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Millet-legume blended extrudates characteristics and process optimization using RSM
Authors:Subir K Chakraborty  Daya S SinghBaburao K Kumbhar  Shalini Chakraborty
Affiliation:a Department of Food Technology, Bundelkhand University, Jhansi, Uttar Pradesh, India
b Department of Farm Engineering, Institute of Agricultural Sciences, Benaras Hindu University, Varanasi, Uttar Pradesh, India
c Department of Post Harvest Process and Food Engineering, G.B.P.U.A.T., Pantnagar, Uttrakhand, India
d Directorate of Extension Services, R.V.S. Agricultural University, Gwalior, Madhya Pradesh, India
Abstract:Designed experiments were conducted to prepare extrudates from different millet-legume blend ratios (BR) of varying moisture content (MC); the extruder was operated at varying die head temperature (DHT), barrel temperature (BT), and screw speed (SS). Second order polynomial models were developed using response surface methodology (RSM) to understand the effect of the variables on density, sectional expansion index (SEI), water absorption index (WAI) and crispness of extrudates.The MC had predominant effect upon SEI, WAI and crispness, while density was most susceptible to the variations in SS. All the models were found to be statistically valid. Optimum processing condition generated from the models was: MC, 23.2%w.b.; BR, 19.9%legume; DHT, 187 °C; BT, 121.1 °C and SS, 123 rpm. The predicted responses in terms of density, SEI, WAI and crispness were 0.52 kg/m3, 5.1, 9.4 and 45, respectively. The predicted values registered non-significant (p < 0.01) difference from experimental values.
Keywords:Extrusion  Density  Water absorption index  Sectional expansion index  Crispness  Optimization
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