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Optimization of lipid production by oleaginous yeast in continuous culture

机译:优化连续培养的糖酵母脂质生产

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Oleaginous yeasts are microbial factories capable of converting carbohydrates and fat substrates into lipids. The transesterification of these lipids results in the production of biodiesel, a renewable energy source that has emerged as a promising and sustainable alternative to overcome the eminent depletion of fossil fuels and to reduce the environmental impacts of petroleum exploitation. To bring biodiesel production as a realistic technology to respond to the worldwide energy demand, process optimization is to be pursued. In this paper, we performed a model-based optimization of lipid productivity in continuous mode operation. It is considered that two input flow rates at different carbon/nitrogen ratio are available as manipulated variables. The optimal control problem was solved numerically by using the control vector parameterization approach. A simple parameterization with piecewise linear functions was found to be suitable for providing optimal performances. We showed that by driving the carbon/nitrogen ratio along the process adequately, optimal performances are attained. The control strategy here developed excels substantially an operation with a single input flow rate with fixed C/N ratio. This work sets up useful guidelines towards optimal bioprocesses for microbial lipid production.
机译:含油酵母是能够将碳水化合物和脂肪的底物转化的脂质的微生物工厂。在生物柴油生产,这已成为一个有前途的和可持续的替代克服化石燃料的枯竭杰出并减少石油开采对环境的影响可再生能源的这些脂质结果的酯交换反应。为了使生物柴油生产的现实技术,以应对全球的能源需求,流程优化是要追求的。在本文中,我们连续工作模式进行,脂质的生产能力的基于模型的优化。据认为,在不同的碳/氮比两个输入流率可作为操纵变量。最优控制问题是通过使用矢量控制方法的参数数值求解。与分段线性函数的简单参数被发现是适合于提供最佳性能。我们发现,通过驱动沿处理充分碳/氮比,最佳性能得到实现。这里的控制策略开发擅长大致的动作与固定的C / N比的单个输入流率。这项工作建立了对微生物油脂生产生物过程优化有用的准则。

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