1
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Development of New Algorithm for Aniline Point Estimation of Petroleum Fraction. Processes (Basel) 2019. [DOI: 10.3390/pr7120912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
The aniline point (AP) is an important physical property of a petroleum fraction. The AP gives an indication of the aromatic hydrocarbon content in a hydrocarbon mixture and can also be an indicator of the ignition point of a diesel fraction. In this study, common estimation methods were introduced and evaluated, and their limitations were analyzed. Multiple linear regression was used in constructing a quantitative function to solve for the AP using the average boiling point and specific gravity. The iterative modification algorithm of the ternary interaction algorithm was used to obtain the predicted value of the petroleum fraction AP, and the proposed algorithm was tested using 127 actual petroleum fractions. The average estimation deviation of the proposed method was 3.55%; hence, compared to the commonly used estimation methods, the prediction accuracy was significantly improved. This method offers important practical value in the calculation of the petroleum fraction AP and other petroleum fraction properties, thereby providing reference significance.
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2
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3
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Sun F, Yu Q, Zhu J, Lei L, Li Z, Zhang X. Measurement and ANN prediction of pH-dependent solubility of nitrogen-heterocyclic compounds. CHEMOSPHERE 2015; 134:402-407. [PMID: 25985098 DOI: 10.1016/j.chemosphere.2015.04.092] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2014] [Revised: 04/22/2015] [Accepted: 04/28/2015] [Indexed: 06/04/2023]
Abstract
Based on the solubility of 25 nitrogen-heterocyclic compounds (NHCs) measured by saturation shake-flask method, artificial neural network (ANN) was employed to the study of the quantitative relationship between the structure and pH-dependent solubility of NHCs. With genetic algorithm-multivariate linear regression (GA-MLR) approach, five out of the 1497 molecular descriptors computed by Dragon software were selected to describe the molecular structures of NHCs. Using the five selected molecular descriptors as well as pH and the partial charge on the nitrogen atom of NHCs (QN) as inputs of ANN, a quantitative structure-property relationship (QSPR) model without using Henderson-Hasselbalch (HH) equation was successfully developed to predict the aqueous solubility of NHCs in different pH water solutions. The prediction model performed well on the 25 model NHCs with an absolute average relative deviation (AARD) of 5.9%, while HH approach gave an AARD of 36.9% for the same model NHCs. It was found that QN played a very important role in the description of NHCs and, with QN, ANN became a potential tool for the prediction of pH-dependent solubility of NHCs.
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Affiliation(s)
- Feifei Sun
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China; Wanhua Chemical (Ningbo) Co. Ltd, Ningbo 315000, China
| | - Qingni Yu
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310027, China
| | - Jingke Zhu
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China
| | - Lecheng Lei
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China
| | - Zhongjian Li
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China
| | - Xingwang Zhang
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China.
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4
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Jain (Pancholi) N, Gupta S, Sapre N, Sapre NS. In silico de novo design of novel NNRTIs: a bio-molecular modelling approach. RSC Adv 2015. [DOI: 10.1039/c4ra15478a] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Six novel NNRTIs (DABO) with high efficacy are designed by assessing the interaction potential and structural requirements using chemometric analyses (SVM, BPNN and MLR) on structural descriptors.
