Vénica Claudia I, Bergamini Carina V, Perotti María C
Instituto de Lactología Industrial-Universidad Nacional del Litoral/Consejo Nacional de Investigaciones Científicas y Técnicas (INLAIN-UNL/CONICET),Santiago del Estero 2829, S3000AOM Santa Fe,Argentina.
J Dairy Res. 2017 Nov;84(4):464-470. doi: 10.1017/S0022029917000541. Epub 2017 Sep 20.
The experiments reported in this research paper describe the effects of β-galactosidase enzyme dose and cheese whey amount, on the maximum concentration and yield of galacto-oligosaccahride (GOS) and reaction time. The experimental plan was based on central composite rotational design (CCRD) and modelled by response surface methodology (RSM). The results indicate that the proposed mathematical models could adequately describe the concentration and yield of GOS and the reaction time within the limits of the factors that are being investigated. The variance analysis shows high values of coefficients of determination (>0·97) while no significant lack of fit was evident. Hence, the models could be employed to select reaction conditions applied in the manufacture of products enriched in bioactive compounds with high value-added.
本研究论文中报道的实验描述了β-半乳糖苷酶剂量和奶酪乳清量对低聚半乳糖（GOS）的最大浓度、产量及反应时间的影响。实验方案基于中心复合旋转设计（CCRD），并采用响应面法（RSM）进行建模。结果表明，所提出的数学模型能够在正在研究的因素范围内充分描述GOS的浓度、产量及反应时间。方差分析显示决定系数值较高（>0·97），且未明显存在显著的失拟情况。因此，这些模型可用于选择应用于生产富含高附加值生物活性化合物产品的反应条件。
