Mathematical modeling and numerical simulation of surfactant delivery within a physical model of the neonatal trachea for different aerosol characteristics

Surfactant aerosol delivery in conjunction with a noninvasive respiratory support holds the potential to treat neonatal respiratory distress syndrome in a safe manner. The objective of the present study was to gain knowledge in order to optimize the geometry of an intracorporeal inhalation catheter...

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Autores: Goikoetxea-Miranda, E. (Estibalitz)|||/items/830d536f-178a-4369-ab78-95e2565327fa, Rivas-Nieto, A. (Alejandro)|||/items/54d35156-a5a0-4e67-8fe9-262d41670f71, Murgia-Esteve, X.(Xabier)|||/items/a7b1dc5e-17c6-4a09-aa59-b9b8ff42d0dd, Antón-Remírez, R. (Raúl)|||/items/d7aebae0-a4c3-40be-8584-d0d488c036f9
Formato: artículo
Fecha de publicación:2017
País:España
Recursos:Universidad de Navarra
Repositorio:Dadun. Depósito Académico Digital de la Universidad de Navarra
Idioma:inglés
OAI Identifier:oai:dadun.unav.edu:10171/68790
Acesso em linha:https://hdl.handle.net/10171/68790
Access Level:acceso abierto
Palavra-chave:Respiratory-distsress-syndrome.
In-silico models.
Preterm infants.
Open label.
Deposition.
Ventilation.
Inhalation.
Therapy.
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spelling Mathematical modeling and numerical simulation of surfactant delivery within a physical model of the neonatal trachea for different aerosol characteristicsGoikoetxea-Miranda, E. (Estibalitz)|||/items/830d536f-178a-4369-ab78-95e2565327faRivas-Nieto, A. (Alejandro)|||/items/54d35156-a5a0-4e67-8fe9-262d41670f71Murgia-Esteve, X.(Xabier)|||/items/a7b1dc5e-17c6-4a09-aa59-b9b8ff42d0ddAntón-Remírez, R. (Raúl)|||/items/d7aebae0-a4c3-40be-8584-d0d488c036f9Respiratory-distsress-syndrome.In-silico models.Preterm infants.Open label.Deposition.Ventilation.Inhalation.Therapy.Surfactant aerosol delivery in conjunction with a noninvasive respiratory support holds the potential to treat neonatal respiratory distress syndrome in a safe manner. The objective of the present study was to gain knowledge in order to optimize the geometry of an intracorporeal inhalation catheter and improve surfactant aerosol delivery effectiveness in neonates. Initially, a mathematical model capable of predicting the aerosol flow generated by this inhalation catheter within a physical model of the neonatal trachea was implemented and validated. Subsequently, a numerical study was performed to analyze the effect of the aerosol liquid droplet size and mass flow rate on surfactant delivery and on the required aerosolization time period. Experimental validation of the mathematical model showed a close prediction of the air axial velocity at the distal end of the physical model, with an absolute error between 0.01 and 0.15 m/s. Furthermore, an admissible absolute error between 0.2 and 2 mm was attained in the prediction of the aerosol mean aerodynamic diameter and mass median aerodynamic diameter in this region. The numerical study highlighted the beneficial effects of generating an intracorporeal aerosol with a mass median aerodynamic diameter higher than 4 mm and a surfactant mass flow rate above 8.93 mg/s in order to obtain effective surfactant delivery in neonates with minimal airway manipulation.Taylor & FrancisDadun. Depósito Académico Digital Universidad de Navarra20242024-02-0520172017-03-0120172017-03-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10171/68790reponame:Dadun. Depósito Académico Digital de la Universidad de Navarrainstname:Universidad de NavarraInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:dadun.unav.edu:10171/687902026-06-21T12:47:57Z
dc.title.none.fl_str_mv Mathematical modeling and numerical simulation of surfactant delivery within a physical model of the neonatal trachea for different aerosol characteristics
title Mathematical modeling and numerical simulation of surfactant delivery within a physical model of the neonatal trachea for different aerosol characteristics
spellingShingle Mathematical modeling and numerical simulation of surfactant delivery within a physical model of the neonatal trachea for different aerosol characteristics
Goikoetxea-Miranda, E. (Estibalitz)|||/items/830d536f-178a-4369-ab78-95e2565327fa
Respiratory-distsress-syndrome.
In-silico models.
Preterm infants.
Open label.
Deposition.
Ventilation.
