Abstract

BackgroundFine-tuning the aeration for cultivations when oxygen-limited conditions are demanded (such as the production of vaccines, isobutanol, 2–3 butanediol, acetone, and bioethanol) is still a challenge in the area of bioreactor automation and advanced control. In this work, an innovative control strategy based on metabolic fluxes was implemented and evaluated in a case study: micro-aerated ethanol fermentation.ResultsThe experiments were carried out in fed-batch mode, using commercial Saccharomyces cerevisiae, defined medium, and glucose as carbon source. Simulations of a genome-scale metabolic model for Saccharomyces cerevisiae were used to identify the range of oxygen and substrate fluxes that would maximize ethanol fluxes. Oxygen supply and feed flow rate were manipulated to control oxygen and substrate fluxes, as well as the respiratory quotient (RQ). The performance of the controlled cultivation was compared to two other fermentation strategies: a conventional “Brazilian fuel-ethanol plant” fermentation and a strictly anaerobic fermentation (with ultra-pure nitrogen used as the inlet gas). The cultivation carried out under the proposed control strategy showed the best average volumetric ethanol productivity (7.0 g L−1 h−1), with a final ethanol concentration of 87 g L−1 and yield of 0.46 gethanol gsubstrate−1. The other fermentation strategies showed lower yields (close to 0.40 gethanol gsubstrate−1) and ethanol productivity around 4.0 g L−1 h−1.ConclusionThe control system based on fluxes was successfully implemented. The proposed approach could also be adapted to control several bioprocesses that require restrict aeration.

Highlights

  • Conventional strategies in aerobic processes are essentially based on measurements of the dissolved oxygen concentration (DOC), which is controlled by adjusting the stirrer speed and, occasionally, the composition of Mesquita et al Microb Cell Fact (2019) 18:150 the gas supplied to the reactor or the total gas flow rate [2, 3]

  • Ethanol production in S. cerevisiae fermentation operated in fed-batch mode was chosen as a case study to test the flux-based micro-aeration control (FMC)

  • The modulation of oxygen fluxes following the pattern defined by the data obtained in silico using Saccharomyces cerevisiae iND750 genome-scale metabolic model (GSM) was effective in directing the yeast metabolism towards ethanol formation

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Summary

Introduction

The performance of bioreactors depends on the control of several cultivation conditions (e.g.: pH, temperature, dissolved oxygen), in order to direct cell metabolism towards the improvement in yield, selectivity, and productivity of Conventional strategies in aerobic processes are essentially based on measurements of the dissolved oxygen concentration (DOC), which is controlled by adjusting the stirrer speed and, occasionally, the composition of Mesquita et al Microb Cell Fact (2019) 18:150 the gas supplied to the reactor (for instance, enrichment with pure oxygen) or the total gas flow rate [2, 3]. Micro-aerobic conditions are required to produce many biotechnological products, including vaccines used against H. influenzae, S. pnemoniae, and N. meningitidis [7,8,9], and bioethanol production by S. cerevisiae [10], by E. coli [11], and by P. stipitis [12]. The production of advanced biofuels and bio-based chemical intermediates, including n-butanol [13], 2,3-butanediol [14] and acetone [15], important in the context of the emerging low carbon economy relies on micro-aerobic cultivations. Fine-tuning the aeration for cultivations when oxygen-limited conditions are demanded (such as the production of vaccines, isobutanol, 2–3 butanediol, acetone, and bioethanol) is still a challenge in the area of bioreactor automation and advanced control. An innovative control strategy based on metabolic fluxes was implemented and evaluated in a case study: micro-aerated ethanol fermentation

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