Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Modelling human liver microphysiology on a chip through a finite element based design approach

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Abstract

Organ‐on‐a‐chip (OoaC) are microfluidic devices capable of growing living tissue and replicate the intricate microenvironments of human organs in vitro, being heralded as having the potential to revolutionize biological research and healthcare by providing unprecedented control over fluid flow, relevant tissue to volume ratio, compatibility with high‐resolution content screening and a reduced footprint. Finite element modelling is proven to be an efficient approach to simulate the microenvironments of OoaC devices, and may be used to study the existing correlations between geometry and hydrodynamics, towards developing devices of greater accuracy. The present work aims to refine a steady‐state gradient generator for the development of a more relevant human liver model. For this purpose, the finite element method was used to simulate the device and predict which design settings, expressed by individual parameters, would better replicate in vitro the oxygen gradients found in vivo within the human liver acinus. To verify the model's predictive capabilities, two distinct examples were replicated from literature. Finite element analysis enabled obtaining an ideal solution, designated as liver gradient‐on‐a‐chip, characterised by a novel way to control gradient generation, from which it was possible to determine concentration values ranging between3%and12%, thus providing a precise correlation with in vivo oxygen zonation, comprised between 3%–5% and 10%–12% within respectively the perivenous and periportal zones of the human liver acinus. Shear stress was also determined to average the value of0.037Pa, and therefore meet the interval determined from literature to enhance liver tissue culture, comprised between0.01 − 0.05Pa.
OriginalspracheEnglisch
Aufsatznummere3445
FachzeitschriftInternational Journal for Numerical Methods in Biomedical Engineering
Jahrgang37
Ausgabenummer5
DOIs
PublikationsstatusVeröffentlicht - 5 Mai 2021
Extern publiziertJa

UN-Ziele für nachhaltige Entwicklung (SDGs)

2015 einigten sich die UN-Mitgliedstaaten auf 17 globale Ziele für nachhaltige Entwicklung (Sustainable Development Goals, SDGs) zur Beendigung von Armut, zum Schutz des Planeten und zur Förderung des allgemeinen Wohlstands. Hiermit leisten wir einen Beitrag zu folgendem/n Ziel(en) für nachhaltige Entwicklung (SDGs):

  1. SDG 3 - Gute Gesundheit und Wohlergehen
    SDG 3 Gute Gesundheit und Wohlergehen

ASJC Scopus Sachgebiete

  • Software
  • Biomedizintechnik
  • Modellierung und Simulation
  • Molekularbiologie
  • Theoretische Informatik und Mathematik
  • Angewandte Mathematik

Dieses zitieren