Feedstock conversions yields approach theoretical maximumread more
Biosynthetic bisabolene is a precursor to bisabolane – a potential renewable diesel fuel alternative. Bisabolane has attractive physical properties including a much lower cloud point (-78°C) than traditional diesel (-35°C) making bisabolane a potential cold weather additive to current fuels.read more
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Feedstock conversions yields approach theoretical maximum
The Story of Ionic Liquids
Lygos’ fermentation technology enables production of malonic acid at a lower cost
November 8-13, 2015
November 2-5, 2015
September 28-29, 2015
Municipal solid waste (MSW) represents an attractive cellulosic resource for sustainable fuel production. However, its heterogeneity is the major barrier to efficient conversion to biofuels. MSW paper mix was generated and blended with corn stover (CS). It has been shown that both of them can be efficiently pretreated in some ionic liquid (ILs) processes with high yields of fermentable sugars. After pretreatment in 1-ethyl-3-methylimidazolium acetate ([C2C1Im][OAc]), over 80% glucose has been released with enzymatic saccharification. We have also applied an enzyme-free process by adding mineral acid and water directly into the IL/biomass slurry to induce hydrolysis. With the acidolysis process in 1-ethyl-3-methylimidazolium chloride ([C2C1Im]Cl), up to 80% glucose and 90% xylose are released. There is a correlation between the viscosity profile and hydrolysis efficiency; low viscosity of the hydrolysate generally corresponds to high sugar yields. Overall, the results indicate the feasibility of incorporating MSW as a robust blending agent for biorefineries.
Technologies developed for bio-based production are based on single feedstock types. While this approach is applicable for corn stover in the MidWest, for states such as California, with abundant but diverse feedstocks, technologies should be developed to accommodate multiple feedstock input to a single biorefinery. This project established the influence of mixing feedstocks on downstream sugar recovery and thereby fuel production for Imperial County as a case study. To de-risk bio-based production, we relied on statistical approaches and developed a predictive model to identify optimal biomass concentrations and reaction types, temperatures, and times to maximize sugar yield and minimize furfural production.