Inhalation.
Therapy.
title_short Mathematical modeling and numerical simulation of surfactant delivery within a physical model of the neonatal trachea for different aerosol characteristics
title_full Mathematical modeling and numerical simulation of surfactant delivery within a physical model of the neonatal trachea for different aerosol characteristics
title_fullStr Mathematical modeling and numerical simulation of surfactant delivery within a physical model of the neonatal trachea for different aerosol characteristics
title_full_unstemmed Mathematical modeling and numerical simulation of surfactant delivery within a physical model of the neonatal trachea for different aerosol characteristics
title_sort Mathematical modeling and numerical simulation of surfactant delivery within a physical model of the neonatal trachea for different aerosol characteristics
dc.creator.none.fl_str_mv Goikoetxea-Miranda, E. (Estibalitz)|||/items/830d536f-178a-4369-ab78-95e2565327fa
Rivas-Nieto, A. (Alejandro)|||/items/54d35156-a5a0-4e67-8fe9-262d41670f71
Murgia-Esteve, X.(Xabier)|||/items/a7b1dc5e-17c6-4a09-aa59-b9b8ff42d0dd
Antón-Remírez, R. (Raúl)|||/items/d7aebae0-a4c3-40be-8584-d0d488c036f9
author Goikoetxea-Miranda, E. (Estibalitz)|||/items/830d536f-178a-4369-ab78-95e2565327fa
author_facet Goikoetxea-Miranda, E. (Estibalitz)|||/items/830d536f-178a-4369-ab78-95e2565327fa
Rivas-Nieto, A. (Alejandro)|||/items/54d35156-a5a0-4e67-8fe9-262d41670f71
Murgia-Esteve, X.(Xabier)|||/items/a7b1dc5e-17c6-4a09-aa59-b9b8ff42d0dd
Antón-Remírez, R. (Raúl)|||/items/d7aebae0-a4c3-40be-8584-d0d488c036f9
author_role author
author2 Rivas-Nieto, A. (Alejandro)|||/items/54d35156-a5a0-4e67-8fe9-262d41670f71
Murgia-Esteve, X.(Xabier)|||/items/a7b1dc5e-17c6-4a09-aa59-b9b8ff42d0dd
Antón-Remírez, R. (Raúl)|||/items/d7aebae0-a4c3-40be-8584-d0d488c036f9
author2_role author
author
author
dc.contributor.none.fl_str_mv Dadun. Depósito Académico Digital Universidad de Navarra
dc.subject.none.fl_str_mv Respiratory-distsress-syndrome.
In-silico models.
Preterm infants.
Open label.
Deposition.
Ventilation.
Inhalation.
Therapy.
topic Respiratory-distsress-syndrome.
In-silico models.
Preterm infants.
Open label.
Deposition.
Ventilation.
Inhalation.
Therapy.
description Surfactant aerosol delivery in conjunction with a noninvasive respiratory support holds the potential to treat neonatal respiratory distress syndrome in a safe manner. The objective of the present study was to gain knowledge in order to optimize the geometry of an intracorporeal inhalation catheter and improve surfactant aerosol delivery effectiveness in neonates. Initially, a mathematical model capable of predicting the aerosol flow generated by this inhalation catheter within a physical model of the neonatal trachea was implemented and validated. Subsequently, a numerical study was performed to analyze the effect of the aerosol liquid droplet size and mass flow rate on surfactant delivery and on the required aerosolization time period. Experimental validation of the mathematical model showed a close prediction of the air axial velocity at the distal end of the physical model, with an absolute error between 0.01 and 0.15 m/s. Furthermore, an admissible absolute error between 0.2 and 2 mm was attained in the prediction of the aerosol mean aerodynamic diameter and mass median aerodynamic diameter in this region. The numerical study highlighted the beneficial effects of generating an intracorporeal aerosol with a mass median aerodynamic diameter higher than 4 mm and a surfactant mass flow rate above 8.93 mg/s in order to obtain effective surfactant delivery in neonates with minimal airway manipulation.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-03-01
2017
2017-03-01
2024
2024-02-05
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10171/68790
url https://hdl.handle.net/10171/68790
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:Dadun. Depósito Académico Digital de la Universidad de Navarra
instname:Universidad de Navarra
instname_str Universidad de Navarra
reponame_str Dadun. Depósito Académico Digital de la Universidad de Navarra
collection Dadun. Depósito Académico Digital de la Universidad de Navarra
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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