Prediction of optimum sorption isotherm: comparison of linear and non-linear method

J Hazard Mater. 2005 Nov 11;126(1-3):198-201. doi: 10.1016/j.jhazmat.2005.06.007. Epub 2005 Jul 19.

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.

Publication types

  • Comparative Study
  • Evaluation Study

MeSH terms

  • Adsorption
  • Azo Compounds / isolation & purification*
  • Coloring Agents / isolation & purification*
  • Industrial Waste / prevention & control*
  • Linear Models
  • Models, Theoretical*
  • Oryza / metabolism*
  • Water Pollutants, Chemical / isolation & purification*
  • Water Pollution, Chemical / prevention & control*

Substances

  • Azo Compounds
  • Coloring Agents
  • Industrial Waste
  • Water Pollutants, Chemical
  • Bismark Brown