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Multi-scale modeling of geometric flow control in lateral flow assays

Jamshidi, Farshid ORCID iD icon 1
1 Institut für Angewandte Materialien – Mikrostruktur-Modellierung und Simulation (IAM-MMS), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Lateral flow assays (LFAs), such as pregnancy tests, are gaining significant interest due to their cost-effectiveness and suitability for resource-limited settings. However, challenges exist in fully understanding the underlying phenomena governing LFA performance, particularly in enhancing test sensitivity. Conventional approaches rely primarily on macro-scale experiments, which can be limited in capturing key mechanisms that occur at different length scales. In contrast, this dissertation addresses these limitations by employing multi-scale investigations that encompass both micro and macro-scale phenomena to comprehensively understand the governing processes in LFAs.

At the micro-scale, various parameters affecting wetting in porous polymeric membranes are investigated. These parameters include porosity, mean and effective pore radius, mean ligament radius, permeability, and tortuosity. To evaluate these parameters, the reconstructed digital twins of real porous membranes in equidistant three-dimensional grids are analyzed.

At the macro-scale, three complementary approaches are adopted: i) Experimental investigation: The gravimetric method is utilized to determine the porosity of the membrane, and the macro-scale wetting experiments are conducted to measure the wetting time and then calculate the wetting velocity. ... mehr

Zugehörige Institution(en) am KIT Institut für Angewandte Materialien – Mikrostruktur-Modellierung und Simulation (IAM-MMS)
Publikationstyp Hochschulschrift
Publikationsdatum 27.01.2025
Sprache Englisch
Identifikator KITopen-ID: 1000178409
Verlag Karlsruher Institut für Technologie (KIT)
Umfang x, 198 S.
Art der Arbeit Dissertation
Fakultät Fakultät für Maschinenbau (MACH)
Institut Institut für Angewandte Materialien – Mikrostruktur-Modellierung und Simulation (IAM-MMS)
Prüfungsdatum 10.01.2025
Referent/Betreuer Nestler, Britta
Niessner, Jennifer

Volltext §
DOI: 10.5445/IR/1000178409
Veröffentlicht am 27.01.2025
Seitenaufrufe: 70
seit 27.01.2025
Downloads: 24
seit 27.01.2025
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