however, the ability to predict the sorption of surfactant Because most commercially available surfactants consist of mixmixtures based on the mixture composition is essential. Pretures of surfactant components, an understanding of mixed surfacvious work by the authors examining the sorption of ethoxytant sorption behavior in the presence of natural materials may lated linear alcohol surfactant mixtures has shown that surbe essential for optimal design of surfactant-based industrial profactant distribution can have a dramatic influence on mixed cesses or environmental remediation applications. This paper pressorption behavior (1). To quantitatively assess the impact ents a new predictive numerical model of surfactant sorption of mixed surfactant sorption on engineered and natural enviwhich can be used to assess the sorption behavior of nonionic ronmental processes for a range of surfactant mixtures and surfactant mixtures based on a minimal set of physically intuitive, soil conditions, a practical model for the prediction of mixed measurable parameters. The model is based on a chemical equilibrium formulation and can predict the sorption behavior of very sorption is needed. broadly distributed mixtures containing 40 components or more.
The model described here uses a chemical equilibrium Formulation of the model is presented, and solution methods are formulation to describe the mixed sorption process. This discussed. The influence of model parameters on isotherm shape model has several advantages, including a small set of pais examined, and application of the model to prediction of mixed rameters and a single set of equations which describe sorpsorption of a binary surfactant mixture is presented. An extension tion over the entire concentration range. In addition, the of the model which includes multiple surface site types is dissolution of this model is tractable for very broadly distributed cussed.