一株优选酿酒酵母增殖培养条件优化及发酵动力学模型的构建
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(1.新疆天润生物科技股份有限公司, 新疆 乌鲁木齐 830088;2.大连工业大学 食品学院, 辽宁 大连 116034)

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蒋艾廷,男,硕士,主要从事乳品微生物方面的研究; *李新玲,女,高级工程师,主要从事乳品方面的研究,通信作者; *牟光庆,男,教授,博士,主要从事乳品方面的研究,通信作者。

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国家自然科学基金面上项目(31671828)


Optimizing on Proliferation Conditions of Preferred Saccharomyces cerevisiae and Construction of Fermentation Kinetics Model
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(1.Xinjiang Tianrun Biotechnology Co Ltd, Urumqi 830088, China;2.School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China)

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    摘要:

    为实现酿酒酵母(Saccharomyces cerevisiae)的高密度发酵及在奶啤生产中的应用,对一株来源于新疆传统发酵驼乳中的酿酒酵母TR2生长所需的增殖因子与培养条件进行研究,并建立该菌株的发酵动力学模型。采用单因素实验对培养基中的碳源、氮源以及无机盐的种类与浓度进行筛选,通过响应面试验与正交试验的方法分别优化该菌的培养基成分和发酵条件,采用Matlab软件对该菌株菌体生长和葡萄糖消耗动力学模型分别进行非线性拟合。结果表明,优化培养基配方为葡萄糖53.4g/L、蛋白胨21.5g/L、酵母膏10g/L、磷酸二氢钾2.98g/L,在初始pH值为5.0、摇床转速150r/min、接种量体积分数5%、装液量60mL的条件下28℃发酵16h,细胞数量可达到6.64×108CFU/mL,其菌体生长和葡萄糖消耗动力学模型的预测值与实验值能较好地拟合,拟合度分别为0.9973和0.9784,表明所建模型能较好反映该菌的分批发酵过程。

    Abstract:

    This study assessed the proliferation factors and culture conditions for the growth of a Saccharomyces cerevisiae TR2 isolated from Xinjiang traditional fermented camel milk and established its kinetic model, which could reflect the high density fermentation and the application of Saccharomyces cerevisiae in milk beer production. The carbon source, nitrogen source, inorganic salts, species and concentrations of the growth factors in culture medium were screened by the single factor test. Meanwhile, the compositions of culture medium and fermentation conditions of Saccharomyces cerevisiae were optimized by response surface and orthogonal methods. Moreover, the strain growth and the kinetic model of glucose consumption were fitted nonlinearity by Matlab software. The results showed that the optimal medium was glucose 53.4g/L, peptone 21.5g/L, yeast extract 10g/L, and KH2PO4 2.98g/L. Under the fermentation conditions of initial pH 5, shaking speed at 150r/min, inoculum concentration 5%, liquid volume 60mL, incubation time 16h and incubation temperature 28℃, the cell number reached to 6.64×108CFU/mL. The predictive value of the kinetic model for the fermentation process was well fitted to the experimental value, and the fitting degrees were 0.9973 and 0.9784. It concluded that the model could reflect the fermentation process of the strain in batches.

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蒋艾廷,李新玲,姜淑娟,妥彦峰,钱方,马凤莲,韩京津,牟光庆.一株优选酿酒酵母增殖培养条件优化及发酵动力学模型的构建[J].食品科学技术学报,2018,36(1):45-52.

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  • 收稿日期:2018-01-02
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  • 在线发布日期: 2018-01-30
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