Multiple Linear Regression Model for Removal of Iron Using Low Cost Adsorbents

Abstract

The removal of iron from groundwater using low cost adsorbents to serve the rural places and to provide decentralized water treatment plant is the main focus of the study. The low cost adsorbents which are prepared from agricultural waste such as rice husk and sugarcane bagasse (Saccharum officinarum) and medicinal plants such as tulsi leaves (Octimum Sanctum) and vettiver (camel grass) were used. In this study, batch adsorption of Fe (III) ions onto rice husk ash, sugarcane bagasse, tulsi powder and vettiver was investigated. Batch test was conducted by varying different variables such as contact time, concentration and dosage. Fe (III) adsorption equilibrium was analysed with multiple linear regression analysis. The removal efficiency of rice husk ash, sugarcane bagasse, tulsi powder and vettiver were found to be 91.02%, 94.90%, 75.52% and 74.84% respectively.