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Decision making based on hybrid modeling approach applied to cellulose acetate based historical films conservation
Preserving culture heritage cellulose acetate-based historical films is a challenge due to the long-term instability of these complex materials and a lack of prediction models that can guide conservation strategies for each particular film. In this work, a cellulose acetate degradation model is prop...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352898/ https://www.ncbi.nlm.nih.gov/pubmed/34373492 http://dx.doi.org/10.1038/s41598-021-95373-0 |
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author | Al Mohtar, Abeer Pinto, Moisés L. Neves, Artur Nunes, Sofia Zappi, Daniele Varani, Gabriele Ramos, Ana Maria Melo, Maria João Wallaszkovits, Nadja Lahoz Rodrigo, Juan Ignacio Herlt, Kerstin Lopes, João |
author_facet | Al Mohtar, Abeer Pinto, Moisés L. Neves, Artur Nunes, Sofia Zappi, Daniele Varani, Gabriele Ramos, Ana Maria Melo, Maria João Wallaszkovits, Nadja Lahoz Rodrigo, Juan Ignacio Herlt, Kerstin Lopes, João |
author_sort | Al Mohtar, Abeer |
collection | PubMed |
description | Preserving culture heritage cellulose acetate-based historical films is a challenge due to the long-term instability of these complex materials and a lack of prediction models that can guide conservation strategies for each particular film. In this work, a cellulose acetate degradation model is proposed as the basis for the selection of appropriate strategies for storage and conservation for each specimen, considering its specific information. Due to the formulation complexity and diversity of cellulose acetate-based films produced over the decades, we hereby propose a hybrid modeling approach to describe the films degradation process. The problem is addressed by a hybrid model that uses as a backbone a first-principles based model to describe the degradation kinetics of the pure cellulose diacetate polymer. The mechanistic model was successfully adapted to fit experimental data from accelerated aging of plasticized films. The hybrid model considers then the specificity of each historical film via the development of two chemometric models. These models resource on gas release data, namely acetic acid, and descriptors of the films (manufacturing date, AD-strip value and film type) to assess the current polymer degradation state and estimate the increase in the degradation rate. These estimations are then conjugated with storage conditions (e.g., temperature and relative humidity, presence of adsorbent in the film’s box) and used to feed the mechanistic model to provide the required time degradation simulations. The developed chemometric models provided predictions with accuracy more than 87%. We have found that the storage archive as well as the manufacturing company are not determining factors for conservation but rather the manufacturing date, off gas data as well as the film type. In summary, this hybrid modeling was able to develop a practical tool for conservators to assess films conservation state and to design storage and conservation policies that are best suited for each cultural heritage film. |
format | Online Article Text |
id | pubmed-8352898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83528982021-08-10 Decision making based on hybrid modeling approach applied to cellulose acetate based historical films conservation Al Mohtar, Abeer Pinto, Moisés L. Neves, Artur Nunes, Sofia Zappi, Daniele Varani, Gabriele Ramos, Ana Maria Melo, Maria João Wallaszkovits, Nadja Lahoz Rodrigo, Juan Ignacio Herlt, Kerstin Lopes, João Sci Rep Article Preserving culture heritage cellulose acetate-based historical films is a challenge due to the long-term instability of these complex materials and a lack of prediction models that can guide conservation strategies for each particular film. In this work, a cellulose acetate degradation model is proposed as the basis for the selection of appropriate strategies for storage and conservation for each specimen, considering its specific information. Due to the formulation complexity and diversity of cellulose acetate-based films produced over the decades, we hereby propose a hybrid modeling approach to describe the films degradation process. The problem is addressed by a hybrid model that uses as a backbone a first-principles based model to describe the degradation kinetics of the pure cellulose diacetate polymer. The mechanistic model was successfully adapted to fit experimental data from accelerated aging of plasticized films. The hybrid model considers then the specificity of each historical film via the development of two chemometric models. These models resource on gas release data, namely acetic acid, and descriptors of the films (manufacturing date, AD-strip value and film type) to assess the current polymer degradation state and estimate the increase in the degradation rate. These estimations are then conjugated with storage conditions (e.g., temperature and relative humidity, presence of adsorbent in the film’s box) and used to feed the mechanistic model to provide the required time degradation simulations. The developed chemometric models provided predictions with accuracy more than 87%. We have found that the storage archive as well as the manufacturing company are not determining factors for conservation but rather the manufacturing date, off gas data as well as the film type. In summary, this hybrid modeling was able to develop a practical tool for conservators to assess films conservation state and to design storage and conservation policies that are best suited for each cultural heritage film. Nature Publishing Group UK 2021-08-09 /pmc/articles/PMC8352898/ /pubmed/34373492 http://dx.doi.org/10.1038/s41598-021-95373-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Al Mohtar, Abeer Pinto, Moisés L. Neves, Artur Nunes, Sofia Zappi, Daniele Varani, Gabriele Ramos, Ana Maria Melo, Maria João Wallaszkovits, Nadja Lahoz Rodrigo, Juan Ignacio Herlt, Kerstin Lopes, João Decision making based on hybrid modeling approach applied to cellulose acetate based historical films conservation |
title | Decision making based on hybrid modeling approach applied to cellulose acetate based historical films conservation |
title_full | Decision making based on hybrid modeling approach applied to cellulose acetate based historical films conservation |
title_fullStr | Decision making based on hybrid modeling approach applied to cellulose acetate based historical films conservation |
title_full_unstemmed | Decision making based on hybrid modeling approach applied to cellulose acetate based historical films conservation |
title_short | Decision making based on hybrid modeling approach applied to cellulose acetate based historical films conservation |
title_sort | decision making based on hybrid modeling approach applied to cellulose acetate based historical films conservation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352898/ https://www.ncbi.nlm.nih.gov/pubmed/34373492 http://dx.doi.org/10.1038/s41598-021-95373-0 |
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