Kinetic modeling of cellulosic biomass to ethanol via simultaneous saccharification and fermentation: Part II. Experimental validation using waste paper sludge and anticipation of CFD analysis
Article first published online: 15 JUL 2008
Copyright © 2008 Wiley Periodicals, Inc.
Biotechnology and Bioengineering
Volume 102, Issue 1, pages 66–72, 1 January 2009
How to Cite
Shao, X., Lynd, L. and Wyman, C. (2009), Kinetic modeling of cellulosic biomass to ethanol via simultaneous saccharification and fermentation: Part II. Experimental validation using waste paper sludge and anticipation of CFD analysis. Biotechnol. Bioeng., 102: 66–72. doi: 10.1002/bit.22047
- Issue published online: 21 NOV 2008
- Article first published online: 15 JUL 2008
- Accepted manuscript online: 15 JUL 2008 12:00AM EST
- Manuscript Accepted: 7 JUL 2008
- Manuscript Revised: 12 JUN 2008
- Manuscript Received: 15 NOV 2007
- National Institute of Standards and Technology. Grant Number: 60NANB1D0064
- model validation
A kinetic model of cellulosic biomass conversion to ethanol via simultaneous saccharification and fermentation (SSF) developed previously was validated experimentally using paper sludge as the substrate. Adsorption parameters were evaluated based on the data obtained at various values for fractional cellulose conversion. The adsorption model was then combined with batch SSF data to evaluate the cellulose hydrolysis parameters. With the parameters evaluated for the specific substrate, the discrete model was able to predict SSF successfully both with discrete addition of cellulase only and with discrete feeding of substrate, cellulase, and media. The model tested in this study extends the capability of previous SSF models to semi-continuous feeding configurations, and invites a mechanistic interpretation of the recently observed trend of increasing conversion with decreasing feeding frequency [Fan et al. (2007a) Bioprocess Biosyst Eng 30(1):27–34]. Our results also support the feasibility and utility of determining adsorption parameters based on data obtained at several conversions, particularly when the model is to be applied to extended reaction times rather than only initial hydrolysis rates. The revised model is considerably more computationally efficient than earlier models, and appears for many conditions to be within the capability of simulation using computational fluid dynamics. Biotechnol. Bioeng. 2009;102: 66–72. © 2008 Wiley Periodicals, Inc.