff" & CSGI Consortium, University of Florence, Via Della Lastruccia 3-13, 50019 Sesto Fiorentino, Italy.ORCID 0009-0006-7040-9137
Luigi DeiDepartment of Chemistry "Ugo Schiff" & CSGI Consortium, University of Florence, Via Della Lastruccia 3-13, 50019 Sesto Fiorentino, Italy.ORCID 0000-0002-1654-3603

Funding

University of Florence PhD Funds 2021-2023University of Florence RICATEN 2023 2024
6 · The paper itself

Abstract

Cellulose acetate (CA) motion picture films are subjected to degradation, especially due to the "vinegar syndrome", a de-acetylation process catalyzed by high temperature, humidity, and acidity. Acetic acid is released as a by-product of this reaction and acts as a catalyst that triggers an autocatalytic process. The main aim of this study was to evaluate the use of metal oxide, hydroxide, and carbonate nanoparticles, as well as their composite inorganic-organic systems, for the adsorption of acetic acid and the inhibition of the deacetylation process. Various nanoparticles (Ca(OH)

Indexed as

carbonate nanoparticlescellulose acetatehydroxidemotion picture films conservationoxidepolyvinyl alcohol formaldehyde polymers“vinegar syndrome”xerogels

Identifiers

PMID40142124
PMCPMC11945910

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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.