从浙江省台州市东海中筛选得到的一株对白色念珠菌有较好抑制作用的微生物,经16S rDNA鉴定为解淀粉芽孢杆菌(Bacillus amyloliquefaciens ZJU-2011).采用单因素优化方法在5L发酵罐进行分批发酵实验,得到了最佳发酵条件为:接种量为体积百分比10%,装液量为体积百分比60%,通气量500 L·h-1,转速500 r·min-1,温度28℃,发酵时间24 h.在此基础上,通过假设还原糖浓度是淀粉水解以及菌体生长和次级代谢物产生消耗的综合作用,根据培养基消耗、菌体生成量和抗真菌化合物产生与发酵时间的关系,采用Logistic方程和Luedeking-Piret方程建立底物消耗、菌体的生长和抗真菌化合物生成的动力学模型,并拟合了模型参数.结果表明,模型计算值与实验数据拟合度分别为0.978, 0.99和0.90.该模型能较好地预测芽孢杆菌分批发酵生产抗真菌抗生素的动力学过程.
A strain was screened from the Eastern Sea sludge, Zhejiang, China, which has good antagonistic effect in vitro on the human pathogenic fungi-Candida albicans ATCC 64548. The strain was identified as Bacillus amyloliquefaciens based on sequencing 16S rDNA gene and blasting the sequence in GenBank database. The batch fermentation process was studied in a 5 L fermentor. In order to increase antibiotic potency, single-factor methodology was applied to optimize culture conditions. The optimized culture conditions are as follows: temperature 28 ℃, rotation speed 500 r min-1, inoculation 10% (volume fraction), medium volume 3 L, and fermentation time 24 h. After that, a mathematical model was developed to describe the dynamic kinetics of the antibiotic production based on the Logistic equation for the cell growth and the Luedeking-Piret equation for the antifungal antibiotic production. The material balance for the reduced sugar was established by the combination of production from starch hydrolysis and depletion due to cell growth, antifungal antibiotic synthesis and cell maintenance. The fit degrees of the three individual models are 0.978, 0.99 and 0.90, respectively. The results indicate a good agreement between the experimental data and the model predictions.