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

Manal Fawzy, Mahmoud Nasr, Ashraf Abdel-Gaber, Shaimaa Fadly

Research output: Contribution to journalArticle

16 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)416-426
Number of pages11
JournalSeparation Science and Technology (Philadelphia)
Volume51
Issue number3
DOIs
Publication statusPublished - 11 Feb 2016
Externally publishedYes

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Keywords

  • Agricultural biosorbents
  • artificial intelligence
  • Cr(VI)
  • isotherm
  • operating parameters

ASJC Scopus subject areas

  • Chemistry(all)
  • Process Chemistry and Technology
  • Chemical Engineering(all)
  • Filtration and Separation

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