Environmental approach and artificial intelligence for Ni(II) and Cd(II) biosorption from aqueous solution using Typha domingensis biomass

Manal Fawzy, Mahmoud Nasr, Samar Adel, Heba Nagy, Shacker Helmi

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

This study was carried out to examine the Typha domingensis as a biosorbent for the removal of Ni(II) and Cd(II) ions from aqueous solution, and to determine the experimental parameter that mostly influenced the biosorption process. The sorption mechanism was discussed in combination with the results obtained from Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and energy-dispersive X-ray spectroscopy (EDX). Results revealed that, at initial metal-ions concentration: 50 mg L−1, biosorbent dosage: 10.0 g L−1 and particle-size: 0.5 mm, the highest Ni(II) removal efficiency of 31.0% was obtained at pH: 6.0 within 30 min, whereas the maximum Cd(II) removal efficiency was 78.1% at pH: 7.0 within 15 min. The adsorption equilibrium data of Ni(II) fitted well to the Freundlich isotherm (r2: 0.9202), while Cd(II) adsorption was described well with both isotherms of Langmuir (r2: 0.9504) and Freundlich (r2: 0.9480). Kinetic studies showed that pseudo-second order described well the biosorption experimental data (r2 > 0.98). Furthermore, through modeling of an adaptive neuro-fuzzy inference system (ANFIS), the sequence of experimental parameters affecting metal-ions removal efficiency for Ni(II) ions was: Ni(II) concentration > contact time > pH > biosorbent dosage > particle-size, while for Cd(II) ions, the sequence was: pH > Cd(II) concentration > contact time > particle-size > biosorbent dosage.

Original languageEnglish
Pages (from-to)743-752
Number of pages10
JournalEcological Engineering
Volume95
DOIs
Publication statusPublished - 1 Oct 2016
Externally publishedYes

Fingerprint

Biosorption
artificial intelligence
Artificial intelligence
Biomass
aqueous solution
ion
Particle size
biomass
Metal ions
Isotherms
particle size
Ions
isotherm
Adsorption
Fuzzy inference
adsorption
metal
Fourier transform infrared spectroscopy
Sorption
FTIR spectroscopy

Keywords

  • Artificial modeling
  • Biosorption
  • Isotherms and kinetics
  • Ni(II) and Cd(II)
  • Typha domingensis characterization

ASJC Scopus subject areas

  • Environmental Engineering
  • Management, Monitoring, Policy and Law
  • Nature and Landscape Conservation

Cite this

Environmental approach and artificial intelligence for Ni(II) and Cd(II) biosorption from aqueous solution using Typha domingensis biomass. / Fawzy, Manal; Nasr, Mahmoud; Adel, Samar; Nagy, Heba; Helmi, Shacker.

In: Ecological Engineering, Vol. 95, 01.10.2016, p. 743-752.

Research output: Contribution to journalArticle

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