Group contribution and atomic contribution models for the prediction of various physical properties of deep eutectic solvents
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/144677 |
Resumo: | Publisher Copyright: © 2021, The Author(s). |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Group contribution and atomic contribution models for the prediction of various physical properties of deep eutectic solventsGeneralPublisher Copyright: © 2021, The Author(s).The urgency of advancing green chemistry from labs and computers into the industries is well-known. The Deep Eutectic Solvents (DESs) are a promising category of novel green solvents which simultaneously have the best advantages of liquids and solids. Furthermore, they can be designed or engineered to have the characteristics desired for a given application. However, since they are rather new, there are no general models available to predict the properties of DESs without requiring other properties as input. This is particularly a setback when screening is required for feasibility studies, since a vast number of DESs are envisioned. For the first time, this study presents five group contribution (GC) and five atomic contribution (AC) models for densities, refractive indices, heat capacities, speeds of sound, and surface tensions of DESs. The models, developed using the most up-to-date databank of various types of DESs, simply decompose the molecular structure into a number of predefined groups or atoms. The resulting AARD% of densities, refractive indices, heat capacities, speeds of sound and surface tensions were, respectively, 1.44, 0.37, 3.26, 1.62, and 7.59% for the GC models, and 2.49, 1.03, 9.93, 4.52 and 7.80% for the AC models. Perhaps, even more importantly for designer solvents, is the predictive capability of the models, which was also shown to be highly reliable. Accordingly, very simple, yet highly accurate models are provided that are global for DESs and needless of any physical property information, making them useful predictive tools for a category of green solvents, which is only starting to show its potentials in green technology.LAQV@REQUIMTERUNHaghbakhsh, RezaRaeissi, SonaDuarte, Ana Rita C.2022-10-13T22:17:59Z2021-122021-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/144677eng2045-2322PURE: 45571328https://doi.org/10.1038/s41598-021-85824-zinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:24:28Zoai:run.unl.pt:10362/144677Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:51:41.295158Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Group contribution and atomic contribution models for the prediction of various physical properties of deep eutectic solvents |
title |
Group contribution and atomic contribution models for the prediction of various physical properties of deep eutectic solvents |
spellingShingle |
Group contribution and atomic contribution models for the prediction of various physical properties of deep eutectic solvents Haghbakhsh, Reza General |
title_short |
Group contribution and atomic contribution models for the prediction of various physical properties of deep eutectic solvents |
title_full |
Group contribution and atomic contribution models for the prediction of various physical properties of deep eutectic solvents |
title_fullStr |
Group contribution and atomic contribution models for the prediction of various physical properties of deep eutectic solvents |
title_full_unstemmed |
Group contribution and atomic contribution models for the prediction of various physical properties of deep eutectic solvents |
title_sort |
Group contribution and atomic contribution models for the prediction of various physical properties of deep eutectic solvents |
author |
Haghbakhsh, Reza |
author_facet |
Haghbakhsh, Reza Raeissi, Sona Duarte, Ana Rita C. |
author_role |
author |
author2 |
Raeissi, Sona Duarte, Ana Rita C. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
LAQV@REQUIMTE RUN |
dc.contributor.author.fl_str_mv |
Haghbakhsh, Reza Raeissi, Sona Duarte, Ana Rita C. |
dc.subject.por.fl_str_mv |
General |
topic |
General |
description |
Publisher Copyright: © 2021, The Author(s). |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12 2021-12-01T00:00:00Z 2022-10-13T22:17:59Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/144677 |
url |
http://hdl.handle.net/10362/144677 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2045-2322 PURE: 45571328 https://doi.org/10.1038/s41598-021-85824-z |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138109844094976 |