Numerical modeling of ferrous-ion oxidation rate in Acidithiobacillus ferrooxidans ATCC 23270: optimization of culture conditions through statistically designed experiments.

Acta microbiologica Polonica Pub Date : 2002-01-01
Yasser R Abdel-Fattah, Wael R Abdel-Fattah, Rogelio Zamilpa, James R Pierce
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Abstract

Statistically designed experimental strategy has been performed in order to evaluate and optimize nutritional and environmental parameters that affect ferrous ion oxidation rate in Acidithiobacillus ferrooxidans ATCC 23270. Plackett-Burman design was carried out to evaluate efficiently the biological significance of 10 culture conditions influencing ferrous-ion oxidation rate of A. ferrooxidans grown for 5 days in shake-flask batch mode on the newly modified 9-K media. Among ten fermentation factors examined, the most significant variables influencing ferrous-ion oxidation rate were statistically elucidated to be pH and calcium nitrate as positive contributors, whereas trace metals solution and potassium chloride were the most significant negative contributors. The optimal levels of the most significant three nutritional factors were further predicted from a polynomial model created from the data obtained from three level factorial design, a Box-Behnken design. Predicted optimal ferrous-ion oxidation rate Q(Fe2+) was recorded to be 0.148 (g Fe2+/l/hr). On verifying the predicted value, an experiment was performed under optimal predicted conditions and showed an actual experimental Q(Fe2+) of 0.152 g/l/hr, which was 2.7% over the predicted value. Our optimized medium formula gave overall five folds increase in ferrous-ion oxidation rates over the previously published data of standard 9-K medium on batch culture of A. ferrooxidans ATCC 23270 with higher mu(max) (hr(-1)) of 0.177 which was achieved within 75 h incubation in shake-flask culture.

酸性氧化亚铁硫杆菌ATCC 23270中铁离子氧化速率的数值模拟:通过统计设计实验优化培养条件。
为了评估和优化影响酸性氧化亚铁硫杆菌ATCC 23270中亚铁离子氧化速率的营养和环境参数,采用统计学设计的实验策略。采用Plackett-Burman设计,高效评价10种培养条件对A. ferrooxidans在新改良的9-K培养基上摇瓶分批培养5 d的铁离子氧化速率的生物学意义。在10个发酵因子中,pH值和硝酸钙是影响铁离子氧化速率最显著的正因子,而微量金属溶液和氯化钾是影响铁离子氧化速率最显著的负因子。根据三水平析因设计(Box-Behnken设计)数据建立的多项式模型进一步预测最显著的三种营养因子的最佳水平。预测最佳铁离子氧化速率Q(Fe2+)为0.148 (g Fe2+/l/hr)。在对预测值进行验证的基础上,在最优预测条件下进行了实验,实验结果表明,实际实验Q(Fe2+)为0.152 g/l/hr,比预测值高2.7%。我们优化的培养基配方在A. ferrooxidans ATCC 23270批量培养的标准9-K培养基上,铁离子氧化速率总体上提高了5倍,在摇瓶培养75 h内达到了更高的mu(max) (hr(-1)) 0.177。
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