统计实验设计在优化利用菠萝废弃物生产柠檬酸的培养基成分中的应用。
Application of statistical experimental designs for the optimization of medium constituents for the production of citric acid from pineapple waste.
作者信息
Imandi Sarat Babu, Bandaru Veera Venkata Ratnam, Somalanka Subba Rao, Bandaru Sita Ramalakshmi, Garapati Hanumantha Rao
机构信息
Center for Biotechnology, Department of Chemical Engineering, College of Engineering, Andhra University, Visakhapatnam 530 003, India.
出版信息
Bioresour Technol. 2008 Jul;99(10):4445-50. doi: 10.1016/j.biortech.2007.08.071. Epub 2007 Oct 23.
Statistical experimental designs were applied for the optimization of medium constituents for citric acid production by Yarrowia lipolytica NCIM 3589 in solid state fermentation (SSF) using pineapple waste as the sole substrate. Using Plackett-Burman design, yeast extract, moisture content of the substrate, KH(2)PO(4) and Na(2)HPO(4) were identified as significant variables which highly influenced citric acid production and these variables were subsequently optimized using a central composite design (CCD). The optimum conditions were found to be yeast extract 0.34 (%w/w), moisture content of the substrate 70.71 (%), KH(2)PO(4) 0.64 (%w/w) and Na(2)HPO(4) 0.69 (%w/w). Citric acid production at these optimum conditions was 202.35 g/kg ds (g citric acid produced/kg of dried pineapple waste as substrate).
采用统计实验设计方法，以菠萝废弃物为唯一底物，对解脂耶氏酵母NCIM 3589固态发酵生产柠檬酸的培养基成分进行优化。通过Plackett-Burman设计，确定酵母提取物、底物水分含量、KH(2)PO(4)和Na(2)HPO(4)为对柠檬酸产量有显著影响的变量，随后使用中心复合设计（CCD）对这些变量进行优化。发现最佳条件为酵母提取物0.34（%w/w）、底物水分含量70.71（%）、KH(2)PO(4) 0.64（%w/w）和Na(2)HPO(4) 0.69（%w/w）。在这些最佳条件下，柠檬酸产量为202.35 g/kg ds（以干燥菠萝废弃物为底物生产的柠檬酸克数/千克）。
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