利用面中心复合设计-响应面法优化益生菌嗜酸乳杆菌ATCC 4356生物质生产的脱脂乳培养基

Alaa Imad Abdulrazzaq, Khalilah Abd Khalil
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引用次数: 3

摘要

使用商业培养基来支持益生菌的生长受到其成本和食品中产生的异味的限制。因此,本研究利用FCCD-RSM优化了脱脂乳和酵母提取物的浓度,作为培养嗜酸乳杆菌ATCC 4356生物量的培养基。统计分析表明,以生物质产量达到最高水平为优化目标,且因子浓度在选定范围内,脱脂乳和酵母浸膏的最优配比分别为9.46 g/L和1.07 g/L。此外,pH谱分析显示,由于碳水化合物代谢产生的有机酸,在RSM工具生成的最佳预测条件下(0.979 OD600), pH值从4.262下降到4.061。但实验结果与预测结果差异无统计学意义(P>0.05),错误率低。综上所述,优化后的脱脂乳(10g/L)和酵母浸膏(1g/L)可用于支持嗜酸乳杆菌更好的生物量生产,并为进一步应用做准备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of Skim Milk Based Medium for Biomass Production of Probiotic Lactobacillus Acidophilus ATCC 4356 Using Face Central Composite Design-Response Surface Methodology Approach
The use of commercial media to support probiotic bacterial growth is limited by its cost and off-flavour generated in food products. Thus, this study optimized skim milk and yeast extract concentration as a cultivation medium for optimal Lactobacillus acidophilus ATCC 4356 biomasses using FCCD-RSM. The statistical analysis showed that the optimal compositions of skim milk and yeast extract were at 9.46 g/L and 1.07 g/L, respectively by setting the goal of optimization for biomass production to be at maximum level and the factor concentration in selected range. Besides, pH profiling showed pH value declined from 4.262 to 4.061 during cultivation due to organic acid produced from carbohydrate metabolism at the predicted response in optimal conditions (0.979 OD600) generated by the RSM tool. However, the experimental and predicted results were not significant difference (P>0.05) with low error percentage. As conclusion, the optimized skim milk (10g/L) and yeast extract (1g/L) obtained from RSM model and experimental values can be used to support better biomass production for L. acidophilus and prepare the cells for further application.
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