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Affiliation(s)
| | - Swagata Gupta
- Department of Chemistry
- Govt. BLPPG College
- MHOW, India
| | - Neelima Sapre
- Department of Mathematics and Computational Sc
- SGSITS
- Indore, India
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5
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Prediction of the aniline point temperature of pure hydrocarbon liquids and their mixtures from molecular structure. J Mol Liq 2012. [DOI: 10.1016/j.molliq.2012.07.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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6
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Hechinger M, Leonhard K, Marquardt W. What is Wrong with Quantitative Structure–Property Relations Models Based on Three-Dimensional Descriptors? J Chem Inf Model 2012; 52:1984-93. [DOI: 10.1021/ci300246m] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- M. Hechinger
- AVT-Process
Systems Engineering and ‡Chair of Technical Thermodynamics, RWTH Aachen University, 52064 Aachen, Germany
| | - K. Leonhard
- AVT-Process
Systems Engineering and ‡Chair of Technical Thermodynamics, RWTH Aachen University, 52064 Aachen, Germany
| | - W. Marquardt
- AVT-Process
Systems Engineering and ‡Chair of Technical Thermodynamics, RWTH Aachen University, 52064 Aachen, Germany
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7
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Computational QSAR models with high-dimensional descriptor selection improve antitumor activity design of ARC-111 analogues. Med Chem Res 2012. [DOI: 10.1007/s00044-012-0034-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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8
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Gharagheizi F, Ilani-Kashkouli P, Mirkhani SA, Mohammadi AH. Computation of Upper Flash Point of Chemical Compounds Using a Chemical Structure-Based Model. Ind Eng Chem Res 2012. [DOI: 10.1021/ie202868v] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Farhad Gharagheizi
- Department
of Chemical Engineering, Science and Research Branch, Islamic Azad University,
Tehran, Iran
| | | | - Seyyed Alireza Mirkhani
- Department
of Chemical Engineering, Science and Research Branch, Islamic Azad University,
Tehran, Iran
| | - Amir H. Mohammadi
- MINES ParisTech, CEP/TEP—Centre Énergétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France
- Thermodynamics Research Unit,
School of Chemical Engineering, University of KwaZulu-Natal, Howard College Campus, King George V Avenue, Durban 4041, South
Africa
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9
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Bagheri M, Rajabi M, Mirbagheri M, Amin M. BPSO-MLR and ANFIS based modeling of lower flammability limit. J Loss Prev Process Ind 2012. [DOI: 10.1016/j.jlp.2011.10.005] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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10
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Mirkhani SA, Gharagheizi F, Sattari M. A QSPR model for prediction of diffusion coefficient of non-electrolyte organic compounds in air at ambient condition. CHEMOSPHERE 2012; 86:959-966. [PMID: 22189378 DOI: 10.1016/j.chemosphere.2011.11.021] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2011] [Revised: 11/09/2011] [Accepted: 11/13/2011] [Indexed: 05/31/2023]
Abstract
Evaluation of diffusion coefficients of pure compounds in air is of great interest for many diverse industrial and air quality control applications. In this communication, a QSPR method is applied to predict the molecular diffusivity of chemical compounds in air at 298.15K and atmospheric pressure. Four thousand five hundred and seventy nine organic compounds from broad spectrum of chemical families have been investigated to propose a comprehensive and predictive model. The final model is derived by Genetic Function Approximation (GFA) and contains five descriptors. Using this dedicated model, we obtain satisfactory results quantified by the following statistical results: Squared Correlation Coefficient=0.9723, Standard Deviation Error=0.003 and Average Absolute Relative Deviation=0.3% for the predicted properties from existing experimental values.
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11
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Mirkhani SA, Gharagheizi F. Predictive Quantitative Structure–Property Relationship Model for the Estimation of Ionic Liquid Viscosity. Ind Eng Chem Res 2012. [DOI: 10.1021/ie2025823] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Seyyed Alireza Mirkhani
- Department of Chemical
Engineering, Buinzahra Branch, Islamic Azad University, Buinzahra, Iran
| | - Farhad Gharagheizi
- Department of Chemical
Engineering, Buinzahra Branch, Islamic Azad University, Buinzahra, Iran
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12
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Gharagheizi F. Determination of Diffusion Coefficient of Organic Compounds in Water Using a Simple Molecular-Based Method. Ind Eng Chem Res 2012. [DOI: 10.1021/ie201944h] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Farhad Gharagheizi
- Department of Chemical
Engineering, Buinzahra
Branch, Islamic Azad University, Buinzahra,
Iran
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13
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Gharagheizi F, Eslamimanesh A, Mohammadi AH, Richon D. Group contribution model for determination of molecular diffusivity of non-electrolyte organic compounds in air at ambient conditions. Chem Eng Sci 2012. [DOI: 10.1016/j.ces.2011.09.035] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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14
