Bioprocessing and Renewable Energy Laboratory, Department of Grain Science and Industry, Kansas State University, Manhattan, KS, USA.
Bioprocessing and Renewable Energy Laboratory, Department of Grain Science and Industry, Kansas State University, Manhattan, KS, USA; Department of Chemical Engineering, Kansas State University, Manhattan, KS, USA.
Bioresour Technol. 2017 Nov;243:196-203. doi: 10.1016/j.biortech.2017.06.065. Epub 2017 Jun 27.
This study investigated the potential of corn bran as a feedstock for microbial lipid production using oleaginous yeast, Trichosporon oleaginosus ATCC20509. Different conditions (solid loading of biomass, acid loading, and pretreatment duration) were applied to optimize pretreatment processes using the Box-Behnken design. The highest sugar yield of 0.53g/g was obtained from corn bran hydrolysates at a pretreatment condition of 5% solid loading and 1% acid loading for 30min. Compared with synthetic media, up to 50% higher lipid accumulations in T. oleaginosus were achieved using corn bran hydrolysates during fermentation. Also, the direct effect of pretreatment condition on the lipid accumulation of T. oleaginosus was investigated using response surface methodology (RSM). Solid loading of biomass during the pretreatment process significantly affected the fermentation process for lipid accumulation of T. oleaginosus. The RSM model can provide useful information to design an integrated bioconversion platform.
本研究利用产油酵母——油脂酵母(Trichosporon oleaginosus ATCC20509),探讨了玉米麸皮作为微生物油脂生产原料的潜力。采用 Box-Behnken 设计,针对不同条件(生物质固体负荷、酸负荷和预处理时间)进行了优化,以优化预处理工艺。在预处理条件为 5%固体负荷和 1%酸负荷、预处理时间 30min 的条件下,玉米麸皮水解物的糖产量最高,达到 0.53g/g。与合成培养基相比,利用玉米麸皮水解物进行发酵时,油脂酵母的油脂积累量最高可提高 50%。此外,还采用响应面法(RSM)研究了预处理条件对油脂酵母油脂积累的直接影响。预处理过程中的生物质固体负荷对油脂酵母的发酵过程中油脂积累有显著影响。RSM 模型可以为设计集成生物转化平台提供有用的信息。