ESTIMATION METHOD OF EXPERIMENTALLY UNKNOWN CRITICAL PARAMETERS AND ACENTRIC FACTOR FOR MULTIATOMIC COMPOUNDS
DOI:
https://doi.org/10.18198/j.ind.gases.2014.0714Keywords:
Thermodynamic properties, Molecular structure, Critical parameters, Acentric factorAbstract
Each year there are new multiatomic chemical compounds synthesized. Their implication into different technological processes are restricted by lack of the reliable experimental p,v,T-data for these compounds. To predict their thermodynamic properties, i.e. critical temperatures, pressures, volumes and acentric factor, the QSPR (Quantitative Structure-Property Relationship) method can be used. Molecular structure description was performed using Simplex Representation of Molecular Structure (SiRMS). The correlations was developed using non-linear Random Forest method. The SiRMS approach shown to be perspective investigation and estimation method for thermodynamic properties of organic compounds. According to more than sufficient statistical characteristic sofmodels as to simple des-criptors’ interpretation, simplex method could be recommended as the instrument for the critical properties investigation and prediction.
References
Poling B.E., Prausnitz J.M., O'Connell L.P. (2001). The Properties of Gases and Liquids. — N.Y.: McGraw-Hill. — 707 p.
Kazakov A., Chris D. Muzny, Diky V. et al. (2010). Predictive correlations based on large experimental datasets: Critical constants for pure compounds// J. Fluid Phase Equilibria. — V. 298. — No. 1. — P. 131-142.
Godavarthy S., Robert L. Robinson Jr., Khaled A.M. Gasem. (2008). Improved structure-property relationship models for prediction of critical properties// J. Fluid Phase Equilibria. — V. 264. — No. 1-2. — P. 122-136.
[Electron resource] NIST WebBook: http://webbook.nist. gov/ chemistry.
Kuz’min V. E., Artemenko A.G., Muratov E.N. et al. (2010). Virtual screening and molecular design based on hierarchical QSAR technology// Recent Advances in QSAR Studies. — Springer science+. — P. 127-176.
Kuz’min V. E., Artemenko A.G., Muratov E.N. (2008). Hierarchical QSAR technology based on the Simplex representation of molecular structure// J. Comput. Aided Mol. Des. — V. 22. — No. 6-7. — P. 403-421.
Kuz’min V.E., Muratov E.N., Artemenko A.G et al. (2008). The effects of characteristics of substituents on toxicity of the nitroaromatics: HiT QSAR study// J. Comput. Aided Mol. Des. — V. 22. — No. 10. — P. 747-759.
Kuz’min V.E., Artemenko A.G., Muratov E.N. et al. (2007). QSAR analysis of anti-coxsackievirus B3 nancy activity of 2-amino-3-nitropyrazole[1,5-a] pyrimidines by means of simplex approach// Antivir Res. — V. 74. — No. 3. — P. A49-A50.
Jolly W.L., Perry W.B. (1973). Estimation of atomic charges by an electronegativity equalization procedure calibration with core binding energies// J. Am. Chem. Soc. — V. 95. — No. 17. — P. 5442 – 5450.
Breiman L. (2001). Random Forests// Machine Learning. — V. 45. — No. 1. — P. 5-32.
Polishchuk P.G., Muratov E.N., Artemenko A.G. et al. (2009). Application of random forest approach to QSAR prediction of aquatic toxicity// J. Chem. Inf. Model. — V. 49. — No. 11. — P. 2481-2488.
Golbraikh A., Tropsha A. (2000). Predictive QSAR modeling based on diversity sampling of experimental datasets for the training and test set selection// Molecular Diversity. — V. 5. — No. 4. — P. 231-243.
Kline A.A., Zei D.A., Whitten C.R. et al. (2011). AIChE/ DIPPR® Project 911. Amer. Inst. of Chemical Engineers.
Shansheng Y., Wencong L., Nianyi C., Qiannan H. (2005). Support vector regression based QSPR for the prediction of some physicochemical properties of alkyl benzenes// J. Mol. Struct. — V. 719. — No. 1. — P. 119-127.
[Electron resource] DIPPR database: http://www.aiche.org/dippr.
[Electron resource] Сodessa descriptors:http://www.semichem.com/codessa.
Downloads
Issue
Section
License
LICENSE AGREEMENT
After receiving an article for publication as required revision scientometric databases each author directs the license agreement on the assignment and transfer of the management of copyright. Signatures of the author (s) it is desirable to seal the personnel department of the institution where the author works (authors), or the seal of the Faculty.
Revision refers to the authors one layout for proofreading. Permissible only those fixes that result in compliance with the layout of the original text of the article. Significant changes are not permitted. Layout should be sent to the editorial office within days of receipt.