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首页> 外文期刊>Iranian Journal of Pharmaceutical Research >Simultaneous Optimization of the Production of Organic Selenium and Cell Biomass in Saccharomyces Cerevisiae by Plackett-Burman and Box-Behnken Design
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Simultaneous Optimization of the Production of Organic Selenium and Cell Biomass in Saccharomyces Cerevisiae by Plackett-Burman and Box-Behnken Design

机译:Plackett-Burman和Box-Behnken设计同时优化酿酒酵母中有机硒和细胞生物量的生产

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Selenium (Se) as a vital trace element has many biological activities such as anti-inflammation and anti-oxidation. Selenomethionine as an organic selenium plays a vital role in the response to oxidative stress. At present, Saccharomyces cerevisiae is one of the best microorganisms that has the ability to accumulate selenium. Production of Seleno-yeast was done by growing Saccharomyces cerevisiae in the presence of water soluble selenium salt (Na2SeO3) as a part of the medium. The yield of selenium biotransformation and yeast biomass can be improved by optimizing the process conditions in two steps. First, the effects of several culture parameters (culture conditions and culture media) were studied using the Plackett-Burman design. After that, determining the optimum levels of the effective parameters was performed by Box-Behnken response surface methodology. Optimization of the conditions was performed with the aim of simultaneously optimizing the biomass and selenium biotransformation. In this investigation, the effect of the eleven culture parameters was studied with Plackett-Burman design. Then, four significant culture parameters such as glucose concentration, aeration, selenium concentration, and temperature were optimized with Box-Behnken response surface methodology.
机译:硒作为重要的微量元素,具有多种生物活性,例如抗发炎和抗氧化。硒代蛋氨酸作为有机硒在氧化应激反应中起着至关重要的作用。目前,酿酒酵母(Saccharomyces cerevisiae)是具有积累硒能力的最好的微生物之一。通过在水溶性硒盐(Na 2 SeO 3)作为培养基的一部分存在下生长酿酒酵母来完成硒代酵母的生产。通过分两步优化工艺条件,可以提高硒生物转化率和酵母生物量的产量。首先,使用Plackett-Burman设计研究了几种培养参数(培养条件和培养基)的影响。此后,通过Box-Behnken响应面方法确定有效参数的最佳水平。为了同时优化生物量和硒的生物转化,进行条件的优化。在这项调查中,采用Plackett-Burman设计研究了11种培养参数的影响。然后,使用Box-Behnken响应面法优化了四个重要的培养参数,例如葡萄糖浓度,通气量,硒浓度和温度。

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