淡水鱼低温相变区热特性参数预测模型的建立

    Modeling for the thermal parameters of freshwater fish muscles during low temperature phase transition

    • 摘要: 为了给淡水鱼冷冻冷藏加工、品质控制及设备开发提供基础数据,应用差示扫描量热仪(DSC)测定鲢鱼、鳙鱼、鲤鱼以及草鱼背部和腹部肌肉在低温相变区(-40~10℃)的冰点、表观比热和热焓,建立淡水鱼低温相变区热特性参数预测模型。结果表明,建立的基于淡水鱼肌肉水溶性成分含量的线性组合冰点预测模型、低温相变区表观比热的两段式预测模型和推导的淡水鱼肌肉热焓预测模型都有很高的拟合精度。鱼肌肉中含水率、可溶性固形物含量、蛋白质含量和脂肪含量等对冰点和冰点以上的表观比热有不同程度影响,其中可溶性固形物和含水率分别对冰点和常温表观比热影响最大,而热焓和冰点以下的表观比热仅是温度的函数。

       

      Abstract: Abstract: The freezing point, apparent specific heat and enthalpy of back and belly muscles from silver carp, bighead carp, common carp and grass carp during low temperature phase transition range (-40~10℃) were determined by differential scanning calorimetry (DSC). Predictive models were established in order to offer theoretical foundations for freshwater fish processing, quality control and equipment design. All predictive models were well established for freshwater fish muscles during low temperature phase transition. The freezing point and apparent specific heat above the freezing point were influenced in different degrees by water content, soluble solid content, protein content and fat content. Soluble solid content and water content had significant effects on the freezing point and apparent specific heat respectively. The enthalpy and apparent specific heat below the freezing point was mainly influenced by temperature.

       

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