Freezing of Solute-Laden Aqueous Solutions: Kinetics of Crystallization and Heat- and Mass-Transfer-Limited Model.

Freezing of Solute-Laden Aqueous Solutions: Kinetics of Crystallization and Heat- and Mass-Transfer-Limited Model.
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DOI:
10.3390/bioengineering9100540
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发表时间:
2022-10-10
期刊:
Bioengineering (Basel, Switzerland)
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在先前的一项研究之后,我们使用差示扫描量热仪(DSC)重新检测了12种不同的预成核含溶质水溶液在以5K/min的速度冷冻时的熔化潜热,并将其与溶液中初始溶解的固体或溶质的量相关联。一般来说,正如先前的研究中所观察到的,随着溶解的固体或溶质比例的增加,观察到DSC测量的热释放量(与纯水的335 mJ/mg相比)有所减少。此外,通过在1K/min、5K/min和20K/min的速度下进行额外的实验,还获得了三种有代表性的生物介质中冰结晶的动力学。然后,基于水 - NaCl二元溶液的相图以及一个改进的类似阿夫拉米动力学模型,开发了一个冰结晶模型,并将其与实验数据进行拟合。同时,还提出了一个小容器中盐溶液冷冻的传热传质模型,以解释冷却速率以及溶质浓度对测量的冷冻潜热的影响。这个基于扩散的传热传质模型被无量纲化,使用数值方法求解,并与实验结果进行了比较。模拟结果表明,传热传质模型能够预测(±10%)实验结果。
Following an earlier study, we reexamined the latent heat of fusion during freezing at 5 K/min of twelve different pre-nucleated solute-laden aqueous solutions using a Differential Scanning Calorimeter (DSC) and correlated it with the amount of initially dissolved solids or solutes in the solution. In general, a decrease in DSC-measured heat release (in comparison to that of pure water, 335 mJ/mg) was observed with an increasing fraction of dissolved solids or solutes, as observed in the earlier study. In addition, the kinetics of ice crystallization was also obtained in three representative biological media by performing additional experiments at 1, 5 and 20 K/min. A model of ice crystallization based on the phase diagram of a water–NaCl binary solution and a modified Avrami-like model of kinetics was then developed and fit to the experimental data. Concurrently, a heat and mass transfer model of the freezing of a salt solution in a small container is also presented to account for the effect of the cooling rate as well as the solute concentration on the measured latent of freezing. This diffusion-based model of heat and mass transfer was non-dimensionalized, solved using a numerical scheme and compared with experimental results. The simulation results show that the heat and mass transfer model can predict (± 10%) the experimental results.
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