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Predictive models for physical properties of fats, oils, and biodiesel fuels
Fluid Phase Equilibria ( IF 2.8 ) Pub Date : 2020-03-01 , DOI: 10.1016/j.fluid.2019.112440
Ericsem Pereira , Antonio J.A. Meirelles , Guilherme J. Maximo

Abstract Physicochemical properties determine in large extent the application of fats and oils, considering products’ formulation, and the design of equipment and processes in the food industry. These lipids have also been highly significant in the development of the bioenergy industry due to the increasing demand for biodiesel worldwide, whose physical properties should attend strict standards specifications. Fats, oils, and biodiesel are multicomponent systems which present complex phase equilibrium profile. Thus, the phase equilibrium behavior of these lipids plays a crucial role in their physicochemical properties. In this context, several thermodynamic modeling approaches have been used to predict the behavior of lipids and design products with desired properties. In this paper, we critically review and summarize the current state of knowledge of predictive modeling approaches used for the calculation of physicochemical properties of fats, oils, and biodiesel with a special focus on properties related to product design, such as melting/crystallization behavior and viscosity. The most remarkable publications dealing with predictive modeling are analyzed, and the underlying thermodynamic concepts used in those approaches, as well as their limitations, are assessed. Finally, we discuss future perspectives and indicate challenges to improve the research area.

中文翻译:

脂肪、油和生物柴油燃料物理特性的预测模型

摘要 在食品工业中,从产品的配方、设备和工艺的设计等方面考虑,理化性质在很大程度上决定了油脂的应用。由于全球对生物柴油的需求不断增加,这些脂质在生物能源行业的发展中也非常重要,生物柴油的物理特性应符合严格的标准规范。脂肪、油和生物柴油是呈现复杂相平衡曲线的多组分系统。因此,这些脂质的相平衡行为对其理化性质起着至关重要的作用。在这种情况下,几种热力学建模方法已被用于预测脂质的行为并设计具有所需特性的产品。在本文中,我们批判性地审查和总结了用于计算脂肪、油和生物柴油物理化学特性的预测建模方法的当前知识状态,特别关注与产品设计相关的特性,例如熔化/结晶行为和粘度。分析了涉及预测建模的最杰出的出版物,并评估了这些方法中使用的基本热力学概念及其局限性。最后,我们讨论了未来的前景并指出了改进研究领域的挑战。分析了涉及预测建模的最杰出的出版物,并评估了这些方法中使用的基本热力学概念及其局限性。最后,我们讨论了未来的前景并指出了改进研究领域的挑战。分析了涉及预测建模的最杰出的出版物,并评估了这些方法中使用的基本热力学概念及其局限性。最后,我们讨论了未来的前景并指出了改进研究领域的挑战。
更新日期:2020-03-01
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