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A multifactorial design for studying factors influencing the growth and tyramine production of the lactic acid bacteria Lactobacillus brevis CECT 4669 and Enterococcus faecium BIFI-58

机译:用于研究影响乳酸菌短乳杆菌CECT 4669和粪肠球菌BIFI-58的生长和酪胺产生的因素的多因素设计

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摘要

A central composite face design was used to study growth and tyramine production of two strains of lactic acid bacteria, Lactobacillus brevis\udCECT 4669 and Enterococcus faecium BIFI-58. The effects of five physicochemical factors (incubation temperature and time, environmental pH,\udadded tyrosine concentration, and pyridoxal-5-phosphate (PLP) supplementation) on cell growth and tyramine production were analyzed under\udaerobic and anaerobic conditions. The parameters of the quadratic model for each response variable were estimated by multiple linear regression\ud(MLR), and statistical analysis of the results led to the elucidation of mathematical models capable of predicting the behavior of the responses\udas a function of the main variables involved in the process. Incubation time was found to be the most important variable influencing growth in\udL. brevis, while pH showed the highest contribution in E. faecium. The production of tyramine was dependent on the added tyrosine concentration\udand incubation time. The proposed MLR model predicted the optimum conditions that gave maximum responses for L. brevis and E. faecium\udgrowth and tyramine production. In both strains, this model predicted that the anaerobic condition at acidic pH (4.4) in the presence of a high\udtyrosine concentration favors tyramine production
机译:中央复合面部设计用于研究两种乳酸菌短乳杆菌udCECT 4669和粪肠球菌BIFI-58的生长和酪胺产生。在\好氧和厌氧条件下,分析了五个理化因素(孵育温度和时间,环境pH,\增加的酪氨酸浓度和补充5-磷酸吡ido醛(PLP))对细胞生长和酪胺产生的影响。通过多元线性回归\ ud(MLR)估算每个响应变量的二次模型参数,并对结果进行统计分析,从而阐明了能够预测响应行为的数学模型\过程中涉及的变量。发现孵化时间是影响\ udL生长的最重要变量。在pH值方面,粪肠球菌的贡献最大。酪胺的产生取决于添加的酪氨酸浓度\ ud和孵育时间。提出的MLR模型预测了最佳条件,该条件给出了短乳杆菌和粪肠球菌\生长和酪胺产生的最大响应。在两种菌株中,该模型都预测在酸性\ pH(4.4)下,高\\酪氨酸浓度下的厌氧条件有利于酪胺的产生。

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