(690e) From Starch-Enriched Algal Biomass to Biobutanol Production – a Model-Based Optimisation Study
In order to establish the best microalgae-to-biobutanol route, we have previously employed a kinetic model capable of accurately predicting algal growth dynamics subject to mixotrophic growing conditions co-limited by nitrogen and phosphorus (Figueroa-Torres et al., 2017). The proposed model was successfully validated against datasets obtained from lab-scale cultures of Chlamydomonas reinhartii CCAP 11/32c. In this work, âstarch-enrichedâ algal biomass, as obtained from a validated model-based cultivation strategy maximising starch formation, has been evaluated as a feedstock for biobutanol production. Thus, a kinetic model has been developed in combination with a range of lab-scale batch fermentation experiments with the wild-type strain Clostridium acetobutylicum DSM 792 (at 37 Â°C under anaerobic conditions) to: i) identify optimal pre-treatment steps required to use âstarch-enrichedâ microalgal biomass as a fermentable feedstock, ii) establish optimal operating conditions for biobutanol production, and ii), and establish the kinetics of biobutanol production from âstarch-enrichedâ algal biomass.
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