초록
<P><B>Abstract</B></P> <P>In this paper, genetic algorithm was used to investigate mathematical modeling of ethanol fermentation in a continuous conventional bioreactor (CCBR) and a continuous membrane bioreactor (CMBR) by ethanol permselective polydimethylsiloxane (PDMS) membrane. A lab scale CMBR with medium glucose concentration of 100gL<SUP>−1</SUP> and <I>Saccharomyces cerevisiae</I> microorganism was designed and fabricated. At dilution rate of 0.14h<SUP>−1</SUP>, maximum specific cell growth rate and productivity of 0.27h<SUP>−1</SUP> and 6.49gL<SUP>−1</SUP> h<SUP>−1</SUP> were respectively found in CMBR. However, at very high dilution rate, the performance of CMBR was quite similar to conventional fermentation on account of insufficient incubation time. In both systems, genetic algorithm modeling of cell growth, ethanol production and glucose concentration were conducted based on Monod and Moser kinetic models during each retention time at unsteady condition. The results showed that Moser kinetic model was more satisfactory and desirable than Monod model.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Genetic algorithm was used for modeling of CMBR and CCBR performances. </LI> <LI> Mathematical modeling was based on Monod and Moser kinetic models. </LI> <LI> Modeling was performed at the unsteady state condition at different retention times. </LI> <LI> The model described the cell growth, substrate concentration and ethanol production. </LI> <LI> The Moser kinetic model results showed good agreement with experimental data. </LI> </UL> </P>