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Handling a very large data set for determination of surface tension of chemical compounds using Quantitative Structure–Property Relationship strategy. Chem Eng Sci 2011. [DOI: 10.1016/j.ces.2011.06.052] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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15
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Gharagheizi F, Eslamimanesh A, Farjood F, Mohammadi AH, Richon D. Solubility Parameters of Nonelectrolyte Organic Compounds: Determination Using Quantitative Structure–Property Relationship Strategy. Ind Eng Chem Res 2011. [DOI: 10.1021/ie200962w] [Citation(s) in RCA: 88] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Affiliation(s)
| | - Ali Eslamimanesh
- MINES ParisTech, CEP/TEP - Centre Energétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France
| | - Farhad Farjood
- School of Chemical Engineering, University of Birmingham, Birmingham B15 2TT, United Kingdom
| | - Amir H. Mohammadi
- MINES ParisTech, CEP/TEP - Centre Energétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France
- Thermodynamics Research Unit, School of Chemical Engineering, University of KwaZulu-Natal, Howard College Campus, King George V Avenue, Durban 4041, South Africa
| | - Dominique Richon
- MINES ParisTech, CEP/TEP - Centre Energétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France
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16
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Gharagheizi F, Eslamimanesh A, Mohammadi AH, Richon D. Group Contribution-Based Method for Determination of Solubility Parameter of Nonelectrolyte Organic Compounds. Ind Eng Chem Res 2011. [DOI: 10.1021/ie201002e] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Affiliation(s)
| | - Ali Eslamimanesh
- MINES ParisTech, CEP/TEP−Centre Énergetique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France
| | - Amir H. Mohammadi
- MINES ParisTech, CEP/TEP−Centre Énergetique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France
- Thermodynamics Research Unit, School of Chemical Engineering, University of KwaZulu-Natal, Howard College Campus, King George V Avenue, Durban 4041, South Africa
| | - Dominique Richon
- MINES ParisTech, CEP/TEP−Centre Énergetique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France
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17
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Artificial Neural Network modeling of solubility of supercritical carbon dioxide in 24 commonly used ionic liquids. Chem Eng Sci 2011. [DOI: 10.1016/j.ces.2011.03.016] [Citation(s) in RCA: 112] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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18
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Gharagheizi F, Eslamimanesh A, Mohammadi AH, Richon D. QSPR approach for determination of parachor of non-electrolyte organic compounds. Chem Eng Sci 2011. [DOI: 10.1016/j.ces.2011.03.039] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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19
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Gharagheizi F. An accurate model for prediction of autoignition temperature of pure compounds. JOURNAL OF HAZARDOUS MATERIALS 2011; 189:211-221. [PMID: 21388737 DOI: 10.1016/j.jhazmat.2011.02.014] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2010] [Revised: 02/08/2011] [Accepted: 02/09/2011] [Indexed: 05/30/2023]
Abstract
Accurate prediction of pure compounds autoignition temperature (AIT) is of great importance. In this study, the Artificial Neural Network-Group Contribution (ANN-GC) method is applied to evaluate the AIT of pure compounds. 1025 pure compounds from various chemical families are investigated to propose a comprehensive and predictive model. The obtained results show the squared correlation coefficient of 0.984, root mean square error of 15.44K, and average percent error of 1.6% for the experimental values.
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20
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Gharagheizi F, Babaie O, Mazdeyasna S. Prediction of Vaporization Enthalpy of Pure Compounds using a Group Contribution-Based Method. Ind Eng Chem Res 2011. [DOI: 10.1021/ie2001764] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
| | - Omid Babaie
- Saman Energy Giti Co., Postal Code 3331619636, Tehran, Iran
| | - Sahar Mazdeyasna
- Department of Chemical Engineering, Iran University of Science and Technology, Tehran, Iran
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21
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Gharagheizi F, Eslamimanesh A, Mohammadi AH, Richon D. Determination of Parachor of Various Compounds Using an Artificial Neural Network−Group Contribution Method. Ind Eng Chem Res 2011. [DOI: 10.1021/ie102464t] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
| | - Ali Eslamimanesh
- MINES ParisTech, CEP/TEP—Centre Énergétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France
| | - Amir H. Mohammadi
- MINES ParisTech, CEP/TEP—Centre Énergétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France
- Thermodynamics Research Unit, School of Chemical Engineering, University of KwaZulu-Natal, Howard College Campus, King George V Avenue, Durban 4041, South Africa
| | - Dominique Richon
- MINES ParisTech, CEP/TEP—Centre Énergétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France
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22
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Gharagheizi F, Sattari M, Tirandazi B. Prediction of Crystal Lattice Energy Using Enthalpy of Sublimation: A Group Contribution-Based Model. Ind Eng Chem Res 2011. [DOI: 10.1021/ie101672j] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
| | - Mehdi Sattari
- Saman Energy Giti Co., Postal Code: 3331619636, Tehran, Iran
| | - Behnam Tirandazi
