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Modeling thermophysical properties of food under high pressure.

机译:在高压下模拟食物的热物理性质。

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A set of well-known generic models to predict the thermophysical properties of food from its composition at atmospheric conditions was adapted to work at any pressure. The suitability of the models was assessed using data from the literature for four different food products, namely tomato paste, potato, pork, and cod. When the composition of the product considered was not known, an alternative was proposed if some thermal data at atmospheric conditions were available. Since knowledge on the initial freezing point and ice content of food are essential for the correct prediction of its thermal properties, models for obtaining these properties under pressure were also included. Our results showed that good predictions under pressure, accurate enough for most engineering calculations can be made, either from composition data or using known thermal data of the food considered at atmospheric conditions. All the equations and coefficients needed to construct the models are given throughout the text, thus readers can compose their own routines. However, these routines can also be downloaded free at http://www.if.csic.es/programas/ifiform.htm as executable programs running in Windows.
机译:一组众所周知的通用模型可以根据其在大气条件下的成分预测食物的热物理性质,适用于在任何压力下工作。使用来自文献的数据对四种不同食品(即番茄酱,土豆,猪肉和鳕鱼)的数据评估了模型的适用性。当所考虑产品的成分未知时,如果可获得大气条件下的一些热数据,则提出替代方案。由于对食物的初始冰点和冰含量的了解对于正确预测其热性质至关重要,因此还包括在压力下获得这些性质的模型。我们的结果表明,可以根据组成数据或使用已知大气环境中食物的热数据,对压力进行良好的预测,对于大多数工程计算而言都足够准确。全文中给出了构建模型所需的所有方程式和系数,因此读者可以编写自己的例程。但是,这些例程也可以作为Windows中运行的可执行程序从http://www.if.csic.es/programas/ifiform.htm免费下载。

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