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Optimal metabolite transport in hollow fibre membrane bioreactors

Published online by Cambridge University Press:  15 October 2024

George Booth
Affiliation:
Mathematical Institute, University of Oxford, Oxford OX2 6GG, UK Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London W2 1PG, UK
Mohit P. Dalwadi
Affiliation:
Mathematical Institute, University of Oxford, Oxford OX2 6GG, UK Department of Mathematics, University College London, London WC1H 0AY, UK
Hua Ye
Affiliation:
Department of Engineering Science, University of Oxford, Oxford OX3 7DQ, UK
Pierre-Alexis Mouthuy
Affiliation:
Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK
Sarah L. Waters*
Affiliation:
Mathematical Institute, University of Oxford, Oxford OX2 6GG, UK
*
*Corresponding author. E-mail: waters@maths.ox.ac.uk

Abstract

Hollow fibre membrane bioreactors provide a fast and efficient method for engineering functional tissue for use in medical treatments. Flow is utilised to overcome mass transport limitations by perfusing a nutrient-rich culture medium through the fibre lumen, which can then transport along the fibre lumen or across the porous membrane wall. Cells seeded at the outer membrane wall consume the nutrient and subsequently produce waste metabolites, which are transported away through an external extra-capillary space (ECS) along with excess nutrient. We present and investigate a two-dimensional axisymmetric model for fluid flow and solute transport through a single-fibre bioreactor configuration, with cells seeded to the external fibre wall. Fluid flow is modelled by steady lubrication and Darcy equations, which are coupled to the solute transport problem modelled by a system of advection–diffusion equations, supplemented with a reaction term to model the cell layer. Our model analysis reveals how spatially varying wall permeability distributions can be utilised to provide uniform nutrient delivery to a spatially uniform, homogeneous cell population. We also reveal how maximising the transmural pressure drop across the membrane wall is the dominant mechanism for waste removal rather than traditional experimental methods of flushing the ECS.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press
Figure 0

Figure 1. Schematic of HFMB adapted from Burova, Wall & Shipley (2019). The nutrient-rich medium enters the lumen inlets, which can transport along the lumen or across the porous membrane walls (grey) to cells seeded externally (pink). An external flow of culture medium (blue) in the extra-capillary space washes away excess nutrient alongside any waste metabolites produced by the cells.

Figure 1

Figure 2. Axial (a) and radial (b) cross-section of the bioreactor set-up. The fibre lumen ($l$) is enclosed by a porous fibre membrane wall ($m$) denoted by the grey region, with a cell layer ($c$) seeded to its outer surface represented by the pink region. The ECS ($e$) surrounds this, enclosed by an outer wall. Nutrient is introduced through the lumen inlet as indicated by the direction of the blue lines, denoting the different pathways available.

Figure 2

Table 1. Typical model parameters.

Figure 3

Figure 3. Transformation from an axisymmetric coordinate system ($r,z$) on the left, to a streamfunction–arclength coordinate system ($\psi,s$) on the right. Purple lines denote equally spaced streamlines of constant $\psi$, with $\psi =0$ corresponding to the streamline along the symmetry line $r = 0$. Orange lines denote contours of constant arclength $s$ along streamlines, and black solid lines denote the boundary between each physical domain, where the lumen corresponds to $r \in (0, 1)$, $s \in (0,1)$, the membrane corresponds to $r \in (1,2)$, $s \in (1,2)$ and the ECS corresponds to $r \in (2,5)$, $s \in (2,3)$. Dotted black lines denote the critical streamlines $\psi _{i,crit}$ defined in Appendix C which divide where fluid enters or leaves. Note that $\psi _{l,crit}=\psi _{e,min}$ and $\psi _{l,max}=\psi _{e,crit}$. Appropriate boundary conditions are annotated by their corresponding equation number.

Figure 4

Figure 4. Canonical flow set-up considered in our model analysis. Slow, viscous, Newtonian, pressure-driven lubrication flow is prescribed in the lumen and ECS, coupled to Darcy flow across the membrane wall. Flow enters the lumen and ECS inlets at $z=0$ with fluid pressures $P_{l,in}, P_{e,in}$, respectively. Flow exits the lumen and ECS at $z=1$ with fluid pressures $P_{l,out}, P_{e,out},$ respectively.

Figure 5

Figure 5. Nutrient concentration profiles across a cross-section of the bioreactor set-up. (a) Nutrient concentration profile under typical experimental conditions as outlined in table 1. Black lines denote the interfaces between the lumen ($r \in (0,1)$), the membrane ($r \in (1,2)$) and the ECS ($r \in (2,5)$). Fresh nutrient enters through the lumen inlet at $z=0$ and transports either along the length of the lumen or across the membrane wall to be consumed by cells seeded on the outer membrane surface at $r = 2$. Excess nutrient is washed away by flow in the ECS. Solid white lines denote streamlines beginning at the lumen inlet and (b) nutrient concentration profile at the outer membrane wall under varying axial pressure drops holding $P_{l,in}, P_{l,out}, P_{e,in}$ constant. Axial heterogeneity in nutrient concentration increases as axial variations in the transmural pressure drop increase. In particular, at a given axial position, the nutrient concentration delivered to the cells seeded at the outer membrane wall decreases when the transmural pressure drop decreases.

Figure 6

Figure 6. Comparing the nutrient concentration delivered to the outer membrane wall with a homogeneous vs a heterogeneous membrane permeability under varying structural and operating conditions. (a) Varying permeability, $\kappa$ (left), lumen inlet pressure, $P_{l,in}$ (middle), and ECS inlet pressure $P_{e,in}$ (right). Coloured lines denote the concentration profile at $R_{m0}$ with a homogeneous membrane permeability, and the black dotted line is the concentration profile with a heterogeneous membrane permeability. Note that the membrane concentration with a heterogeneous permeability is invariant to changes in the selected parameters and (b) Comparing the average nutrient concentration at the outer membrane wall, $\bar {c}|_{R_{m0}}$ with a homogeneous vs ideal heterogeneous permeability under varying membrane thicknesses $R_{m0}$ and reduced Péclet numbers $\varepsilon ^2\mathcal {P}_l$. The solid white lines denote contours of constant nutrient concentration. The average concentration of nutrient delivered to cells at the outer membrane wall is greater in the heterogeneous membrane at each corresponding membrane thickness and reduced Péclet number.

Figure 7

Figure 7. Waste metabolite concentration at the outer membrane wall under varying lumen inlet pressure (a), ECS inlet pressure (b) and membrane wall thickness (c). The red line denotes the average concentration with a homogeneous permeability given in table 1 with the shaded red region denoting the maximum and minimum concentrations. This shaded region is very thin in the right-most panel. The blue line denotes the concentration under the heterogeneous permeability distribution.

Figure 8

Figure 8. Cell layer with thickness $\delta$. The central dotted line denotes the centreline along which we define $N=0$, and the external dotted lines above and below denote the asymptotic extent of the inner region in the outside membrane and ECS regions which we scale into.