Ude Christian, Schmidt-Hager Jörg, Findeis Michael, John Gernot Thomas, Scheper Thomas, Beutel Sascha
Leibniz University of Hanover, Institute of Technical Chemistry, Callinstr. 5, 30167 Hannover, Germany.
PreSens Precision Sensing GmbH, Josef-Engert-Str. 11, 93053 Regensburg, Germany.
Sensors (Basel). 2014 Sep 17;14(9):17390-405. doi: 10.3390/s140917390.
In the context of this work we evaluated a multisensory, noninvasive prototype platform for shake flask cultivations by monitoring three basic parameters (pH, pO2 and biomass). The focus lies on the evaluation of the biomass sensor based on backward light scattering. The application spectrum was expanded to four new organisms in addition to E. coli K12 and S. cerevisiae [1]. It could be shown that the sensor is appropriate for a wide range of standard microorganisms, e.g., L. zeae, K. pastoris, A. niger and CHO-K1. The biomass sensor signal could successfully be correlated and calibrated with well-known measurement methods like OD600, cell dry weight (CDW) and cell concentration. Logarithmic and Bleasdale-Nelder derived functions were adequate for data fitting. Measurements at low cell concentrations proved to be critical in terms of a high signal to noise ratio, but the integration of a custom made light shade in the shake flask improved these measurements significantly. This sensor based measurement method has a high potential to initiate a new generation of online bioprocess monitoring. Metabolic studies will particularly benefit from the multisensory data acquisition. The sensor is already used in labscale experiments for shake flask cultivations.
在本研究中,我们通过监测三个基本参数(pH、pO₂和生物量),评估了一个用于摇瓶培养的多感官、非侵入性原型平台。重点在于基于后向光散射的生物量传感器的评估。除了大肠杆菌K12和酿酒酵母之外,应用范围还扩展到了四种新的生物体[1]。结果表明,该传感器适用于多种标准微生物,例如玉米赤霉、巴斯德毕赤酵母、黑曲霉和CHO-K1。生物量传感器信号能够成功地与OD600、细胞干重(CDW)和细胞浓度等知名测量方法进行关联和校准。对数函数和基于Bleasdale-Nelder的函数适用于数据拟合。在低细胞浓度下进行测量时,高信噪比方面被证明是关键的,但在摇瓶中集成定制的遮光罩显著改善了这些测量。这种基于传感器的测量方法具有开启新一代在线生物过程监测的巨大潜力。代谢研究将特别受益于多感官数据采集。该传感器已用于摇瓶培养的实验室规模实验。