Biosorptive Removal of Ni(Ii) from Wastewater and Industrial Effluent
| Autor: | S S Kalyan Kamal, Piyush Kant Pandey, Yashu Verma, K. Chandrashekhar, Shweta Choubey, Madhurima Pandey |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2007 |
| Předmět: |
Langmuir
Health Toxicology and Mutagenesis Industrial Waste lcsh:Medicine Waste Disposal Fluid nickel Adsorption Desorption Freundlich equation Biomass Calotropis procera Chemistry lcsh:R Public Health Environmental and Occupational Health Biosorption biomaterial Sorption Articles Hydrogen-Ion Concentration industrial effluent Apocynaceae Wastewater Water Pollutants Chemical Waste disposal Nuclear chemistry |
| Zdroj: | International Journal of Environmental Research and Public Health, Vol 4, Iss 4, Pp 332-339 (2007) International Journal of Environmental Research and Public Health; Volume 4; Issue 4; Pages: 332-339 International Journal of Environmental Research and Public Health |
| ISSN: | 1660-4601 |
| Popis: | The objective of the present work was to investigate the removal of Ni(II) by the fresh biomass (FBM) and chemically treated leached biomass (LBM) of Calotropis procera. The scope of the work included screening of the biosorbents for their metal uptake potential, batch equilibrium, column mode removal studies and kinetic studies at varying pH (2-6), contact time, biosorbent dosages (1-25 g/L) and initial metal ion concentration (5-500 mg/L). The development of batch kinetic model and determination of order, desorption studies, column studies were investigated. It was observed that pH had marked effect on the Ni(II) uptake. Langmuir and Freundlich models were used to correlate equilibrium data on sorption of Ni(II) metallic ion by using both FBM and LBM at 28 o C and pH 3 and different coefficients were calculated. It was found that both biomasses were statistically significant fit for Freundlich model. The biomass was successfully used for removal nickel from synthetic and industrial effluents and the technique appears industrially applicable and viable. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|