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Optimization of Progressive Freeze Concentration on Apple Juice via Response Surface Methodology

机译:响应表面方法论优化苹果汁的逐步冻结浓度

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In this work,a progressive freeze concentration(PFC)system was developed to concentrate apple juice and was optimized by response surface methodology(RSM).The effects of various operating conditions such as coolant temperature,circulation flowrate,circulation time and shaking speed to effective partition constant(K)were investigated.Five different level of central composite design(CCD)was employed to search for optimal concentration of concentrated apple juice.A full quadratic model for K was established by using method of least squares.A coefficient of determination(R~2)of this model was found to be 0.7792.The optimum conditions were found to be coolant temperature =-10.59 °C,circulation flowrate = 3030.23 mL/min,circulation time = 67.35 minutes and shaking speed = 30.96 ohm.A validation experiment was performed to evaluate the accuracy of the optimization procedure and the best K value of 0.17 was achieved under the optimized conditions.
机译:在这项工作中,开发了一种渐进式冻浓度(PFC)系统以浓缩苹果汁,并通过响应面法(RSM)进行优化。各种操作条件如冷却剂温度,循环流量,循环时间和摇动速度有效调查分区常数(k)。采用不同水平的中央复合设计(CCD)来搜索最佳浓缩苹果汁的浓度。通过使用最小二乘法建立k的全准二次模型。确定系数(发现该模型的R〜2)为0.7792.发现最佳条件是冷却剂温度= -10.59°C,循环流量= 3030.23ml / min,循环时间= 67.35分钟和振动速度= 30.96欧姆。a验证进行实验以评估优化程序的准确性,并且在优化条件下实现了0.17的最佳k值。

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