Optimization of Single Screw Extrusion Processing Variables and Soy and Rice Flour Blend Formulations Based on Physical Properties of Extrudates

P. Mitra, Srikanth Manohar Pakki, Binu Acharya, Sagar Khanvilkar
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Abstract

Extruded cereals and snacks are mainly carbohydrates. Most adults require more protein above RDA by restricting carbohydrates for many health benefits. A wide variety of soy protein-rich extrudates can be produced by blending with rice flour. However, optimum extrusion processing variables (i.e., screw speed, die temperature, and product formulations) are required for maximum retention of nutrients with desired product characteristics. The objective of this study was to optimize the extrusion operating conditions and soy flour and rice flour blend formulations for developing protein-rich cereal-like extrudates. Twenty formulations using CCRD with the combinations of soy flour content (43-77%), die temperature (123-157℃), and screw speed (250-350 rpm) were extruded using a single screw extruder. The physical properties (expansion ratio, density, porosity, hardness, crispness, color, and water solubility index) of extrudates were determined. The regression models and 3-dimensional response surface models were developed for each property of extrudates using RSM. Numerical and graphical optimizations were conducted based on the desirability to determine an optimum condition. The regression models were able to predict the physical properties of extrudates with an accuracy of 75-90%, depending on their properties. The 3-dimensional response surface models indicated that the soy flour content, die temperature, and screw speed affected the physical properties of extrudates significantly (p<0.05). Soy flour content (50-55%), die temperature (140-145℃), and screw speed (290-320 rpm) were very effective for the desired quality of soy flour and rice flour blend extrudates. The regression models were able to predict the physical properties of extrudates with an accuracy of 75-90 The optimum condition is expected to be very useful for soy protein and rice flour blend extruded cereal-like product development commercially within the experimental range. The optimum condition is expected to be very useful for soy protein and rice flour blend extruded cereal-like product development commercially within the experimental range.
基于挤出物性的单螺杆挤出工艺参数及豆米粉混合配方优化
挤压谷物和零食主要是碳水化合物。大多数成年人需要更多的蛋白质高于RDA,通过限制碳水化合物来获得许多健康益处。通过与米粉混合,可以生产出各种富含大豆蛋白的挤出物。然而,最佳的挤出加工变量(即,螺杆速度,模具温度和产品配方)需要最大限度地保留所需产品特性的营养成分。本研究的目的是优化挤出工艺条件和豆粉与米粉的混合配方,以制备富含蛋白质的类谷类挤出物。在单螺杆挤出机上,用CCRD在豆粉含量(43 ~ 77%)、模具温度(123 ~ 157℃)和螺杆转速(250 ~ 350 rpm)的组合下挤出20个配方。测定了挤出物的物理性能(膨胀率、密度、孔隙率、硬度、脆度、颜色、水溶性指数)。利用RSM方法建立了挤出物各项性能的回归模型和三维响应面模型。在确定最优条件的基础上,进行了数值和图形优化。回归模型能够预测挤出物的物理性质,准确度为75-90%,具体取决于它们的性质。三维响应面模型表明,豆粉含量、模具温度和螺杆转速对挤出物的物理性能有显著影响(p<0.05)。豆粉含量(50-55%)、模具温度(140-145℃)和螺杆转速(290-320转/分)对豆粉和米粉混合挤出物的理想质量非常有效。该回归模型对挤出物性的预测精度在75 ~ 90之间,期望在实验范围内为大豆蛋白与米粉混合挤出类谷物产品的商业化开发提供有益的条件。该最佳工艺条件可为实验范围内大豆蛋白与米粉混合膨化类谷物产品的商业化开发提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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