Adsorption kinetics of acetic acid into ZnO/castor oil-derived polyurethanes.

Acetic acid Adsorption Castor oil Cultural heritage conservation Kinetics Polyurethanes Preventive conservation VOCs removal Zinc acetate Zinc oxide

Journal

Journal of colloid and interface science
ISSN: 1095-7103
Titre abrégé: J Colloid Interface Sci
Pays: United States
ID NLM: 0043125

Informations de publication

Date de publication:
15 Feb 2023
Historique:
received: 08 09 2022
revised: 09 11 2022
accepted: 10 11 2022
pubmed: 22 11 2022
medline: 7 12 2022
entrez: 21 11 2022
Statut: ppublish

Résumé

Materials and colloids science can provide significant contributions to the conservation of Cultural Heritage. Hybrid systems made of a castor oil-derived polymeric network and a disperse phase of zinc oxide particles (ZnO/COPs) can be more effective absorbers of acetic acid (AcOH, a major pollutant harmful to artifacts in museums and art collections) than state-of-the-art materials, provided the acid uptake mechanism by the hybrids is elucidated and optimized. The starting hypothesis was that the polymer matrix might act as transporter, while acid adsorption would take place at the ZnO particles surface. The effect of particles size was expected to play a significant role. The adsorption kinetics of the hybrids were studied in the 23-45˚C range, in comparison with activated charcoal, the benchmark employed by conservators. Morphological and fractal dimension of ZnO micro- and nano-particles in the hybrid networks were investigated and correlated to the adsorption kinetics. The presence of a two-steps mechanism for AcOH uptake by the hybrids was demonstrated for the first time: a combination of Fickian diffusion and Case-II transport occurs in the COP matrix, and adsorption dominates acid uptake (followed by neutralization) at the particles surface. This mechanism is likely key to explain the enhanced performances of the hybrids vs activated charcoal and state-of-the-art tools to remove AcOH. The hybrids have high uptake capacity, and lower activation energies for the removal process than materials where the uptake of acid relies solely on adsorption. The size of the ZnO particles contributes to the process, i.e. nanoparticles form smaller and ramified fractal clusters that are able to adsorb AcOH more effectively than microparticles. These insights demonstrated the efficacy of the novel hybrids in art conservation, where the control of minimal concentrations of VOCs is crucial for the preventive conservation of masterpieces, and can be useful to other fields where efficient capture of acetic acid is critical (food industry, textile dyeing/printing, etc.).

Identifiants

pubmed: 36410296
pii: S0021-9797(22)02001-X
doi: 10.1016/j.jcis.2022.11.049
pii:
doi:

Substances chimiques

Castor Oil 8001-79-4
Acetic Acid Q40Q9N063P
Zinc Oxide SOI2LOH54Z
Polyurethanes 0
Charcoal 16291-96-6
Polymers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

74-86

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Alessio Zuliani (A)

Department of Chemistry "Ugo Schiff" and CSGI, University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino, Florence, Italy.

David Chelazzi (D)

Department of Chemistry "Ugo Schiff" and CSGI, University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino, Florence, Italy. Electronic address: david.chelazzi@unifi.it.

Rosangela Mastrangelo (R)

Department of Chemistry "Ugo Schiff" and CSGI, University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino, Florence, Italy.

Rodorico Giorgi (R)

Department of Chemistry "Ugo Schiff" and CSGI, University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino, Florence, Italy.

Piero Baglioni (P)

Department of Chemistry "Ugo Schiff" and CSGI, University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino, Florence, Italy. Electronic address: piero.baglioni@unifi.it.

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Classifications MeSH