- Department of Chemical Engineering, Iran University of Science and Technology,Tehran, Iran
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23
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Gharagheizi F, Abbasi R. A New Neural Network Group Contribution Method for Estimation of Upper Flash Point of Pure Chemicals. Ind Eng Chem Res 2010. [DOI: 10.1021/ie1011273] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
| | - Reza Abbasi
- Saman Energy Giti Co., Postal Code 3331619636, Tehran, Iran
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24
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Gharagheizi F, Eslamimanesh A, Mohammadi AH, Richon D. Artificial Neural Network Modeling of Solubilities of 21 Commonly Used Industrial Solid Compounds in Supercritical Carbon Dioxide. Ind Eng Chem Res 2010. [DOI: 10.1021/ie101545g] [Citation(s) in RCA: 77] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Farhad Gharagheizi
- Department of Chemical Engineering, Faculty of Engineering, University of Tehran, P.O. Box 11365-4563, Tehran, Iran, MINES ParisTech, CEP/TEP - Centre Énergétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France, and Thermodynamics Research Unit, School of Chemical Engineering, University of KwaZulu-Natal, Howard College Campus, King George V Avenue, Durban 4041, South Africa
| | - Ali Eslamimanesh
- Department of Chemical Engineering, Faculty of Engineering, University of Tehran, P.O. Box 11365-4563, Tehran, Iran, MINES ParisTech, CEP/TEP - Centre Énergétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France, and Thermodynamics Research Unit, School of Chemical Engineering, University of KwaZulu-Natal, Howard College Campus, King George V Avenue, Durban 4041, South Africa
| | - Amir H. Mohammadi
- Department of Chemical Engineering, Faculty of Engineering, University of Tehran, P.O. Box 11365-4563, Tehran, Iran, MINES ParisTech, CEP/TEP - Centre Énergétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France, and Thermodynamics Research Unit, School of Chemical Engineering, University of KwaZulu-Natal, Howard College Campus, King George V Avenue, Durban 4041, South Africa
| | - Dominique Richon
- Department of Chemical Engineering, Faculty of Engineering, University of Tehran, P.O. Box 11365-4563, Tehran, Iran, MINES ParisTech, CEP/TEP - Centre Énergétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France, and Thermodynamics Research Unit, School of Chemical Engineering, University of KwaZulu-Natal, Howard College Campus, King George V Avenue, Durban 4041, South Africa
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25
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Lu Y, Ng D, Mannan MS. Prediction of the Reactivity Hazards for Organic Peroxides Using the QSPR Approach. Ind Eng Chem Res 2010. [DOI: 10.1021/ie100833m] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Yuan Lu
- Mary Kay O’Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering, Texas A&M University System, College Station, Texas 77843-3122
| | - Dedy Ng
- Mary Kay O’Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering, Texas A&M University System, College Station, Texas 77843-3122
| | - M. Sam Mannan
- Mary Kay O’Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering, Texas A&M University System, College Station, Texas 77843-3122
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26
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Mehrpooya M, Gharagheizi F. A Molecular Approach for the Prediction of Sulfur Compound Solubility Parameters. PHOSPHORUS SULFUR 2009. [DOI: 10.1080/10426500902758394] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Mehdi Mehrpooya
- a Department of Chemical Engineering, Faculty of Engineering , University of Tehran , Tehran, Iran
- b Center of Advanced Computing in Process Engineering , CACPEMP , Tehran, Iran
| | - Farhad Gharagheizi
- a Department of Chemical Engineering, Faculty of Engineering , University of Tehran , Tehran, Iran
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27
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Gharagheizi F, Sattari M. Prediction of Triple-Point Temperature of Pure Components Using their Chemical Structures. Ind Eng Chem Res 2009. [DOI: 10.1021/ie901029m] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Farhad Gharagheizi
- Department of Chemical Engineering, Faculty of Engineering, University of Tehran, P.O. Box 11365-4563, Tehran, Iran, and Division of Polymer Science and Technology, Research Institute of Petroleum Industry (RIPI), P.O. Box 14665-1998, Tehran, Iran
| | - Mehdi Sattari
- Department of Chemical Engineering, Faculty of Engineering, University of Tehran, P.O. Box 11365-4563, Tehran, Iran, and Division of Polymer Science and Technology, Research Institute of Petroleum Industry (RIPI), P.O. Box 14665-1998, Tehran, Iran
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28
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Gharagheizi F. A QSPR model for estimation of lower flammability limit temperature of pure compounds based on molecular structure. JOURNAL OF HAZARDOUS MATERIALS 2009; 169:217-220. [PMID: 19386414 DOI: 10.1016/j.jhazmat.2009.03.083] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2008] [Revised: 03/15/2009] [Accepted: 03/18/2009] [Indexed: 05/27/2023]
Abstract
In this study, a quantitative structure-property relationship was presented to estimate lower flammability limit temperature (LFLT) of pure compounds. This relationship is a multi-linear equation and has six parameters. These chemical structure-based parameters were selected from 1664 molecular-based parameters by genetic algorithm multivariate linear regression (GA-MLR). Since 1171 compounds were used to develop this equation, the model can be used to estimate the LFLT of a wide range of pure compounds.
