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DOI: 10.1094/CC-82-0574
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ARTICLE
SME-Arrhenius Model for WSI of Rice Flour in a Twin-Screw Extruder.
Hanwu
Lei (1,2), R. Gary Fulcher (2,3), Roger Ruan (1,2,4), and Bernhard van
Lengerich (5). (1) Department of Biosystems and Agricultural Engineering,
University of Minnesota, St. Paul, MN 55108. (2) Department of Food Science and
Nutrition, University of Minnesota, St. Paul, MN 55108. (3) Department of Food
Science, University of Manitoba, Winnipeg, MB R3T 2N2, Canada. (4) Corresponding
author. Also Yangtz Scholar Distinguished Guest Professor, Nanchang University.
Phone: 612-625-1710. Fax: 612-624-3005. E-mail: <ruanx001@umn.edu> (5) General Mills, Inc., 9000 Plymouth
Ave. N., Golden Valley, MN 55427. Cereal Chem. 82(5):574-581. Accepted May 13,
2005. Copyright 2005 AACC International, Inc.
We have modeled a rice extrusion process focusing specifically on the starch
gelatinization and water solubility index (WSI) as a function of extrusion
system and process parameters. Using a twin-screw extruder, we examined in
detail the effect of screw speed (350–580 rpm), barrel temperature, different
screw configurations, and moisture content of rice flour on both extrusion
system parameters (product temperature, specific mechanical energy [SME], and
residence time distribution [RTD]) and extrudate characteristics (expansion,
density, WSI, and water absorption index [WAI]). Changes in WSI were monitored
to reveal a relationship between the reaction kinetics during extrusion and WSI.
Reaction kinetics models were developed to predict WSI during extrusion. WSI
followed a pseudo first-order reaction kinetics model. It became apparent that
the rate constant is a function of both temperature and SME. We have developed
an adaptation of the kinetic model based on the Arrhenius equation that shows
better correlations with SME and distinguishes data from different screw
configurations. This adaptation of the model improved predictability of WSI,
thereby linking the extrusion conditions with the extruded product properties.
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