Evidence map›Paper›PMID 35684300›Full record

ArticleMolecules (Basel, Switzerland)2022

Modelling the Interaction between Carboxylic Acids and Zinc Oxide: Insight into Degradation of ZnO Pigments.

Jihan Lubani, Filippo De Angelis, Daniele Meggiolaro, Laura Cartechini, Simona Fantacci

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
9.4field-weighted citation impact, top 3% of its field
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

3 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Jihan LubaniDepartment of Chemistry, Biology and Biotechnology, University of Perugia, UdR INSTM di Perugia, Via Elce Di Sotto 8, 06123 Perugia, Italy.
Filippo De AngelisDepartment of Chemistry, Biology and Biotechnology, University of Perugia, UdR INSTM di Perugia, Via Elce Di Sotto 8, 06123 Perugia, Italy.
Daniele MeggiolaroComputational Laboratory for Hybrid/Organic Photovoltaics (CLHYO), Istituto CNR Di Scienze e Tecnologie Chimiche "Giulio Natta" (CNR-SCITEC), Via Elce Di Sotto 8, 06123 Perugia, Italy.
Laura CartechiniComputational Laboratory for Hybrid/Organic Photovoltaics (CLHYO), Istituto CNR Di Scienze e Tecnologie Chimiche "Giulio Natta" (CNR-SCITEC), Via Elce Di Sotto 8, 06123 Perugia, Italy.ORCID 0000-0001-9834-0801
Simona FantacciComputational Laboratory for Hybrid/Organic Photovoltaics (CLHYO), Istituto CNR Di Scienze e Tecnologie Chimiche "Giulio Natta" (CNR-SCITEC), Via Elce Di Sotto 8, 06123 Perugia, Italy.
Prince Mohammad bin Fahd University · SAUniversity of Perugia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational modelling applied to cultural heritage can assist the characterization of painting materials and help to understand their intrinsic and external degradation processes. The degradation of the widely employed zinc oxide (ZnO)-a white pigment mostly used in oil paints-leads to the formation of metal soaps, complexes of Zn ions and long-chain fatty acids coming from the degradation of the oil binder. Being a serious problem affecting the appearance and the structural integrity of many oil paintings, it is relevant to characterize the structure of these complexes and to understand the reaction pathways associated with this degradation process. Density functional theory (DFT) calculations were performed to investigate the adsorption of the acetate and acetic acid on relatively large ZnO clusters and the formation of Zn-acetate complexes. Carboxylic acids with longer alkyl chains were then investigated as more realistic models of the fatty acids present in the oil medium. In addition, DFT calculations using a periodic ZnO slab were performed in order to compare the obtained results at different levels of theory. Optimization calculations as well as the formation energies of the ZnO@carboxylate coupled systems and the thermodynamics leading to possible degradation products were computed. Our results highlight the potential for DFT calculations to provide a better understanding of oil paint degradation, with the aim of contributing to the development of strengthening and conservation strategies of paintings.

Indexed as

Zinc OxideAdsorptionCarboxylic AcidsFatty AcidsThermodynamicsCarboxylic AcidsFatty AcidsZinc OxidedegradationDFT modellingoil paintZnO pigment

Identifiers

PMID35684300
PMCPMC9181975
OpenAlexW4282934356

What OpenQuestion holds

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LicenceCC BY
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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.