Development and Field Confirmation of a Mathematical Model for Amyloglucosidase/Pullulanase Saccharification

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Abstract
To formulate a mathematical model for the saccharification of corn starch hydrolysate, we used Response Surface Methodology (RSM), a computer‐supported, experimental‐design technique that defines and quantitates relationships between independent variables and responses (dependent variables). We chose a central‐composite, factorial design to explain the effect of time, initial dry‐substance, amyloglucosidase dosage and pullulanase dosage on dextrose yield, and we determined dextrose yield by High Performance Liquid Chromatography. From regression analysis of the experimental data, coefficients for a Taylor second‐order equation were calculated. To test the validity of the prediction model, we performed verification experiments at the laboratory, pilot‐plant and plant levels. In the field, the model routinely predicted glucose‐yield values with a maximum error of ± 0.2%.