Comparison of Linear and Nonlinear Regressive Analysis in Estimating the Thomas Model Parameters for Anionic Dye Adsorption onto CPB Modified Peanut Husk in Fixed-Bed Column

Abstract

Comparison analysis of linear least square method and nonlinear least square method for estimating the kinetic parameters was made using the experimental column data of Light green adsorption onto a cationic surfactant hexadecylpyridinium bromide (CPB) modified peanut husk (MPH) at different flow rate and initial concentration. The data were fitted to Thomas model equations using linear and non-linear regressive analysis, respectively and the error analysis was performed. The results showed that both methods are suitable to predict the breakthrough curves using Thomas model parameters and the nonlinear method is better.