Morschett Holger, Freier Lars, Rohde Jannis, Wiechert Wolfgang, von Lieres Eric, Oldiges Marco
Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences, IBG-1: Biotechnology, Wilhelm-Johnen-Straße, 52428 Jülich, Germany.
Institute of Biotechnology, RWTH Aachen University, Aachen, Germany.
Biotechnol Biofuels. 2017 Jan 31;10:26. doi: 10.1186/s13068-017-0711-6. eCollection 2017.
Even though microalgae-derived biodiesel has regained interest within the last decade, industrial production is still challenging for economic reasons. Besides reactor design, as well as value chain and strain engineering, laborious and slow early-stage parameter optimization represents a major drawback.
The present study introduces a framework for the accelerated development of phototrophic bioprocesses. A state-of-the-art micro-photobioreactor supported by a liquid-handling robot for automated medium preparation and product quantification was used. To take full advantage of the technology's experimental capacity, Kriging-assisted experimental design was integrated to enable highly efficient execution of screening applications. The resulting platform was used for medium optimization of a lipid production process using toward maximum volumetric productivity. Within only four experimental rounds, lipid production was increased approximately threefold to 212 ± 11 mg L d. Besides nitrogen availability as a key parameter, magnesium, calcium and various trace elements were shown to be of crucial importance. Here, synergistic multi-parameter interactions as revealed by the experimental design introduced significant further optimization potential.
The integration of parallelized microscale cultivation, laboratory automation and Kriging-assisted experimental design proved to be a fruitful tool for the accelerated development of phototrophic bioprocesses. By means of the proposed technology, the targeted optimization task was conducted in a very timely and material-efficient manner.
尽管微藻衍生生物柴油在过去十年间重新引起了人们的兴趣,但由于经济原因,其工业化生产仍具有挑战性。除了反应器设计、价值链和菌株工程外,繁琐且缓慢的早期参数优化是一个主要缺点。
本研究介绍了一种用于加速光合生物过程开发的框架。使用了一种由液体处理机器人支持的先进微型光生物反应器,用于自动培养基制备和产物定量。为了充分利用该技术的实验能力,集成了克里金辅助实验设计,以高效执行筛选应用。所得平台用于使用[具体内容缺失]对脂质生产过程进行培养基优化,以实现最大体积生产力。仅在四轮实验中,脂质产量就增加了约三倍,达到212±11mg L d。除了氮的可用性作为关键参数外,镁、钙和各种微量元素也被证明至关重要。在此,实验设计揭示的协同多参数相互作用显示出显著的进一步优化潜力。
并行化微尺度培养、实验室自动化和克里金辅助实验设计的整合被证明是加速光合生物过程开发的有效工具。通过所提出的技术,目标优化任务得以非常及时且高效地完成。