{"title":"蒸汽压预测的TRC-QSPR方法分析与改进","authors":"Inga Paster, N. Brauner, M. Shacham","doi":"10.2174/1874396X01105010029","DOIUrl":null,"url":null,"abstract":"Various aspects associated with the use of the TRC-QSPR method (Shacham et al., Ind. Eng. Chem. Res. 49, 900-912, 2010, Ref. (1)) for the prediction of vapor pressure are investigated using a test set of 12 compounds from the n- alkane series. This test set is used to check the consistency of the parameter values of the Wagner and Riedel equations and the resulting vapor pressure values in the full range between the triple point and critical point. Inconsistency has been detected in the parameters of the commonly used version of the Riedel equation as well as the calculated vapor pressure values near the critical point, TR >0.9. Vapor pressures prediction studies are carried out for the cases of interpolation, short and long range extrapolation and using either the acentric factor (�), or number of C atoms (nC ), or the VEA1 descriptor in the TRC-QSPR equation. It is concluded that the prediction error is the lowest and within the experimental error limits over the entire temperature range, using the Wagner's equation andwithin the TRC-QSPR framework. Replacingby nC or by the descriptor VEA1 increases the prediction error, however good prediction accuracy is retained in the regions where experimental data are available for the predictive compounds. It is demonstrated that reliable vapor pressure predictions can be obtained using only nC for characterization of the target compound.","PeriodicalId":238681,"journal":{"name":"The Open Thermodynamics Journal","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analysis and Refinement of the TRC-QSPR Method for Vapor Pressure Prediction\",\"authors\":\"Inga Paster, N. Brauner, M. Shacham\",\"doi\":\"10.2174/1874396X01105010029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Various aspects associated with the use of the TRC-QSPR method (Shacham et al., Ind. Eng. Chem. Res. 49, 900-912, 2010, Ref. (1)) for the prediction of vapor pressure are investigated using a test set of 12 compounds from the n- alkane series. This test set is used to check the consistency of the parameter values of the Wagner and Riedel equations and the resulting vapor pressure values in the full range between the triple point and critical point. Inconsistency has been detected in the parameters of the commonly used version of the Riedel equation as well as the calculated vapor pressure values near the critical point, TR >0.9. Vapor pressures prediction studies are carried out for the cases of interpolation, short and long range extrapolation and using either the acentric factor (�), or number of C atoms (nC ), or the VEA1 descriptor in the TRC-QSPR equation. It is concluded that the prediction error is the lowest and within the experimental error limits over the entire temperature range, using the Wagner's equation andwithin the TRC-QSPR framework. Replacingby nC or by the descriptor VEA1 increases the prediction error, however good prediction accuracy is retained in the regions where experimental data are available for the predictive compounds. It is demonstrated that reliable vapor pressure predictions can be obtained using only nC for characterization of the target compound.\",\"PeriodicalId\":238681,\"journal\":{\"name\":\"The Open Thermodynamics Journal\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Open Thermodynamics Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/1874396X01105010029\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Open Thermodynamics Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1874396X01105010029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
与使用TRC-QSPR方法相关的各个方面(Shacham et al., Ind. Eng.;化学。Res. 49, 900-912, 2010, Ref.(1))用12个正构烷烃系列化合物的测试集对蒸汽压的预测进行了研究。该试验装置用于检验瓦格纳方程和里德尔方程的参数值和所得蒸汽压值在三相点和临界点之间全范围内的一致性。常用版本的Riedel方程参数不一致,在临界点附近计算的蒸汽压值TR >0.9。蒸汽压预测研究是在插值、短期和长期外推的情况下进行的,并使用离心因子(_)或C原子数(nC),或在TRC-QSPR方程中的VEA1描述符。在整个温度范围内,采用Wagner方程和TRC-QSPR框架,预测误差最低,且在实验误差范围内。用nC或描述符VEA1替代会增加预测误差,但在可获得预测化合物实验数据的区域仍保持良好的预测精度。结果表明,仅使用nC就可以获得可靠的蒸汽压预测,以表征目标化合物。
Analysis and Refinement of the TRC-QSPR Method for Vapor Pressure Prediction
Various aspects associated with the use of the TRC-QSPR method (Shacham et al., Ind. Eng. Chem. Res. 49, 900-912, 2010, Ref. (1)) for the prediction of vapor pressure are investigated using a test set of 12 compounds from the n- alkane series. This test set is used to check the consistency of the parameter values of the Wagner and Riedel equations and the resulting vapor pressure values in the full range between the triple point and critical point. Inconsistency has been detected in the parameters of the commonly used version of the Riedel equation as well as the calculated vapor pressure values near the critical point, TR >0.9. Vapor pressures prediction studies are carried out for the cases of interpolation, short and long range extrapolation and using either the acentric factor (�), or number of C atoms (nC ), or the VEA1 descriptor in the TRC-QSPR equation. It is concluded that the prediction error is the lowest and within the experimental error limits over the entire temperature range, using the Wagner's equation andwithin the TRC-QSPR framework. Replacingby nC or by the descriptor VEA1 increases the prediction error, however good prediction accuracy is retained in the regions where experimental data are available for the predictive compounds. It is demonstrated that reliable vapor pressure predictions can be obtained using only nC for characterization of the target compound.