Improvement of a two-stage fermentation process for docosahexaenoic acid production by Aurantiochytrium limacinum SR21 applying statistical experimental designs and data analysis

Improvement of a two-stage fermentation process for docosahexaenoic acid production by Aurantiochytrium limacinum SR21 applying statistical experimental designs and data analysis
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DOI:
10.1016/j.biortech.2009.11.056
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发表时间:
2010-04-01
影响因子:
11.4
通讯作者:
Angel Galvagno, Miguel
Angel Galvagno, Miguel
中科院分区:
工程技术1区
文献类型:
--
作者:
Mariana Rosa, Silvina;Abel Soria, Marcelo;Angel Galvagno, Miguel

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统计筛选实验设计应用于确定显着的培养变量的生物量生产的Aurantiochytrium limacinum SR 21和它们的最佳水平,发现使用人工神经网络,遗传算法和图形分析的组合。采用选定的培养条件获得的生物量值(40.3 g细胞干重l(-1))与模型预测的值一致。随后,确定了用于二十二碳六烯酸(DHA)生产的两个重要培养条件,发现从先前(统计学优化的)阶段获得的10%(v/v)的接种物应用于具有55:1的C:N摩尔比的DHA生产培养基中,以达到7.8g DHA l(-1)d(-1)的生产。此后,在3.5升生物反应器中按比例放大生产步骤,获得3.7 g l(-1)d(-1)的DHA生产率。这两个阶段的战略:统计优化的接种物生产(第一步)和DHA生产步骤,首次提出优化有利于获得微生物DHA的生物过程。(C)2009爱思唯尔有限公司版权所有。
Statistical screening experimental designs were applied to identify the significant culture variables for biomass production of Aurantiochytrium limacinum SR21 and their optimal levels were found using a combination of Artificial Neural Networks, genetic algorithms and graphical analysis. The biomass value obtained (40.3 g cell dry weight l(-1)) employing the selected culture conditions agreed with that predicted by the model. Subsequently, two significant culture conditions for docosahexaenoic acid (DHA) production were determined, finding that an inoculum of 10% (v/v), obtained from the previous (statistically optimized) stage, should be used in a DHA production medium having a molar C:N ratio of 55: 1, to reach a production of 7.8 g DHA l(-1) d(-1). The production step was thereafter scaled in a 3.5 1 bioreactor, and DHA productivity of 3.7 g l(-1) d(-1) was obtained. This two-stage strategy: statistically optimized inoculum production (fist step) and a DHA production step, is presented for the first time to optimize a bioprocess conducive to the obtention of microbial DHA. (C) 2009 Elsevier Ltd. All rights reserved.