Prediction of activated carbon adsorption capacities for organic vapors using quantitative structure-activity relationship methods
Quantitative structur-activity relationship (QSAR) methods were used to develop models to estimate and predict activated carbon adsorption capacities for organic vapors. Literature isotherm data from two sources for 22 organic contaminants on sir different carbons were merged to form a training set of 75 data points. Two different QSAR approaches were evaluated: the molecular connectivity approach and the linear solvation energy relationship approach. The QSAR model developed in this studyusing the molecular connectivity approach was able to fit the erperimental data with r=0.96 and standard error of 0.09. The utility of the model was demonstrated by using predicted k values to calculate adsorption capacities of 12 chemicals on two different carbons and comparing them with experimentally determined values