Sesbania sesban L. biomass as a novel adsorbent for removal of Pb(II) ions from aqueous solution: non-linear and error analysis
In the present study, we reported the feasibility of the Sesbania sesban L. as a biosorbent to remove Pb(II) from aqueous solutions. The ability of S. sesban L. to adsorb Pb(II) was investigated by using batch adsorption procedure. Such effects as pH, contact time, adsorbate concentration, and bioso...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2015-06-01
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| Series: | Green Processing and Synthesis |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/gps-2014-0101 |
| _version_ | 1818693392225271808 |
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| author | Hashem Ali Badawy Sayed M. |
| author_facet | Hashem Ali Badawy Sayed M. |
| author_sort | Hashem Ali |
| collection | DOAJ |
| description | In the present study, we reported the feasibility of the Sesbania sesban L. as a biosorbent to remove Pb(II) from aqueous solutions. The ability of S. sesban L. to adsorb Pb(II) was investigated by using batch adsorption procedure. Such effects as pH, contact time, adsorbate concentration, and biosorbent dosage on the adsorption capacity were studied. The experimental data were analyzed using various adsorption kinetic models, namely, pseudo-first-order model, the pseudo-second-order model, Batacharia-Venkobachar, the Elovich equation, the intraparticle diffusion model, and Bangham equation. Results show that the pseudo-second-order equation provides the best correlation for the biosorption process. To determine the best fit isotherm, the experimental equilibrium data were analyzed using two-parameter (Langmuir, Freundlich, Dubinin-Radushkevich, and Tempkin) and three-parameter isotherms (Redlich-Peterson, Sips, Khan, and Toth). The examination of error analysis methods showed that the Langmuir isotherm model and Redlich-Peterson models provide the best fit for experimental data than other isotherms. Sebania sesban L. is found to be inexpensive and effective adsorbent for removal of Pb(II) from aqueous solutions. |
| first_indexed | 2024-12-17T13:12:57Z |
| format | Article |
| id | doaj.art-aea5d28af9eb43689f9ed0d75fe114c6 |
| institution | Directory Open Access Journal |
| issn | 2191-9542 2191-9550 |
| language | English |
| last_indexed | 2024-12-17T13:12:57Z |
| publishDate | 2015-06-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Green Processing and Synthesis |
| spelling | doaj.art-aea5d28af9eb43689f9ed0d75fe114c62022-12-21T21:47:04ZengDe GruyterGreen Processing and Synthesis2191-95422191-95502015-06-014317919010.1515/gps-2014-0101Sesbania sesban L. biomass as a novel adsorbent for removal of Pb(II) ions from aqueous solution: non-linear and error analysisHashem AliBadawy Sayed M.In the present study, we reported the feasibility of the Sesbania sesban L. as a biosorbent to remove Pb(II) from aqueous solutions. The ability of S. sesban L. to adsorb Pb(II) was investigated by using batch adsorption procedure. Such effects as pH, contact time, adsorbate concentration, and biosorbent dosage on the adsorption capacity were studied. The experimental data were analyzed using various adsorption kinetic models, namely, pseudo-first-order model, the pseudo-second-order model, Batacharia-Venkobachar, the Elovich equation, the intraparticle diffusion model, and Bangham equation. Results show that the pseudo-second-order equation provides the best correlation for the biosorption process. To determine the best fit isotherm, the experimental equilibrium data were analyzed using two-parameter (Langmuir, Freundlich, Dubinin-Radushkevich, and Tempkin) and three-parameter isotherms (Redlich-Peterson, Sips, Khan, and Toth). The examination of error analysis methods showed that the Langmuir isotherm model and Redlich-Peterson models provide the best fit for experimental data than other isotherms. Sebania sesban L. is found to be inexpensive and effective adsorbent for removal of Pb(II) from aqueous solutions.https://doi.org/10.1515/gps-2014-0101contaminated watererror analysisisotherm modelspb(ii) adsorptionsesbania sesban l |
| spellingShingle | Hashem Ali Badawy Sayed M. Sesbania sesban L. biomass as a novel adsorbent for removal of Pb(II) ions from aqueous solution: non-linear and error analysis Green Processing and Synthesis contaminated water error analysis isotherm models pb(ii) adsorption sesbania sesban l |
| title | Sesbania sesban L. biomass as a novel adsorbent for removal of Pb(II) ions from aqueous solution: non-linear and error analysis |
| title_full | Sesbania sesban L. biomass as a novel adsorbent for removal of Pb(II) ions from aqueous solution: non-linear and error analysis |
| title_fullStr | Sesbania sesban L. biomass as a novel adsorbent for removal of Pb(II) ions from aqueous solution: non-linear and error analysis |
| title_full_unstemmed | Sesbania sesban L. biomass as a novel adsorbent for removal of Pb(II) ions from aqueous solution: non-linear and error analysis |
| title_short | Sesbania sesban L. biomass as a novel adsorbent for removal of Pb(II) ions from aqueous solution: non-linear and error analysis |
| title_sort | sesbania sesban l biomass as a novel adsorbent for removal of pb ii ions from aqueous solution non linear and error analysis |
| topic | contaminated water error analysis isotherm models pb(ii) adsorption sesbania sesban l |
| url | https://doi.org/10.1515/gps-2014-0101 |
| work_keys_str_mv | AT hashemali sesbaniasesbanlbiomassasanoveladsorbentforremovalofpbiiionsfromaqueoussolutionnonlinearanderroranalysis AT badawysayedm sesbaniasesbanlbiomassasanoveladsorbentforremovalofpbiiionsfromaqueoussolutionnonlinearanderroranalysis |