Exploratory search for optimal biomass utilization for three different types of corn biomasses – corn cobs, corn fiber and corn stover.
The exact biomass compositions for this experiment were derived from (Baldwin and Sniegowski, 1951; Mcaloon et al., 2000; Van Eylen et al., 2011).
Five potential fermentation targets were evaluated: Ethanol, Acetone, 1-Butanol, (R)-Propane-1,2-diol and (S)-Propane-1,2-diol.
For each tested biomass and fermentation target we performed simulations for both single-step and for two-step fermentations under either aerobic or anaerobic conditions for four organism models currently integrated in BioLego flow.
In total, this experiment included 480 different simulations.
We analyzed the possible effects of changes in composition of K. alvarezi algal biomass on the ethanol production yield in the anaerobic two-step process,
in which first organism is S. cerevisiae and the second one is E. coli.
Simulated K. alvarezi media is composed of 37 different compounds
We analyzed the anaerobic two-step fermentation process of Ulva sp. into Ethanol,in which the first organism is S. cerevisiae and the second one is E. coli.
We investigated the impact, on the estimated ethanol production yield, of knocking out single organism reactions either in one or in both organisms.
The S. cerevisiae model is composed of 2,280 metabolic reactions and the E. coli model is composed of 2,914 metabolic reactions.
In total, this leads to 6,649,115 possible single knock-out per organism scenarios.
We compared the experimentally measured ethanol fermentation efficiency with the efficiency predicted by BioLego system.
Wet experiments measured ethanol production yield with presence of small initial amount of oxygen (0.5-2mmol*h-1*gDW-1) as a function of initial amount of U. lactuca sugars for 4 fermentation scenarios: