Evidence map›Paper›PMID 41441111›Full record

ArticleGels (Basel, Switzerland)2025

Aging Characterization and Preliminary Exploration of Gel-Based Cleaning of Cellulose Acetate in José Escada's

Susana França de Sá, Sara Babo, Artur Neves, Alexandra Garcia, Sofia Nunes, Aurora Cairoli, Maria João Melo

Abstract read
In one paragraph

Article in Gels (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.

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

7 authors.

Susana França de SáLAQV-REQUIMTE, Department of Conservation and Restoration, NOVA School of Science and Technology, 2829-516 Caparica, Portugal.ORCID 0000-0003-2445-9361
Sara BaboLAQV-REQUIMTE, Department of Conservation and Restoration, NOVA School of Science and Technology, 2829-516 Caparica, Portugal.ORCID 0000-0003-3271-5353
Artur NevesThe David Booth Conservation Center, The Museum of Modern Art, New York, NY 10019, USA.ORCID 0000-0002-4491-9217
Alexandra GarciaLAQV-REQUIMTE, Department of Conservation and Restoration, NOVA School of Science and Technology, 2829-516 Caparica, Portugal.
Sofia NunesLAQV-REQUIMTE, Department of Conservation and Restoration, NOVA School of Science and Technology, 2829-516 Caparica, Portugal.
Aurora CairoliLAQV-REQUIMTE, Department of Conservation and Restoration, NOVA School of Science and Technology, 2829-516 Caparica, Portugal.ORCID 0009-0000-5613-1286
Maria João MeloLAQV-REQUIMTE, Department of Conservation and Restoration, NOVA School of Science and Technology, 2829-516 Caparica, Portugal.ORCID 0000-0001-7393-6801

Funding

Fundação para a Ciência e Tecnologia 10.54499/UIDP/50006/2023Fundação para a Ciência e Tecnologia 2022.05086.PTDCFundação para a Ciência e Tecnologia UID/50006/2023
6 · The paper itself

Abstract

Cellulose acetate (CA) is a semi-synthetic polymer widely present in modern and contemporary collections, yet its conservation poses major challenges due to its chemical and physical instability. Hydrolytic degradation, acetic acid release, plasticizer loss, and embrittlement compromise both structure and surface, making cleaning particularly difficult. Conventional cleaning methods may cause abrasion, extract additives, or alter gloss. Although hydrogels have shown promise for CA cleaning, the literature remains extremely limited. This study reports a preliminary investigation of gel-based cleaning on

Indexed as

contemporary artgel cleaningplastics agingplastics conservation

Identifiers

PMID41441111
PMCPMC12732853

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.