Blanco Carlos A, Rayo Julia, Giralda José M
Universidad de Valladolid, Dpto. Ingeniería Agrícola y Forestal (Area de Tecnología de los Alimentos) E.T.S. Ingeniarías Agrarias, Avda, Madrid 44, 34004 Palencia, Spain.
J AOAC Int. 2008 May-Jun;91(3):607-13.
This work analyzes the control of optimum dissolved oxygen of an industrial fed-batch procedure in which baker's yeast (Saccharomyces cerevisiae) is grown under aerobic conditions. Sugar oxidative metabolism was controlled by monitoring aeration, molasses flows, and yeast concentration in the propagator along the later stage of the propagation, and keeping pH and temperature under controlled conditions. A large number of fed-batch growth experiments were performed in the tank for a period of 16 h, for each of the 3 manufactured commercial products. For optimization and control of cultivations, the growth and metabolite formation were quantified through measurement of specific growth and ethanol concentration. Data were adjusted to a model of multiple lineal regression, and correlations representing dissolved oxygen as a function of aeration, molasses, yeast concentration in the broth, temperature, and pH were obtained. The actual influence of each variable was consistent with the mathematical model, further justified by significant levels of each variable, and optimum aeration profile during the yeast propagation.
本研究分析了工业补料分批培养过程中最佳溶解氧的控制,该过程中面包酵母(酿酒酵母)在有氧条件下生长。通过监测通气、糖蜜流量以及繁殖后期繁殖器中的酵母浓度,并将pH值和温度保持在可控条件下,来控制糖的氧化代谢。针对3种商业化生产的产品,在发酵罐中进行了大量为期16小时的补料分批生长实验。为了优化和控制培养过程,通过测量比生长速率和乙醇浓度来量化生长和代谢产物的形成。将数据拟合到多元线性回归模型中,得到了表示溶解氧与通气、糖蜜、发酵液中酵母浓度、温度和pH值之间函数关系的相关性。每个变量的实际影响与数学模型一致,各变量的显著水平进一步证明了这一点,同时也得到了酵母繁殖过程中的最佳通气曲线。