title: A QSPR model for prediction of diffusion coefficient of non-electrolyte organic compounds in air at ambient condition.
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.
authors.affiliation: Department of Chemical Engineering, Sharif University, Tehran, Iran.
authors.forename: Seyyed Alireza
authors.initials: SA
authors.lastname: Mirkhani
authors.forename: Farhad
authors.initials: F
authors.lastname: Gharagheizi
authors.forename: Mehdi
authors.initials: M
authors.lastname: Sattari
mesh_terms: D000388:Air / Q000032:analysis*; D000393:Air Pollutants / Q000032:analysis* / Q000737:chemistry; D000465:Algorithms; D004058:Diffusion; D004784:Environmental Monitoring / Q000379:methods; D021281:Quantitative Structure-Activity Relationship
chemical_list: D000393:Air Pollutants