2012
DOI: 10.1007/s11947-011-0764-7
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Changes in Moisture, Protein, and Fat Content of Fish and Rice Flour Coextrudates during Single-Screw Extrusion Cooking

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Cited by 40 publications
(24 citation statements)
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“…Tumuluru et al. studies on extrusion of high‐protein foods indicated that higher levels of proteins in the food mix can reduce the expansion and increase the hardness values of food pellets. The same authors indicated that the presence of higher amounts of starch in the biomass can increase the expansion ratio thereby reducing the density of the extrudates.…”
Section: Discussionmentioning
confidence: 99%
“…Tumuluru et al. studies on extrusion of high‐protein foods indicated that higher levels of proteins in the food mix can reduce the expansion and increase the hardness values of food pellets. The same authors indicated that the presence of higher amounts of starch in the biomass can increase the expansion ratio thereby reducing the density of the extrudates.…”
Section: Discussionmentioning
confidence: 99%
“…The lower density values observed at high-moisture content of ground biomass can be improved by adding protein-based binders. Tumuluru et al (2013) and Shankar and Bandyopadhyay (2004) in their studies on extrusion of fish and rice flour indicated that when protein is extruded at temperature of 100°C, undergoes denaturation and increases the hardness of the extrudates.…”
Section: 3 Unit Bulk and Tapped Density (Kg/m3)mentioning
confidence: 99%
“…GAs have been successfully used for highly complex and nonlinear systems where the objective is to either maximize or minimize function [28,30]. Shankar and Bandyopadhyay [32], Shankar et al [33], and Tumuluru et al [34] successfully used GA to optimize the extrusion process conditions for physical properties, volumetric flow rates, and proximate composition of the extrudates during single screw extrusion. In the present study, the GA software developed by Shankar and Bandyopadhyay [32], and Shankar et al [33] in C and VC++ language was used.…”
Section: Experimental Data Analysismentioning
confidence: 99%
“…Response surface models developed for the briquette quality attributes were used as the objective functions to find the optimum process conditions which can minimize briquette moisture content and maximize density-1, density-2, and DR. In the present problem, a fixed population of 100, fixed number of iterations of 100 (which is the stopping criteria of the algorithm), and crossover and mutation probabilities of 0.98 and 0.02 were used [34].…”
Section: Experimental Data Analysismentioning
confidence: 99%