Numerical analysis of the impact of structural changes in cellulosic substrates on enzymatic saccharification.
Here, a simple cellulose conversion model that considers the cellulose surface area and surface density of adsorbed cellulase as substrate-derived and cellulase-derived factors controlling reaction rates is provided. Microcrystalline cellulose (Avicel) and delignifed softwood were used as controls, and structure-modified samples were prepared. It was shown that the initial cellulose conversion rate is largely controlled by the cellulose surface area. Moreover, the proposed model demonstrates that increases in cellulose surface area reduce retardation of the cellulase reaction. The proposed model was used to estimate the impact of structural changes in a substrate (i.e., cellulose surface area) by pre-treatment on enzymatic saccharification. It was found that increasing the cellulose surface area is the most effective way to optimize enzymatic saccharification of cellulose substrates.
Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Tokyo 153-8505, Japan. bassdj80@iis.u-tokyo.ac.jp
Dong-June
DJ
Seo
Hirotaka
H
Fujita
Akiyoshi
A
Sakoda
D000327:Adsorption; D001709:Biotechnology / Q000379:methods*; D050260:Carbohydrate Metabolism; D002480:Cellulase / Q000378:metabolism; D002482:Cellulose / Q000737:chemistry / Q000378:metabolism*; D008954:Models, Biological; D009716:Numerical Analysis, Computer-Assisted; D015203:Reproducibility of Results; D013379:Substrate Specificity; D013696:Temperature; D013997:Time Factors
D002482:Cellulose; D002480:Cellulase