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Starch hydrolysis modeling: Application to fuel ethanol production
Ganti S. Murthy
, David B. Johnston
,
Kent D. Rausch
,
M. E. Tumbleson
,
Vijay Singh
Agricultural and Biological Engineering
Grainger College of Engineering
Food Science and Human Nutrition
Animal Sciences
Carl R. Woese Institute for Genomic Biology
Center for Global Studies
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Keyphrases
Amylopectin
100%
Amylose
66%
Cluster Model
33%
Corn Hybrids
33%
Correlation Coefficient
33%
DP4+
33%
Dry Grinding
33%
Enzymatic Hydrolysis
33%
Enzyme Activity
33%
Ethanol
33%
Experimental Values
33%
Fuel Ethanol Production
100%
Glucose Concentration
66%
High-amylose Maize Starch
33%
Hydrolysis
66%
Hydrolysis Modeling
100%
Liquefaction
33%
Maltose
33%
Maltotriose
33%
Model Experimental
33%
Model Prediction
100%
Modelling Applications
100%
Molecular Approaches
33%
Monte Carlo Simulation Method
33%
Prediction Value
33%
Saccharification
66%
Simulation Prediction
33%
Starch
100%
Starch Hydrolysis
100%
Starch Structure
33%
Waxy Corn Starch
33%
Yellow Dent Corn
66%
Agricultural and Biological Sciences
Amylopectin
50%
Amylose
50%
Corn Starch
16%
Dent Corn
33%
Enzymatic Hydrolysis
100%
Enzyme Activity
16%
Ethanol Production
100%
Liquefaction
16%
Maltose
16%
Maltotriose
16%
Monte Carlo Method
16%
Saccharification
33%
Waxy Corn
16%
Chemical Engineering
Amylopectin
100%
Enzymatic Hydrolysis
33%
Maltose
33%
Food Science
Waxy Corn Starch
14%