Norm indexes for predicting enthalpy of vaporization of organic compounds at the boiling point

被引:17
作者
Jia, Qingzhu [1 ]
Yan, Xue [1 ]
Lan, Tian [2 ]
Yan, Fangyou [2 ]
Wang, Qiang [2 ]
机构
[1] Tianjin Univ Sci & Technol, Tianjin Marine Environm Protect & Restorat Techno, Sch Marine & Environm Sci, TEDA, 13St 29, Tianjin 300457, Peoples R China
[2] Tianjin Univ Sci & Technol, Sch Chem Engn & Mat Sci, TEDA, 13St 29, Tianjin 300457, Peoples R China
关键词
Norm indexes; Enthalpy of vaporization; Boiling point; QSPR; Organic compounds; QSAR MODELS; EXTERNAL VALIDATION; PURE; TEMPERATURE; POLLUTANTS; METRICS; HEAT; SET;
D O I
10.1016/j.molliq.2019.03.036
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Enthalpy of vaporization (Delta H-v) is an important physicochemical property and has been widely used in chemical industry and process design. In this work, based on the concept of norm index proposed by our group, a QSPR model was developed to predict Delta H-v at the boiling point for 13 kinds of organic compounds including chain and cyclic hydrocarbons, alcohols, ketones, carboxylic acids and amines etc. The results showed that this model had satisfactory predictive performance with the squared correlation coefficient R-2 of 0.9503, the Fisher's criterion F of 378.84 and the average absolute relative deviation of 3.17%. The internal validation, external validation and applicability domain analysis results indicated the robustness and reliability of this model. Moreover, comparison results demonstrated that this model performed well both in accuracy and stability. The satisfactory results further suggested that the norm index can be applied to the calculation of Delta H-v for organic compounds. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:484 / 488
页数:5
相关论文
共 50 条
  • [41] Predicting the octanol solubility of organic compounds
    Admire, Brittany
    Yalkowsky, Samuel H.
    JOURNAL OF PHARMACEUTICAL SCIENCES, 2013, 102 (07) : 2112 - 2119
  • [42] Molecular kinetic aspects of vaporization of volatile coordination compounds with organic ligands
    Lukashov, V. V.
    Makarov, M. S.
    Makarova, S. N.
    Igumenov, I. K.
    JOURNAL OF STRUCTURAL CHEMISTRY, 2017, 58 (08) : 1484 - 1492
  • [43] QSPR prediction of N-boiling point and critical properties of organic compounds and comparison with a group-contribution method
    Sola, Davide
    Ferri, Ada
    Banchero, Mauro
    Manna, Luigi
    Sicardi, Silvio
    FLUID PHASE EQUILIBRIA, 2008, 263 (01) : 33 - 42
  • [44] Estimating the physicochemical properties of polyhalogenated aromatic and aliphatic compounds using UPPER: Part 1. Boiling point and melting point
    Admire, Brittany
    Lian, Bo
    Yalkowsky, Samuel H.
    CHEMOSPHERE, 2015, 119 : 1436 - 1440
  • [45] Composite group vector space method for estimating melting and boiling point of pure organic compound
    Wei W.
    Wang Z.
    Yin Y.
    Han J.
    Xu W.
    Korean Journal of Chemical Engineering, 2008, 25 (3) : 562 - 567
  • [46] New method for determination of vaporization and sublimation enthalpy of aromatic compounds at 298.15 K using solution calorimetry technique and group-additivity scheme
    Solomonov, Boris N.
    Varfolomeev, Mikhail A.
    Nagrimanov, Ruslan N.
    Novikov, Vladimir B.
    Buzyurov, Aleksey V.
    Fedorova, Yulia V.
    Mukhametzyanov, Timur A.
    THERMOCHIMICA ACTA, 2015, 622 : 88 - 96
  • [47] A molecular structure based model for predicting surface tension of organic compounds
    Delgado, E. J.
    Diaz, G. A.
    SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2006, 17 (05) : 483 - 496
  • [48] A QSAR Model for Predicting the Anti HIV-1 Activity of TIBO Derivatives Using the Norm Indexes
    Li, Lei
    Yan, Fangyou
    Xu, Xiangying
    Jia, Qingzhu
    Wang, Qiang
    Ma, Peisheng
    BULLETIN OF THE KOREAN CHEMICAL SOCIETY, 2016, 37 (06) : 923 - 930
  • [49] QSPR study on normal boiling point of acyclic oxygen containing organic compounds by radial basis function artificial neural network
    Jin, Liangjie
    Bai, Peng
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2016, 157 : 127 - 132
  • [50] Predicting thermal decomposition temperatures of imidazolium-based energetic ionic liquids using norm indexes
    Li Ding
    Xiaowei Lu
    Weijia Duan
    Yong Pan
    Xin Zhang
    Chi-Min Shu
    Journal of Thermal Analysis and Calorimetry, 2023, 148 : 4905 - 4912