Treatment of wastewater containing arsenic using Rhazya stricta as a new adsorbent

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19 Citations (Scopus)

Abstract

The effective removal of heavy metals from aqueous wastes is among the most important issues for many industrialized countries. Removal of arsenic (As) from aqueous solutions was studied using Rhazia stricta biomass. The batch experiments are carried out to investigate the effect of the significant process parameters such as pH, contact time, solute concentration and adsorbent dose. The optimum pH required for maximum adsorption was found to be 5. The equilibrium data for the adsorption of As(V) on R. stricta are tested with various adsorption isotherm models such as Langmuir, Freundlich, Tempkin and Generalized equation. Results indicate the following order to fit the isotherm: Langmuir (1 and 2) > Tempkin > Generalized form > Freundlich. A comparison of two kinetic models showed that our data fitted well to the Elovich model.

Original languageEnglish
Pages (from-to)9669-9681
Number of pages13
JournalEnvironmental Monitoring and Assessment
Volume185
Issue number12
DOIs
Publication statusPublished - 1 Dec 2013

Fingerprint

Arsenic
Adsorbents
arsenic
Wastewater
adsorption
wastewater
isotherm
Adsorption
Adsorption isotherms
Heavy metals
Isotherms
solute
Biomass
aqueous solution
heavy metal
kinetics
Kinetics
biomass
experiment
Experiments

Keywords

  • Adsorption isotherm
  • Adsorption kinetics
  • Arsenic
  • Biosorption
  • Rhazia stricta

Cite this

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abstract = "The effective removal of heavy metals from aqueous wastes is among the most important issues for many industrialized countries. Removal of arsenic (As) from aqueous solutions was studied using Rhazia stricta biomass. The batch experiments are carried out to investigate the effect of the significant process parameters such as pH, contact time, solute concentration and adsorbent dose. The optimum pH required for maximum adsorption was found to be 5. The equilibrium data for the adsorption of As(V) on R. stricta are tested with various adsorption isotherm models such as Langmuir, Freundlich, Tempkin and Generalized equation. Results indicate the following order to fit the isotherm: Langmuir (1 and 2) > Tempkin > Generalized form > Freundlich. A comparison of two kinetic models showed that our data fitted well to the Elovich model.",
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Treatment of wastewater containing arsenic using Rhazya stricta as a new adsorbent. / Badr, Nadia; Al-Qahtani, Khairia M.

In: Environmental Monitoring and Assessment, Vol. 185, No. 12, 01.12.2013, p. 9669-9681.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Badr, Nadia

AU - Al-Qahtani, Khairia M.

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