Model-based estimation of optimal temperature profile during simultaneous saccharification and fermentation of Arundo donax
Article first published online: 17 DEC 2013
© 2013 Wiley Periodicals, Inc.
Biotechnology and Bioengineering
Volume 111, Issue 5, pages 866–875, May 2014
How to Cite
Mutturi, S. and Lidén, G. (2014), Model-based estimation of optimal temperature profile during simultaneous saccharification and fermentation of Arundo donax. Biotechnol. Bioeng., 111: 866–875. doi: 10.1002/bit.25165
- Issue published online: 26 MAR 2014
- Article first published online: 17 DEC 2013
- Accepted manuscript online: 27 NOV 2013 07:38AM EST
- Manuscript Accepted: 18 NOV 2013
- Manuscript Revised: 30 OCT 2013
- Manuscript Received: 17 SEP 2013
- NEMO. Grant Number: 222699
Additional supporting information may be found in the online version of this article at the publisher's web-site.
Figure SI. Sensitivity functions (3 × 9) with respect to time during enzymatic hydrolysis of Arundo at 39°C. From left to right panels represent (dS/dki), (dG2/dki), and (dG/dki), where ki (i = 1–9) represent k1r, K1IG2, K1IG, K1IX, k2r, K2M, K2IG, K2IX, S∞, respectively.
Figure SII. Experimental values of glucose during glucose-inhibition experiments during enzymatic hydrolysis of Arundo with initial glucose 20 g/L (▵), 15 g/L (○), and 0 g/L (□). The solid lines indicate the model predictions prior to reduction. The y-error bars indicate mean ± SE (n = 2).
Figure SIII. The time course concentrations (g/kg) of glucose (▵), cellulose (□) and cellobiose (○) obtained during enzymatic hydrolysis at different temperatures (A) 50°C (B) 45°C (C) 39°C, and (D) 32°C. The reduced model fits are shown by solid lines for corresponding experimental values.
Table SI. Model equations for hydrolysis, fermentation and in silico SSF.
Table SII. Parameter settings for the iterative dynamic programming.
Table SIII. Composition of pretreated Arundo material.
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