Measurement and Prediction of Properties for Mixtures of Vegetable Oils + Hexane at Different Temperatures,Journal of Chemical & Engineering Data

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Measurement and Prediction of Properties for Mixtures of Vegetable Oils + Hexane at Different Temperatures
Journal of Chemical & Engineering Data ( IF 2.0 ) Pub Date : 2019-12-27 , DOI: 10.1021/acs.jced.9b00807
Carolina S. Costa ₁ , Camila G. Pereira ₁

Affiliation

The present study aimed to evaluate the effect of temperature, composition, and type of vegetable oil on the properties of mixture hexane + vegetable oil. Experimental data of densities for mixtures of vegetable oils (canola, soybean, and sunflower) with hexane were measured at temperatures between 293.15 and 323.15 K in order to evaluate the excess volume profiles of each system. Predictive and adjusted equations were used to compare the results and evaluate models. The thermodynamic properties of the mixture (excess Gibbs free energy, entropy, and enthalpy (G^ex, S^ex, and H^ex, respectively)) were determined and evaluated. All volume profiles presented a negative behavior, and the increase in this effect was observed when the temperature was increased; also, it was noted that the most unsaturated vegetable oils suffered a greater influence of temperature on their volumetric profiles. Prediction models showed good agreement with the experimental data of the literature. The G^ex profiles presented a negative behavior in all cases, while the S^ex and H^ex profiles were positive. In general, large differences were not observed between the profiles of G^ex, S^ex, and H^ex for the studied mixtures of hexane and vegetable oils.

中文翻译：

不同温度下植物油和己烷混合气的性能测定和预测

本研究旨在评估温度，组成和类型的植物油对混合己烷和植物油性能的影响。在293.15和323.15 K之间的温度下测量了植物油（低芥酸菜子，大豆和向日葵）与己烷的混合物的密度的实验数据，以评估每个系统的过量体积曲线。预测方程和调整后的方程式用于比较结果和评估模型。混合物的热力学性质（过量的吉布斯自由能，熵和焓（G^ex，S^ex和H^ex，分别））进行了确定和评估。所有的体积分布都表现出负面的行为，并且当温度升高时观察到这种效应的增加。同样，注意到大多数不饱和植物油在其体积分布上受到温度的更大影响。预测模型与文献的实验数据吻合良好。该摹^前型材在所有情况下提出了消极的行为，而小号^前和^ h^前轮廓呈阳性。通常，在G^ex，S^ex和H^ex的分布图之间未观察到很大的差异。用于研究己烷和植物油的混合物。

更新日期：2019-12-27

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