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Robotic Platform for Parallelized Cultivation and Monitoring of Microbial Growth Parameters in Microwell Plates

机译:用于微孔板平行培养和微生物生长参数监测的机器人平台

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摘要

The enormous variation possibilities of bioprocesses challenge process development to fix a commercial process with respect to costs and time. Although some cultivation systems and some devices for unit operations combine the latest technology on miniaturization, parallelization, and sensing, the degree of automation in upstream and downstream bioprocess development is still limited to single steps. We aim to face this challenge by an interdisciplinary approach to significantly shorten development times and costs. As a first step, we scaled down analytical assays to the microliter scale and created automated procedures for starting the cultivation and monitoring the optical density (OD), pH, concentrations of glucose and acetate in the culture medium, and product formation in fed-batch cultures in the 96-well format. Then, the separate measurements of pH, OD, and concentrations of acetate and glucose were combined to one method. This method enables automated process monitoring at dedicated intervals (e.g., also during the night). By this approach, we managed to increase the information content of cultivations in 96-microwell plates, thus turning them into a suitable tool for high-throughput bioprocess development. Here, we present the flowcharts as well as cultivation data of our automation approach.
机译:生物过程的巨大变化可能性对过程开发提出了挑战,以在成本和时间方面确定商业过程。尽管某些栽培系统和某些用于单元操作的设备结合了有关微型化,并行化和传感的最新技术,但上游和下游生物过程开发的自动化程度仍然仅限于单个步骤。我们旨在通过跨学科的方法来面对这一挑战,以大大缩短开发时间和成本。第一步,我们将分析测定法缩减至微升规模,并创建了自动程序以开始培养并监测光密度(OD),pH,培养基中葡萄糖和乙酸盐的浓度以及分批进料中的产物形成以96孔格式进行培养。然后,将pH,OD以及乙酸盐和葡萄糖浓度的单独测量合并为一种方法。这种方法可以在特定的时间间隔(例如,在夜间)进行自动过程监控。通过这种方法,我们设法增加了96微孔板中培养物的信息含量,从而使它们成为进行高通量生物过程开发的合适工具。在这里,我们介绍了自动化方法的流程图和培养数据。

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