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Affiliation(s)
- Farhad Gharagheizi
- Department of Chemical Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.
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29
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Gharagheizi F, Sattari M. Prediction of the θ(UCST) of Polymer Solutions: A Quantitative Structure−Property Relationship Study. Ind Eng Chem Res 2009. [DOI: 10.1021/ie9000426] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Farhad Gharagheizi
- Department of Chemical Engineering, Faculty of Engineering,
University of Tehran, P.O. Box 11365-4563, Tehran, Iran, and Division
of Polymer Science and Technology, Research Institute of Petroleum
Industry (RIPI), P.O. Box 14665-1998, Tehran, Iran
| | - Mehdi Sattari
- Department of Chemical Engineering, Faculty of Engineering,
University of Tehran, P.O. Box 11365-4563, Tehran, Iran, and Division
of Polymer Science and Technology, Research Institute of Petroleum
Industry (RIPI), P.O. Box 14665-1998, Tehran, Iran
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30
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Gharagheizi F. New Neural Network Group Contribution Model for Estimation of Lower Flammability Limit Temperature of Pure Compounds. Ind Eng Chem Res 2009. [DOI: 10.1021/ie9003738] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Farhad Gharagheizi
- Department of Chemical Engineering, Faculty of Engineering, University of Tehran, P.O. Box 11365-4563, Tehran, Iran, and Department of Chemical Engineering, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, Evin, Tehran, Iran
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31
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Current mathematical methods used in QSAR/QSPR studies. Int J Mol Sci 2009; 10:1978-1998. [PMID: 19564933 PMCID: PMC2695261 DOI: 10.3390/ijms10051978] [Citation(s) in RCA: 124] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2009] [Accepted: 04/28/2009] [Indexed: 02/07/2023] Open
Abstract
This paper gives an overview of the mathematical methods currently used in quantitative structure-activity/property relationship (QASR/QSPR) studies. Recently, the mathematical methods applied to the regression of QASR/QSPR models are developing very fast, and new methods, such as Gene Expression Programming (GEP), Project Pursuit Regression (PPR) and Local Lazy Regression (LLR) have appeared on the QASR/QSPR stage. At the same time, the earlier methods, including Multiple Linear Regression (MLR), Partial Least Squares (PLS), Neural Networks (NN), Support Vector Machine (SVM) and so on, are being upgraded to improve their performance in QASR/QSPR studies. These new and upgraded methods and algorithms are described in detail, and their advantages and disadvantages are evaluated and discussed, to show their application potential in QASR/QSPR studies in the future.
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32
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Gharagheizi F. Prediction of the Standard Enthalpy of Formation of Pure Compounds Using Molecular Structure. Aust J Chem 2009. [DOI: 10.1071/ch08522] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
A predictive approach has been presented to calculate the standard enthalpy of formation of pure compounds based on a quantitative structure–property relationship technique. A large number (1692) of pure compounds were used in this study. A genetic algorithm based on multivariate linear regression was used to subset variable selection. Using the selected molecular descriptors an optimized feed forward neural network was presented to predict the ΔHfo of pure compounds.
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Gharagheizi F, Sattari M. Estimation of molecular diffusivity of pure chemicals in water: a quantitative structure-property relationship study. SAR AND QSAR IN ENVIRONMENTAL RESEARCH 2009; 20:267-285. [PMID: 19544192 DOI: 10.1080/10629360902949534] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
A quantitative structure-property relationship (QSPR) study was performed to predict the molecular diffusivity of pure chemicals in water. A genetic-algorithm-based multivariate linear regression (GA-MLR) was applied to select the most statistically effective molecular descriptors for modelling the molecular diffusivity of pure chemicals in water. Based on the selected molecular descriptors, a three-layer feed forward neural network (FFNN) was constructed to predict the property. The obtained results showed that the FFNN was able to predict the molecular diffusivity of pure chemicals in water.
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Affiliation(s)
- F Gharagheizi
- Department of Chemical Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.
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