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Modeling of photodegradation kinetics of aromatic pollutants in water matrix

Paper ID Volume ID Publish Year Pages File Format Full-Text
27283 44014 2013 12 PDF Available
Title
Modeling of photodegradation kinetics of aromatic pollutants in water matrix
Abstract

•We study the modeling of photodegradation kinetics of aromatic pollutants in water.•We combine kinetic modeling and structural-relationship modeling approaches.•We establish structure–property relationship for molar absorption coefficient (ɛ).•We establish structure–property relationship for quantum yield (Φ).

In this study photodegradation kinetics of aromatic pollutants in water was simulated by combining two approaches: kinetic modeling and structural-relationship modeling. Semiempirical model based on Lambert's law (“LL model”) was used to determine quantum yields (Φ) of 28 single-benzene ring pollutants. QSAR/QSPR modeling, using Genetic Algorithm (GA) and multiple linear regression analysis (MLRA) to select the descriptors and to generate the best correlation models, was applied to establish structure–property relationship of molar absorption coefficient (ɛ) and quantum yield (Φ).In both cases the most predictive models consistent of 4 variables, i.e. descriptors, possessing the good ratios of the number of variables and the predictive ability to avoid overfitting. It was found that ɛ depends on the overall number of bonds, particular atom-centered fragment related to substituents possessing double and single bonded heteroatoms (O or N) to C atom, as well as the shape and size of the molecule and polarizibility. Molecular symmetry was shown as the most influential factor toward Φ. The applied GA-MLRA approach using DRAGON generated descriptors yielded good results, which was also confirmed by external validation. “LL model” simulation for two additional single-benzene ring pollutants, using predicted Φ and ɛ by QSAR/QSPR, slightly deviated from the experimental results (RMSD ≤ 0.75%).

Keywords
Aromatic pollutants; Water matrix; Photodegradation; Kinetics; Structural relationship
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Publisher
Database: Elsevier - ScienceDirect
Journal: Journal of Photochemistry and Photobiology A: Chemistry - Volume 271, 1 November 2013, Pages 65–76
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us