Numerical prototyping of lateral flow biosensors

Autores
Schaumburg, Federico; Kler, Pablo Alejandro; Berli, Claudio Luis Alberto
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Lateral flow biosensors (LFB) have become a hot topic in the scientific literature in association with the rapid growing of paper-based microfluidics. Improving the existing LFB technology is a challenging task that demands large experimental efforts. Thus computer simulations are practical tools to assist the development of novel devices, since running virtual experiments considerably reduces costs and time in the path from design to real LFB prototypes. We present a computational tool for 3D numerical prototyping of LFB, which accounts for the fluid dynamics (including capillary-driven flow) in the heterogeneous porous materials, the transport of reactive components, and all the biochemical reactions involved. Mathematical modeling was carried out in the framework of continuum transport phenomena, and numerical calculations were implemented by using the finite element method. This numerical prototyping allows developers to explore arbitrary architectures, materials, and assay formats, which is demonstrated here by discussing different real-world examples. The advantages of the proposed numerical model are also discussed in relation to up-to-date reported methods.
Fil: Schaumburg, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Kler, Pablo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; Argentina
Fil: Berli, Claudio Luis Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Materia
Numerical prototype
Lateral flow biosensor
Lateral flow immunoassay
Paper-based microfluidics
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/86242
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Numerical prototyping of lateral flow biosensorsSchaumburg, FedericoKler, Pablo AlejandroBerli, Claudio Luis AlbertoNumerical prototypeLateral flow biosensorLateral flow immunoassayPaper-based microfluidicshttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2Lateral flow biosensors (LFB) have become a hot topic in the scientific literature in association with the rapid growing of paper-based microfluidics. Improving the existing LFB technology is a challenging task that demands large experimental efforts. Thus computer simulations are practical tools to assist the development of novel devices, since running virtual experiments considerably reduces costs and time in the path from design to real LFB prototypes. We present a computational tool for 3D numerical prototyping of LFB, which accounts for the fluid dynamics (including capillary-driven flow) in the heterogeneous porous materials, the transport of reactive components, and all the biochemical reactions involved. Mathematical modeling was carried out in the framework of continuum transport phenomena, and numerical calculations were implemented by using the finite element method. This numerical prototyping allows developers to explore arbitrary architectures, materials, and assay formats, which is demonstrated here by discussing different real-world examples. The advantages of the proposed numerical model are also discussed in relation to up-to-date reported methods.Fil: Schaumburg, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Kler, Pablo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; ArgentinaFil: Berli, Claudio Luis Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaElsevier Science Sa2018-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/86242Schaumburg, Federico; Kler, Pablo Alejandro; Berli, Claudio Luis Alberto; Numerical prototyping of lateral flow biosensors; Elsevier Science Sa; Sensors and Actuators B: Chemical; 259; 4-2018; 1099-11070925-4005CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://linkinghub.elsevier.com/retrieve/pii/S0925400517323705info:eu-repo/semantics/altIdentifier/doi/10.1016/j.snb.2017.12.044info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:31:31Zoai:ri.conicet.gov.ar:11336/86242instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:31:31.795CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Numerical prototyping of lateral flow biosensors
title Numerical prototyping of lateral flow biosensors
spellingShingle Numerical prototyping of lateral flow biosensors
Schaumburg, Federico
Numerical prototype
Lateral flow biosensor
Lateral flow immunoassay
Paper-based microfluidics
title_short Numerical prototyping of lateral flow biosensors
title_full Numerical prototyping of lateral flow biosensors
title_fullStr Numerical prototyping of lateral flow biosensors
title_full_unstemmed Numerical prototyping of lateral flow biosensors
title_sort Numerical prototyping of lateral flow biosensors
dc.creator.none.fl_str_mv Schaumburg, Federico
Kler, Pablo Alejandro
Berli, Claudio Luis Alberto
author Schaumburg, Federico
author_facet Schaumburg, Federico
Kler, Pablo Alejandro
Berli, Claudio Luis Alberto
author_role author
author2 Kler, Pablo Alejandro
Berli, Claudio Luis Alberto
author2_role author
author
dc.subject.none.fl_str_mv Numerical prototype
Lateral flow biosensor
Lateral flow immunoassay
Paper-based microfluidics
topic Numerical prototype
Lateral flow biosensor
Lateral flow immunoassay
Paper-based microfluidics
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Lateral flow biosensors (LFB) have become a hot topic in the scientific literature in association with the rapid growing of paper-based microfluidics. Improving the existing LFB technology is a challenging task that demands large experimental efforts. Thus computer simulations are practical tools to assist the development of novel devices, since running virtual experiments considerably reduces costs and time in the path from design to real LFB prototypes. We present a computational tool for 3D numerical prototyping of LFB, which accounts for the fluid dynamics (including capillary-driven flow) in the heterogeneous porous materials, the transport of reactive components, and all the biochemical reactions involved. Mathematical modeling was carried out in the framework of continuum transport phenomena, and numerical calculations were implemented by using the finite element method. This numerical prototyping allows developers to explore arbitrary architectures, materials, and assay formats, which is demonstrated here by discussing different real-world examples. The advantages of the proposed numerical model are also discussed in relation to up-to-date reported methods.
Fil: Schaumburg, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Kler, Pablo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; Argentina
Fil: Berli, Claudio Luis Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
description Lateral flow biosensors (LFB) have become a hot topic in the scientific literature in association with the rapid growing of paper-based microfluidics. Improving the existing LFB technology is a challenging task that demands large experimental efforts. Thus computer simulations are practical tools to assist the development of novel devices, since running virtual experiments considerably reduces costs and time in the path from design to real LFB prototypes. We present a computational tool for 3D numerical prototyping of LFB, which accounts for the fluid dynamics (including capillary-driven flow) in the heterogeneous porous materials, the transport of reactive components, and all the biochemical reactions involved. Mathematical modeling was carried out in the framework of continuum transport phenomena, and numerical calculations were implemented by using the finite element method. This numerical prototyping allows developers to explore arbitrary architectures, materials, and assay formats, which is demonstrated here by discussing different real-world examples. The advantages of the proposed numerical model are also discussed in relation to up-to-date reported methods.
publishDate 2018
dc.date.none.fl_str_mv 2018-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/86242
Schaumburg, Federico; Kler, Pablo Alejandro; Berli, Claudio Luis Alberto; Numerical prototyping of lateral flow biosensors; Elsevier Science Sa; Sensors and Actuators B: Chemical; 259; 4-2018; 1099-1107
0925-4005
CONICET Digital
CONICET
url http://hdl.handle.net/11336/86242
identifier_str_mv Schaumburg, Federico; Kler, Pablo Alejandro; Berli, Claudio Luis Alberto; Numerical prototyping of lateral flow biosensors; Elsevier Science Sa; Sensors and Actuators B: Chemical; 259; 4-2018; 1099-1107
0925-4005
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://linkinghub.elsevier.com/retrieve/pii/S0925400517323705
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.snb.2017.12.044
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science Sa
publisher.none.fl_str_mv Elsevier Science Sa
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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