Theoretical Analysis for Toxic Organic Compounds in Textile Effluents and Landfill Leachates

摘要

Textile effluents contain a wide range of non-polar and polar compounds, but polar ones are predominant. These organic pollutants in textile wastewater may give a rise to problems due to the fact that they are non-biodegradable and their elimination is incomplete. Genetic algorithm and partial least square (GA-PLS) and Levenberg-Marquardt artificial neural network (L-M ANN) techniques were used to investigate the correlation between retention time and descriptors for toxic organic compounds in textile effluents and landfill leachates. The L-M ANN model gave a significantly better performance than the GA-PLS model. This indicates that L-M ANN can be used as an alternative modeling tool for quantitative structure–retention relationship (QSRR) studies.