Normal Boiling Points for Organic Compounds: Correlation and Prediction by a Quantitative Structure-Property Relationship
نویسندگان
چکیده
We recently reported a successful correlation of the normal boiling points of 298 organic compounds containing O, N, Cl, and Br with two molecular descriptors.1 In the present study the applicability of these two descriptors for the prediction of boiling points for various other classes of organic compounds was investigated further by employing a diverse data set of 612 organic compounds containing C, H, N, O, S, F, Cl, Br, and I. The data set was divided into 9 subsets, and additional descriptors were sought for each subset, which, together with the gravitation index and the charged surface area of hydrogen-donor atoms, would model the boiling points. The additional descriptors were then each tested for global relevance and retained only if this was found. A final eight-parameter correlation model was thus deduced which had R2 ) 0.965 and a standard error of 15.5 K approaching the estimated average experimental error for the data set. The model appears to be general for a wide variety of organic compounds.
منابع مشابه
QSPR models to predict thermodynamic properties of some mono and polycyclic aromatic hydrocarbons (PAHs) using GA-MLR
Quantitative Structure-Property Relationship (QSPR) models for modeling and predicting thermodynamic properties such as the enthalpy of vaporization at standard condition (ΔH˚vap kJ mol-1) and normal temperature of boiling points (T˚bp K) of 57 mono and Polycyclic Aromatic Hydrocarbons (PAHs) have been investigated. The PAHs were randomly separated into 2 groups: training and test sets. A set o...
متن کاملQuantitative Modeling for Prediction of Critical Temperature of Refrigerant Compounds
The quantitative structure-property relationship (QSPR) method is used to develop the correlation between structures of refrigerants (198 compounds) and their critical temperature. Molecular descriptors calculated from structure alone were used to represent molecular structures. A subset of the calculated descriptors selected using a genetic algorithm (GA) was used in the QSPR model development...
متن کاملPrediction of boiling point and water solubility of crude oil hydrocarbons using sub-structural molecular fragments method
The quantitative structure–property relationship (QSPR) method is used to develop the correlation between structures of crude oil hydrocarbons (80 compounds) and their boiling point and water solubility. Sub-structural molecular fragments (SMF) calculated from structure alone were used to represent molecular structures. A subset of the calculated fragments selected using stepwise regression (fo...
متن کاملQSAR Prediction of Half-Life, Nondimentional Eeffective Degradation Rate Constant and Effective Péclet Number of Volatile Organic Compounds
In this work some quantitative structure activity relationship models were developed for prediction of three bioenvironmental parameters of 28 volatile organic compounds, which are used in assessing the behavior of pollutants in soil. These parameters are; half-life, non dimensional effective degradation rate constant and effective Péclet number in two type of soil. The most effective descripto...
متن کاملThe Structural Relationship Between Topological Indices and Some Thermodynamic Properties
The fact that the properties of a molecule are tightly connected to its structural characteristics is one of the fundamental concepts in chemistry. In this connection, graph theory has been successfully applied in developing some relationships between topological indices and some thermodynamic properties. So , a novel method for computing the new descriptors to construct a quantitative rela...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Journal of Chemical Information and Computer Sciences
دوره 38 شماره
صفحات -
تاریخ انتشار 1998