School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
Department of Chemical Engineering, COMSATS Institute of Information Technology (CIIT), Lahore, Pakistan.
Bioresour Technol. 2017 Sep;239:387-393. doi: 10.1016/j.biortech.2017.05.023. Epub 2017 May 6.
A mathematical model of microbial kinetics was introduced to predict the overall volumetric gas-liquid mass transfer coefficient (ka) of carbon monoxide (CO) in a batch cultivation system. The cell concentration (X), acetate concentration (C), headspace gas (N and [Formula: see text] ), dissolved CO concentration in the fermentation medium (C), and mass transfer rate (R) were simulated using a variety of ka values. The simulated results showed excellent agreement with the experimental data for a ka of 13/hr. The C values decreased with increase in cultivation times, whereas the maximum mass transfer rate was achieved at the mid-log phase due to vigorous microbial CO consumption rate higher than R. The model suggested in this study may be applied to a variety of microbial systems involving gaseous substrates.
引入了微生物动力学的数学模型,以预测分批培养系统中一氧化碳(CO)的总体容积气-液传质系数(ka)。使用多种 ka 值模拟了细胞浓度(X)、乙酸盐浓度(C)、气相(N 和 [Formula: see text])、发酵培养基中溶解的 CO 浓度(C)和传质速率(R)。模拟结果与 ka 值为 13/hr 时的实验数据吻合良好。随着培养时间的增加,C 值降低,而由于微生物 CO 消耗速率高于 R,最大传质速率在对数中期达到。本研究中提出的模型可应用于涉及气态底物的各种微生物系统。