Finite element-based feasibility study on utilizing heat flux sensors for early detection of vascular graft infections.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
27 09 2023
27 09 2023
Historique:
received:
29
12
2022
accepted:
06
09
2023
medline:
29
9
2023
pubmed:
28
9
2023
entrez:
27
9
2023
Statut:
epublish
Résumé
Aortic vascular graft infections have high morbidity and mortality rate, however, patients often do not show symptoms. Continuous implant surface monitoring will allow for early detection of infections on implant surfaces, which allows for antibiotic treatment prior to biofilm formation. We explore the possibility of using heat flux sensors mounted on an aortic vascular graft to sense the localized heat production at the onset of infectious growth. We apply Finite Element Model simulations to demonstrate changes of the heat transfer coefficient depending on different pulsatile flow parameters. We determine various differences, the main influence being the distance travelled from the inlet of the simulation with the highest heat transfer coefficient closest to the inlet and decreasing along the direction of travel of the fluid. The determined range of heat transfer coefficients of 200 to 4800 W/m
Identifiants
pubmed: 37758769
doi: 10.1038/s41598-023-42259-y
pii: 10.1038/s41598-023-42259-y
pmc: PMC10533875
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
16198Informations de copyright
© 2023. Springer Nature Limited.
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