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53.3. SimuIated Results for Present Recombinant Yeast<br />

The batch culture model consists <strong>of</strong> 5 differential qations and 10 analyticai equations.<br />

These 15 equations must be solved simultaneously in order to evaluate the fermentation<br />

variables, which are glucose concentration (G), total cell concentration (X), plasmid-<br />

bearing ceii concentration (X'), ethanol concentration (E), recombinant <strong>protein</strong><br />

concentration (P) and the fraction <strong>of</strong> plasmid-bearing œiis (F). The differential equations<br />

were solved numericaily using a fourth order Rnnge-Kutta algorithm whiîe Newton's<br />

method was used for solving the anaiyticai eqnations. The step size taken was 0.2 hour.<br />

Solution <strong>of</strong> the model equations was pmgrammed in C code and was mn in a Turbo Ccç<br />

environment (Borland hc.). A phtom <strong>of</strong> the source code is presented in AppendUt F.<br />

Graphical representation <strong>of</strong> the mode1 output and experirnental data were canied out with<br />

Excel s<strong>of</strong>tware. A cornparison beniveen the model-simulated and experimental results for<br />

the present ncornbhant yeast (C46apGAC9) culture in airiin <strong>bioreactor</strong> is presented in<br />

Figure 5.2.<br />

Figure 5.2 shows exceRent agreement between mode1 predictions and experimental<br />

mulu for glucose, ceii mas, ethanol glumamylase (recombinant <strong>protein</strong>) and fiaction <strong>of</strong><br />

plasmid-bearing cek during batch fermentation <strong>of</strong> recombinant S. cerevisioe soain<br />

C468lpGAC9. Using the modifieci Monod equation, the mode1 successfuny predicted<br />

diauxic growth, glucose consumption, ethanol <strong>production</strong> and ethanol utilharion after<br />

glucose exhausrion. With the assumption that the formation <strong>of</strong> recombinant <strong>protein</strong> is only

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