title: Prediction of optimum sorption isotherm: comparison of linear and non-linear method.
abstract: Equilibrium parameters for Bismarck brown onto rice husk were estimated by linear least square and a trial and error non-linear method using Freundlich, Langmuir and Redlich-Peterson isotherms. A comparison between linear and non-linear method of estimating the isotherm parameters was reported. The best fitting isotherm was Langmuir isotherm and Redlich-Peterson isotherm equation. The results show that non-linear method could be a better way to obtain the parameters. Redlich-Peterson isotherm is a special case of Langmuir isotherm when the Redlich-Peterson isotherm constant g was unity.
authors.affiliation: Department of Chemical Engineering, A.C. Tech, Anna University, Chennai, TN 600025, India. vasanth_vit@yahoo.com
authors.forename: K Vasanth
authors.initials: KV
authors.lastname: Kumar
authors.forename: S
authors.initials: S
authors.lastname: Sivanesan
mesh_terms: D000327:Adsorption; D001391:Azo Compounds / Q000302:isolation & purification*; D004396:Coloring Agents / Q000302:isolation & purification*; D007220:Industrial Waste / Q000517:prevention & control*; D016014:Linear Models; D008962:Models, Theoretical; D012275:Oryza / Q000378:metabolism*; D014874:Water Pollutants, Chemical / Q000302:isolation & purification*; D014877:Water Pollution, Chemical / Q000517:prevention & control*
chemical_list: D001391:Azo Compounds; D004396:Coloring Agents; D007220:Industrial Waste; D014874:Water Pollutants, Chemical; C032806:Bismark Brown