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Statistical evaluation of growth parameters in biofuel waste as a culture medium for improved production of single cell protein and amino acids by Yarrowia lipolytica.
AMB Express ( IF 3.7 ) Pub Date : 2020-02-18 , DOI: 10.1186/s13568-020-00968-x
Monika Elżbieta Jach 1 , Tomasz Baj 2 , Marek Juda 3 , Robert Świder 1 , Barbara Mickowska 4 , Anna Malm 3
Affiliation  

Yarrowia lipolytica is an oleaginous yeast species with the ability to grow on a number of substrates types, especially industrial wastes. This paper concerns the statistical optimization of fermentation parameters and media to ensure consistent and improved Y. lipolytica protein production. A strain of Y. lipolytica A-101 was observed to be proficient in producing single cell protein, amino acids, and vitamin B12 while utilizing biofuel waste instead of a complete YPD medium for yeast growth. A fractional fractal design experiment was then applied, and the two fermentation parameters of temperature and pH were recognized to have a significant effect on the protein and amino acid production. Subsequently, the response surface methodology with a three-level complete factorial design was employed to optimize these influential parameters. Therefore, five different measuring systems were utilized to construct a quadratic model and a second-order polynomial equation. Optimal levels of parameters were then obtained by analysis of the model and the numerical optimization method. When the Y. lipolytica A-101 was cultivated at optimized pH (5.0) using biofuel waste as a medium, the protein concentration was increased to 8.28-a 44% enhancement as compared to the original (3.65). This study has thus demonstrated a beneficial way to cultivate Y. lipolytica A-101 on biofuel waste for enhanced production of single cell protein and amino acids for use in human diet and in animal feed.

中文翻译:

统计评估生物燃料废料中生长参数的增长,以提高解脂耶氏酵母单细胞蛋白质和氨基酸的产量。

解脂耶氏酵母是一种油质酵母,能够在多种底物类型上生长,特别是在工业废料上。本文涉及发酵参数和培养基的统计优化,以确保一致和改善解脂耶氏酵母蛋白质的生产。观察到解脂耶氏酵母A-101菌株熟练生产单细胞蛋白质,氨基酸和维生素B12,同时利用生物燃料废物代替完整的YPD培养基进行酵母生长。然后进行分形设计实验,温度和pH值这两个发酵参数被认为对蛋白质和氨基酸的产生有重要影响。随后,采用具有三级完整因子设计的响应面方法来优化这些影响参数。因此,利用五个不同的测量系统来构建二次模型和二阶多项式方程。然后通过模型分析和数值优化方法获得最佳参数水平。当使用生物燃料废弃物作为培养基在最佳pH(5.0)下培养解脂耶氏酵母A-101时,蛋白质浓度比原始浓度(3.65)提高到8.28-44%。因此,该研究证明了在生物燃料废物上培养解脂耶氏酵母A-101的有益方法,以提高用于人类饮食和动物饲料的单细胞蛋白质和氨基酸的产量。然后通过模型分析和数值优化方法获得最佳参数水平。当使用生物燃料废弃物作为培养基在最佳pH(5.0)下培养解脂耶氏酵母A-101时,蛋白质浓度比原始浓度(3.65)提高到8.28-44%。因此,该研究证明了在生物燃料废物上培养解脂耶氏酵母A-101的有益方法,以增强人类饮食和动物饲料中单细胞蛋白质和氨基酸的产量。然后通过模型分析和数值优化方法获得最佳参数水平。当使用生物燃料废弃物作为培养基在最佳pH(5.0)下培养解脂耶氏酵母A-101时,蛋白质浓度比原始浓度(3.65)提高到8.28-44%。因此,该研究证明了在生物燃料废物上培养解脂耶氏酵母A-101的有益方法,以增强人类饮食和动物饲料中单细胞蛋白质和氨基酸的产量。
更新日期:2020-02-18
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