A computational model of a cell-based microphysiometer is presented in this paper. The microphysiometer is a fluid based device that uses electrochemical sensors to measure the concentration of metabolites in the fluid medium around living cells. A computational code has been used to model the convective-diffusive transport in this system. This work focuses on modeling an oxygen electrochemical sensor. An ideal sensor model is used to study the effects of initial concentration and cell uptake rate on the sensor signal. In particular, the relative influence of the oxygen consumption by the sensor and the cells is examined. Removing the effect of the sensor allows isolation of cell behavior for various cell uptake rates and ranges of initial concentration. A preliminary comparison of computational results with experimental data is presented. The computational model provides very useful predictions of trends.

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