Abstract

BackgroundUpstream bioprocesses are extremely complex since living organisms are used to generate active pharmaceutical ingredients (APIs). Cells in culture behave uniquely in response to their environment, thus culture conditions must be precisely defined and controlled in order for productivity and product quality to be reproducible. Thus, development culturing platforms are needed where many experiments can be carried out at once and pertinent scale-up information can be obtained.ResultsHere we have tested a High Throughput Bioreactor (HTBR) as a scale-down model for a lab-scale wave-type bioreactor (CultiBag). Mass transfer was characterized in both systems and scaling based on volumetric oxygen mass transfer coefficient (kLa) was sufficient to give similar DO trends. HTBR and CultiBag cell growth and mAb production were highly comparable in the first experiment where DO and pH were allowed to vary freely. In the second experiment, growth and mAb production rates were lower in the HTBR as compared to the CultiBag, where pH was controlled. The differences in magnitude were not considered significant for biological systems.ConclusionSimilar oxygen delivery rates were achieved in both systems, leading to comparable culture performance (growth and mAb production) across scales and mode of mixing. HTBR model was most fitting when neither system was pH-controlled, providing an information-rich alternative to typically non-monitored mL-scale platforms.

Highlights

  • Upstream bioprocesses are extremely complex since living organisms are used to generate active pharmaceutical ingredients (APIs)

  • Embedded in the transfer constant value is sensing reaction rate, which is based on the sensing chemistry. Both reactor systems use fluorescence lifetime sensing for oxygen, the optical sensors are from different vendors, PreSens http://www.presens.de and Fluorometrix http://www.fluorometrix.com, for CultiBag and High Throughput Bioreactor (HTBR), respectively, and the sensing chemistries are different

  • (page number not for citation purposes) http://www.microbialcellfactories.com/content/8/1/44 scaling based on volumetric oxygen mass transfer coefficient was sufficient to give similar dissolved oxygen (DO) trends

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Summary

Introduction

Upstream bioprocesses are extremely complex since living organisms are used to generate active pharmaceutical ingredients (APIs). Development culturing platforms are needed where many experiments can be carried out at once and pertinent scale-up information can be obtained. The upstream stages of a typical bioprocess are, arguably, the most complicated since living organisms are used. Microbial Cell Factories 2009, 8:44 http://www.microbialcellfactories.com/content/8/1/44 optimize media and growth conditions, as well as select the actual production organism. Due to economic and time constraints, strain selection and media and bioreactor development have typically been carried out in low volume, high throughput platforms, such as flasks on the scale of 50 – 6,000 ml and lab-scale bioreactors [1]. Without monitoring and control of critical parameters pH and dissolved oxygen (DO) in flasks, these parameters could drift to unfavorable levels, confounding cell viability, strain productivity or media component dependence [2,3,4]. Labscale bioreactors can monitor and control DO and pH but they are comparatively low throughput (i.e., they run one relatively large culture at a time)

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