(768c) From Microalgal Starch to Biobutanol Production – a Combined Experimental and Computational Study
In order to establish the best microalgae-to-biobutanol route, we have previously developed a multi-parameter kinetic model capable of predicting the dynamics of biomass, starch, and lipids as a function of nutrient availability and subject to mixotrophic growing conditions (Figueroa-Torres et al., 2017). Our proposed model, responsive to the concentrations of nitrogen (N), and acetate (A) as carbon source, was successfully validated against experimental data obtained from various nutrient-stressed lab-scale cultures of Chlamydomonas reinhartii CCAP 11/32c. In this work, âstarch-enrichedâ microalgal biomass, as obtained from a model-based cultivation strategy maximising starch formation, has been evaluated as a potential feedstock for biobutanol production. Thus, a kinetic model has been developed in combination with a range of lab-scale batch fermentation experimentsÂ with the wild-type strain Clostridium acetobutylicumDSM 792 (at 37 Â°C under anaerobic conditions)Â to: i) establish optimal operating conditions for biobutanol production,Â ii) identify optimal pre-treatment steps required to adequately use âstarch-enrichedâ microalgal biomass as a fermentable feedstock, and iii) establish the kinetics of bio-butanol production from âstarch-enrichedâ algal biomass.
Figueroa-Torres, G., Pittman, J., Theodoropoulos, C., 2017. Kinetic Modelling of starch and lipid formation during mixotrophic, nutrient-limited microalgal growth. Bioresource Technology (Submitted).
Kumar, M., Gayen, K., 2011. Developments in biobutanol production: New insights. Appl. Energy 88, 1999â2012. doi:10.1016/j.apenergy.2010.12.055
Markou, G., Angelidaki, I., Georgakakis, D., 2012. Microalgal carbohydrates: an overview of the factors influencing carbohydrates production, and of main bioconversion technologies for production of biofuels. Appl. Microbiol. Biotechnol. 96, 631â645. doi:10.1007/s00253-012-4398-0