Biosorption of Cr(VI) from aqueous solution using agricultural wastes, with artificial intelligence approach

被引：27
作者：
Fawzy, Manal [1 ]
Nasr, Mahmoud [2 ]
Abdel-Gaber, Ashraf [3 ,4 ]
Fadly, Shaimaa [1 ]
机构：
[1] Univ Alexandria, Fac Sci, Dept Environm Sci, Alexandria, Egypt
[2] Univ Alexandria, Fac Engn, Dept Sanit Engn, POB 21544, Alexandria, Egypt
[3] Beirut Arab Univ, Fac Sci, Dept Chem, Beirut, Lebanon
[4] Univ Alexandria, Fac Sci, Dept Chem, Alexandria, Egypt
来源：
SEPARATION SCIENCE AND TECHNOLOGY | 2016年 / 51卷 / 03期
关键词：
Agricultural biosorbents; artificial intelligence; Cr(VI); isotherm; operating parameters; RESPONSE-SURFACE METHODOLOGY; HEAVY-METAL IONS; HEXAVALENT CHROMIUM; REMOVAL; WATER; OPTIMIZATION; EQUILIBRIUM; BIOSORBENT; BIOMASS; WALNUT;
D O I：
10.1080/01496395.2015.1115068
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
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.
引用
收藏
页码：416 / 426
页数：11
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