Computational simulations in advanced microfluidic devices: a review
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/1822/75193 |
Resumo: | Numerical simulations have revolutionized research in several engineering areas by contributing to the understanding and improvement of several processes, being biomedical engineering one of them. Due to their potential, computational tools have gained visibility and have been increasingly used by several research groups as a supporting tool for the development of preclinical platforms as they allow studying, in a more detailed and faster way, phenomena that are difficult to study experimentally due to the complexity of biological processes present in these models-namely, heat transfer, shear stresses, diffusion processes, velocity fields, etc. There are several contributions already in the literature, and significant advances have been made in this field of research. This review provides the most recent progress in numerical studies on advanced microfluidic devices, such as organ-on-a-chip (OoC) devices, and how these studies can be helpful in enhancing our insight into the physical processes involved and in developing more effective OoC platforms. In general, it has been noticed that in some cases, the numerical studies performed have limitations that need to be improved, and in the majority of the studies, it is extremely difficult to replicate the data due to the lack of detail around the simulations carried out. |
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Computational simulations in advanced microfluidic devices: a reviewComputational simulationsDrug discoveryOrgan-on-a-chipMicrofluidic devicesPreclinical modelsNumerical simulationsScience & TechnologyNumerical simulations have revolutionized research in several engineering areas by contributing to the understanding and improvement of several processes, being biomedical engineering one of them. Due to their potential, computational tools have gained visibility and have been increasingly used by several research groups as a supporting tool for the development of preclinical platforms as they allow studying, in a more detailed and faster way, phenomena that are difficult to study experimentally due to the complexity of biological processes present in these models-namely, heat transfer, shear stresses, diffusion processes, velocity fields, etc. There are several contributions already in the literature, and significant advances have been made in this field of research. This review provides the most recent progress in numerical studies on advanced microfluidic devices, such as organ-on-a-chip (OoC) devices, and how these studies can be helpful in enhancing our insight into the physical processes involved and in developing more effective OoC platforms. In general, it has been noticed that in some cases, the numerical studies performed have limitations that need to be improved, and in the majority of the studies, it is extremely difficult to replicate the data due to the lack of detail around the simulations carried out.The authors are grateful for the funding of FCT through projects NORTE-01-0145-FEDER 029394, NORTE-01-0145-FEDER-030171 funded by COMPETE2020, NORTE2020, PORTUGAL2020, and FEDER. This work was also supported by Fundação para a Ciência e a Tecnologia (FCT) under the strategic grants UIDB/04077/2020, UIDB/00319/2020, UIDB/04436/2020, and UIDB/00532/2020.Multidisciplinary Digital Publishing Institute (MDPI)Universidade do MinhoCarvalho, Violeta MenesesRodrigues, Raquel OliveiraLima, Rui Alberto Madeira MacedoTeixeira, S. F. C. F.2021-09-232021-09-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/75193engCarvalho, V.; Rodrigues, R.O.; Lima, R.A.; Teixeira, S. Computational Simulations in Advanced Microfluidic Devices: A Review. Micromachines 2021, 12, 1149. https://doi.org/10.3390/mi121011492072-666X10.3390/mi12101149https://www.mdpi.com/2072-666X/12/10/1149info: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:RCAAP2023-07-21T12:30:13Zoai:repositorium.sdum.uminho.pt:1822/75193Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:25:20.777507Repositório 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 |
Computational simulations in advanced microfluidic devices: a review |
title |
Computational simulations in advanced microfluidic devices: a review |
spellingShingle |
Computational simulations in advanced microfluidic devices: a review Carvalho, Violeta Meneses Computational simulations Drug discovery Organ-on-a-chip Microfluidic devices Preclinical models Numerical simulations Science & Technology |
title_short |
Computational simulations in advanced microfluidic devices: a review |
title_full |
Computational simulations in advanced microfluidic devices: a review |
title_fullStr |
Computational simulations in advanced microfluidic devices: a review |
title_full_unstemmed |
Computational simulations in advanced microfluidic devices: a review |
title_sort |
Computational simulations in advanced microfluidic devices: a review |
author |
Carvalho, Violeta Meneses |
author_facet |
Carvalho, Violeta Meneses Rodrigues, Raquel Oliveira Lima, Rui Alberto Madeira Macedo Teixeira, S. F. C. F. |
author_role |
author |
author2 |
Rodrigues, Raquel Oliveira Lima, Rui Alberto Madeira Macedo Teixeira, S. F. C. F. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Carvalho, Violeta Meneses Rodrigues, Raquel Oliveira Lima, Rui Alberto Madeira Macedo Teixeira, S. F. C. F. |
dc.subject.por.fl_str_mv |
Computational simulations Drug discovery Organ-on-a-chip Microfluidic devices Preclinical models Numerical simulations Science & Technology |
topic |
Computational simulations Drug discovery Organ-on-a-chip Microfluidic devices Preclinical models Numerical simulations Science & Technology |
description |
Numerical simulations have revolutionized research in several engineering areas by contributing to the understanding and improvement of several processes, being biomedical engineering one of them. Due to their potential, computational tools have gained visibility and have been increasingly used by several research groups as a supporting tool for the development of preclinical platforms as they allow studying, in a more detailed and faster way, phenomena that are difficult to study experimentally due to the complexity of biological processes present in these models-namely, heat transfer, shear stresses, diffusion processes, velocity fields, etc. There are several contributions already in the literature, and significant advances have been made in this field of research. This review provides the most recent progress in numerical studies on advanced microfluidic devices, such as organ-on-a-chip (OoC) devices, and how these studies can be helpful in enhancing our insight into the physical processes involved and in developing more effective OoC platforms. In general, it has been noticed that in some cases, the numerical studies performed have limitations that need to be improved, and in the majority of the studies, it is extremely difficult to replicate the data due to the lack of detail around the simulations carried out. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09-23 2021-09-23T00:00:00Z |
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/1822/75193 |
url |
http://hdl.handle.net/1822/75193 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Carvalho, V.; Rodrigues, R.O.; Lima, R.A.; Teixeira, S. Computational Simulations in Advanced Microfluidic Devices: A Review. Micromachines 2021, 12, 1149. https://doi.org/10.3390/mi12101149 2072-666X 10.3390/mi12101149 https://www.mdpi.com/2072-666X/12/10/1149 |
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.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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