Biosorption of Cr(VI) from aqueous solution using agricultural wastes,with artificial intelligence approach |
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| Authors: | Manal Fawzy Ashraf Abdel-Gaber Shaimaa Fadly |
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| Affiliation: | 1. Department of Environmental Sciences, Faculty of Science, Alexandria University, Alexandria, Egypt;2. Department of Chemistry, Faculty of Science, Beirut Arab University, Lebanon;3. Department of Chemistry, Faculty of Science, Alexandria University, Ibrahimia, Alexandria, Egypt |
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| Abstract: | Removal of Cr(VI) from aqueous solution by date-palm-leaves (DPL) and broad-bean-shoots (BBS) was investigated. FTIR, SEM, and EDAX showed that DPL has higher ability for ion-exchange to remove Cr(VI). Langmuir and Freundlich adsorption isotherms and kinetics revealed that DPL exhibited higher biosorption capacity. At Cr(VI) 100 mg/L, biosorbent-dose 5 g/L and 60 min contact-time, maximum Cr(VI) removal for DPL (98%) and BBS (95%) was achieved at pH 2 and 1, respectively. Adaptive-neuro fuzzy inference system determined the most important factor affecting Cr(VI) removal. The model indicated that DPL is more tolerant to pH levels, while BBS is a pH-sensitive adsorbent. |
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| Keywords: | Agricultural biosorbents artificial intelligence Cr(VI) isotherm operating parameters |
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