Glucose diffusivity in cell-seeded tissue engineering scaffolds

Abstract

6Objective A series of well-defined diffusion experiments was carried out to determine the effective 7 glucose diffusion coefficient in cell-seeded porous scaffolds to understand the importance of nutrient 8 diffusion in tissue engineering bioreactor. 9Results Cell growth changed the morphological structure of the scaffolds reducing the effective pore 10 space and inevitably decreased the effective glucose diffusivity in the chosen scaffolds, namely, collagen, 11 poly(L-lactide) and poly(caprolactone) scaffolds from 3.71 x 10 -9 m 2

On modelling of glucose transport in hollow fibre membrane bioreactor for growing three‐dimensional tissue

“…The governing non‐dimensional transport equations (Equations –) are solved within the commercial MATrix LABoratory (MATLAB) software using the pdepe function. Experimental results from our previous works 29–31 are employed in the present model to carry out the numerical procedure. The model is then used to observe the influences of changing the dimensionless groups of parameters on the glucose concentration profiles.…”

“…We have reported in our earlier work 31,32 a decrease in glucose diffusivity for cell‐free and cell‐seeded materials saturated with the culture medium. We have also reported glucose diffusivity in CCMs and compared them to those for water, which show that the glucose diffusivity in CCM is less than that of water at the same condition (e.g., temperature).…”

“…Under perfusive culture conditions, a glucose‐rich culture medium is delivered into the porous region of both the membrane and the scaffold from the lumen where cells are cultured and supported to form tissue‐like structures. The effective diffusivity values of glucose used in the present model and the diffusivity of glucose in CCM are taken from the experimental measurements previously reported by Suhaimi and Das 31 and Suhaimi et al 32,33 All simulations are done on the basis of the dimensions found in Tables 1 and 2. Table 2 summarizes the dimensionless parameters and their respective values based on the data presented in Table 1.…”

“…The advantage of this approach is that it provides a consistent framework to compare seemingly different circumstances, for example, glucose concentration due to differences in diffusivity in water and CCM. The diffusivity measurements are described in detail in our previous works 14,31–33 . In addition, the influences of changing dimensionless groups of parameters on the glucose concentration profiles to increase the scale of the HFMB are analysed.…”

Scale and structure dependent solute diffusivity within microporous tissue engineering scaffolds

“…The values reported in this study can be used to evaluate the influence of structural parameters on the diffusivity of other molecules within microporous scaffolds at different scales, even after adjustments for changes in temperature and cell culture media viscosity. It is critical to note that, in addition to the analysis presented, one may expect that the presence of cell-produced ECM, as well as consumption of nutrients by the cells, will result in a decrease in the overall transport depth [43,48]. Similarly, our analysis does not take into consideration electrostatic [49] or osmotic [50] effects within the scaffolds, which were found to impact fluid transport and so may also affect solute transport.…”