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Development of textured defatted sunflower meal by extrusion using response surface methodology

机译:响应面法通过挤压技术开发脱脂的脱脂向日葵粕

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摘要

Sunflower (PSH 569) was used to obtain textured defatted meal. Proximate analysis, water absorption index (WAI), water solubility index (WSI), fat absorption capacities (FAC), foaming capacity (FC), and bulk density (BD) were determined. The objective of the study was the optimization of extrusion conditions for production of textured defatted sunflower meal using response surface methodology (RSM) by evaluating functional properties. It was dried, grinded, and sieved to eliminate hull and fibre. Numerical optimization provided eight solutions with desirability value varying from 0.81 to 0.82. Range of predicted values of FAC (80.96–90.49), WHC (1.95–2.12), WSI (3.22–3.36), WAI (2.84–3.08), bulk density (0.31–0.36), and foaming capacity (14.39–16.30) were used for numerical optimization. Best extrusion conditions were 16.36% feed moisture, 300 r.p.m. screw speed, and 149.40 °C barrel temperature. Textured sunflower defatted meal was prepared using the above optimized conditions.ud
机译:向日葵(PSH 569)用于获得脱脂的粗粉。测定最近的分析,吸水指数(WAI),水溶性指数(WSI),脂肪吸收能力(FAC),发泡能力(FC)和堆积密度(BD)。这项研究的目的是通过评估功能特性,使用响应表面方法(RSM)优化生产膨化脱脂向日葵粕的挤出条件。将其干燥,研磨和筛分以消除船壳和纤维。数值优化提供了八个解决方案,其期望值在0.81至0.82之间变化。 FAC(80.96–90.49),WHC(1.95–2.12),WSI(3.22–3.36),WAI(2.84–3.08),堆积密度(0.31–0.36)和发泡能力(14.39–16.30)的预测值范围分别为用于数值优化。最佳挤出条件是进料水分为16.36%,转速为300r.p.m。螺杆转速和149.40°C机筒温度。使用上述优化条件制备了向日葵脱脂的粗粉。

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