Can imperfections help to improve bioreactor performance?

Microfluidic single-cell scale-down systems: introduction, application, and future challenges

Performance losses during the scaling-up of bioprocesses from the laboratory to the production scale are common obstacles caused by the formation of concentration gradients in bioreactors. To overcome these obstacles, so-called scale-down bioreactors are used to analyze selected large-scale conditions and are one of the most important predictive tools for the successful transfer of bioprocesses from the lab to the industrial scale. In this regard, cellular behavior is usually measured as an averaged value, neglecting possible cell-to-cell heterogeneity within the culture. In contrast, microfluidic single-cell cultivation (MSCC) systems offer the possibility of understanding cellular processes on a single-cell level. To date, most MSCC systems have a limited choice of cultivation parameters that are not representative of bioprocess-relevant environmental conditions. Herein, we critically review recent advances in MSCC that allow the cultivation and analysis of cells under dynamic (bioprocess-relevant) environmental conditions. Finally, we discuss what technological advances and efforts are needed to bridge the gap between current MSCC systems and the use of these systems as single-cell scale-down devices.

Microbial community composition and dynamics in a semi-industrial-scale facility operating under the MixAlco™ bioconversion platform

AIMS

To monitor microbial community dynamics in a semi-industrial-scale lignocellulosic biofuel reactor system and to improve our understanding of the microbial communities involved in the MixAlco™ biomass conversion process.

METHODS AND RESULTS

Reactor microbial communities were characterized at six time points over the course of an 80-day, mesophilic, semi-industrial-scale fermentation using community qPCR and 16S rRNA tag-pyrosequencing. We found the communities to be dynamic, bacterially dominated consortia capable of changing quickly in response to reactor conditions. Clostridia- and Bacteroidetes-like organisms dominated the reactor communities, but ultimately the communities established consortia containing complementary functional capacities for the degradation of lignocellulosic materials. Eighteen operational taxonomic units were found to share strong correlations with reactor acid concentration and may represent taxa integral to fermentor performance.

CONCLUSIONS

The results of this study indicate that the emergence of complementary functional classes within the fermentor consortia may be a trait that is consistent across scales, and they suggest that there may be flexibility with respect to the specific identities of the organisms involved in the fermentor's degradation and fermentation processes.

SIGNIFICANCE AND IMPACT OF THE STUDY

This study provides new information regarding the composition, dynamics and potential flexibility of the microbial communities associated with the MixAlco™ process and is likely to inform the improvement of this and other applications that employ mixed microbial communities.