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

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 param- eters 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 quad- ratic 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 com- pared 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.

Keywords

Amino acids, Biofuel waste, Fermentation optimization, Single cell protein, Yarrowia lipolytica

Citation

"AMB Express", 2020, Vol. 10, Article number: 35