Department of Chemical Engineering, Islamic Azad University, Qaemshahr Branch, Qaemshahr, Iran.
Department of Chemical Engineering, Islamic Azad University, Qaemshahr Branch, Qaemshahr, Iran.
Bioresour Technol. 2016 Jul;212:62-71. doi: 10.1016/j.biortech.2016.04.022. Epub 2016 Apr 7.
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(-1) and Saccharomyces cerevisiae microorganism was designed and fabricated. At dilution rate of 0.14h(-1), maximum specific cell growth rate and productivity of 0.27h(-1) and 6.49gL(-1)h(-1) 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.
本文利用遗传算法研究了乙醇在连续常规生物反应器（CCBR）和乙醇渗透选择性聚二甲基硅氧烷（PDMS）膜连续膜生物反应器（CMBR）中的数学模型。设计并制造了一个以中浓度葡萄糖 100gL(-1) 和酿酒酵母微生物为原料的实验室规模的 CMBR。在稀释率为 0.14h(-1)时，CMBR 中最大的比细胞生长速率和产物生成速率分别为 0.27h(-1)和 6.49gL(-1)h(-1)。然而，在非常高的稀释率下，由于孵育时间不足，CMBR 的性能与传统发酵相当相似。在这两种系统中，根据莫诺德（Monod）和莫泽（Moser）动力学模型，在非稳态条件下，基于每个保留时间对细胞生长、乙醇生产和葡萄糖浓度进行了遗传算法建模。结果表明，与莫诺德（Monod）模型相比，莫泽（Moser）动力学模型更令人满意和理想。
