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首页> 外文期刊>Applied Biochemistry and Biotechnology >Application of a Statistical Technique to Investigate Calcium, Sodium, and Magnesium Ion Effect in Yeast Fermentation
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Application of a Statistical Technique to Investigate Calcium, Sodium, and Magnesium Ion Effect in Yeast Fermentation

机译:统计技术在酵母发酵中研究钙,钠和镁离子作用的应用

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摘要

In this work, the dependence of the ethanol production using Saccharomyces cerevisiae 251TP(3-2) on calcium, sodium, and magnesium ion concentration and interaction effects were studied with the use of a statistical experimental design. The parameters of the ethanol concentration model proposed on the basis of Box–Wilson experimental design method were evaluated with the use of the experimental data. Comparison of the predicted values from the model with the experimentally observed values showed that the model is a good fit. From the analysis of model equation, it was seen that sodium ion concentration has significant main effects on ethanol production, and there is interactive effect only between calcium and magnesium. With the use of developed model, maximum ethanol concentration of 3.73% (v/v) was obtained when calcium, sodium, and magnesium concentration were 1,515, 930, and 128 mg/L, respectively, for the 10% sugar concentration in synthetic molasses.
机译:在这项工作中,使用统计实验设计研究了使用酿酒酵母251TP(3-2)产生的乙醇对钙,钠和镁离子浓度和相互作用的依赖性。利用实验数据评估了基于Box–Wilson实验设计方法提出的乙醇浓度模型的参数。将模型的预测值与实验观察到的值进行比较表明,该模型非常合适。从模型方程的分析中可以看出,钠离子浓度对乙醇的生产具有重要的主要影响,并且仅钙和镁之间存在相互作用。使用开发的模型,当糖蜜中糖的10%浓度为钙,钠和镁的浓度分别为1,515、930和128 mg / L时,最大乙醇浓度为3.73%(v / v)。 。

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