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首页> 外文期刊>Journal of Zhejiang University. Science, B >Application of response surface methodology in medium optimization for pyruvic acid production of Torulopsis glabrata TP19 in batch fermentation
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Application of response surface methodology in medium optimization for pyruvic acid production of Torulopsis glabrata TP19 in batch fermentation

机译:响应面方法在批量发酵中对丙酮酸生产中丙酮酸生产的应用

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摘要

response surface methodology (RSM) was used to optimize the fermentation medium for enhancing pyruvic acid production by Torulopsis glabrata%29&ck%5B%5D=abstract&ck%5B%5D=keyword'>Torulopsis glabrata TP19. In the first step of optimization, with Plackett-Burman design, ammonium sulfate, glucose and nicotinic acid were found to be the important factors affecting pyruvic acid production significantly. In the second step, a 23 full factorial central composite design and RSM were applied to determine the optimal concentration of each significant variable. A second-order polynomial was determined by the multiple regression analysis of the experimental data. The optimum values for the critical components were obtained as follows: ammonium sulfate 0.7498 (10.75 g/L), glucose 0.9383 (109.38 g/L) and nicotinic acid 0.3633 (7.86 mg/L) with a predicted value of maximum pyruvic acid production of 42.2 g/L. Under the optimal conditions, the practical pyruvic acid production was 42.4 g/L. The determination coefficient (R2) was 0.9483, which ensures adequate credibility of the model. By scaling up fermentation from flask to jar fermentor, we obtained promising results.
机译:响应表面方法(RSM)用于优化发酵培养基,用于通过Torulopsis Glabrata%29和CK%5b%5d =摘录和CK%5b%5d =关键词'> Torulopsis glabrata TP19。在优化的第一步中,用Plackett-Burman设计,发现硫酸铵,葡萄糖和烟酸是显着影响丙酮酸产生的重要因素。在第二步中,应用了23个完整的中央复合设计和RSM以确定每个显着变量的最佳浓度。通过实验数据的多元回归分析确定二阶多项式。得到关键组分的最佳值如下:硫酸铵0.7498(10.75g / L),葡萄糖0.9383(109.38g / L)和烟酸0.3633(7.86mg / L),具有最大丙酮酸产生的预测值42.2克/升。在最佳条件下,实际丙酮酸产量为42.4克/升。确定系数(R2)为0.9483,确保模型的充分信誉。通过从烧瓶中缩放到罐发酵瓶中,我们获得了有希望的结果。

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