Quantifying second generation ethanol inhibition: Design of Experiments approach and kinetic model development
| Autor: | Roger W. Johnson, Patrick C. Gilcrease, Todd J. Menkhaus, Steven Schneiderman |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Analysis of Variance
Environmental Engineering Chromatography Ethanol Renewable Energy Sustainability and the Environment Stereochemistry Bioengineering Saccharomyces cerevisiae General Medicine Factorial experiment Models Theoretical Ethanol fermentation Furfural Hydrolysate Kinetics Acetic acid chemistry.chemical_compound chemistry Research Design Fermentation Ethanol fuel Waste Management and Disposal |
| Zdroj: | Bioresource Technology. 179:219-226 |
| ISSN: | 0960-8524 |
| DOI: | 10.1016/j.biortech.2014.11.087 |
| Popis: | While softwoods represent a potential feedstock for second generation ethanol production, compounds present in their hydrolysates can inhibit fermentation. In this study, a novel Design of Experiments (DoE) approach was used to identify significant inhibitory effects on Saccharomyces cerevisiae D 5 A for the purpose of guiding kinetic model development. Although acetic acid, furfural and 5-hydroxymethyl furfural (HMF) were present at potentially inhibitory levels, initial factorial experiments only identified ethanol as a significant rate inhibitor. It was hypothesized that high ethanol levels masked the effects of other inhibitors, and a subsequent factorial design without ethanol found significant effects for all other compounds. When these non-ethanol effects were accounted for in the kinetic model, R ¯ 2 was significantly improved over an ethanol-inhibition only model ( R ¯ 2 = 0.80 vs. 0.76). In conclusion, when ethanol masking effects are removed, DoE is a valuable tool to identify significant non-ethanol inhibitors and guide kinetic model development. |
| Databáze: | OpenAIRE |
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