首页> 外文会议>International Symposium on Supercritical Fluids Tome 2: SCF Properties Reactions; 20030428-20030430; Versailles; FR >EVALUATION OF SOME GC METHODS TO PREDICT THE CRITICAL PROPERTIES OF AROMA COMPOUNDS
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EVALUATION OF SOME GC METHODS TO PREDICT THE CRITICAL PROPERTIES OF AROMA COMPOUNDS

机译:预测芳香族化合物关键特性的某些气相色谱方法的评估

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In this work, it presents a evaluation of the latest and well-know Group-Contribution Methods in order to predict the normal boiling temperature of some aroma compounds. The elected Methods were: Joback-Reid, Joback-Marrero-Pardillo, Constantinou-Gani, Marrero-Gani and Marrero-Pardillo, with their last modifications. Eight compounds were selected for this work: α-pinene, d-limonene, 1,8-cineole, anethole, menthone, thymol, isoamyl acetate and eugenol, in agreement to available information of some recognized databases. From this evaluation, it selected the methods with the best accuracy to predict the critical properties (T_c, P_c) of elected compounds. The acentric factor and critical compressibility factor were also calculated using these critical values and their experimental data of vapor pressure. With these data, it publicities an actualized and consistent compilation of critical properties for these compounds. Finally, it recommends using the Marrero-Gani GC Method to predict the critical properties of any sesquiterpene or terpene presents in a essential oil. Because, it demonstrated its better accuracy and large diversity of chemical groups required for the representation of chemical structure of elected compounds.
机译:在这项工作中,它提供了对最新的和众所周知的组贡献方法的评估,以预测某些香气化合物的正常沸腾温度。当选的方法为:乔巴克·里德(Joback-Reid),乔巴克(Joback-Marrero-Pardillo),君士坦丁努·加尼(Constantinou-Gani),玛勒罗·加尼(Marrero-Gani)和玛勒罗·帕迪略(Marrero-Pardillo),及其最后修改。根据一些公认数据库的可用信息,选择了八种化合物用于这项工作:α-pine烯,d-柠檬烯,1,8-桉树脑,茴香脑,薄荷酮,百里酚,乙酸异戊酯和丁子香酚。从该评估中,它选择了最准确的方法来预测所选化合物的关键性质(T_c,P_c)。还使用这些临界值及其蒸气压的实验数据来计算偏心系数和临界压缩系数。利用这些数据,它宣传了这些化合物关键特性的实际一致的汇编。最后,它建议使用Marrero-Gani GC方法来预测精油中任何倍半萜或萜烯的关键性质。因为,它证明了其更好的准确性,以及代表被选化合物的化学结构所需的大量化学基团。

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