Ferrihydrite − Graphene oxide foams as an efficient adsorbent for Arsenic(III) removal from an aqueous solution

Krishnamoorthy Shanmugaraj, Victor Vinoth, Nalandhiran Pugazhenthiran, Héctor Valdés, Christopher Salvo, Erwin Sepúlveda, Ramalinga Viswanathan Mangalaraja

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

We report the synthesis of a new range of ferrihydrite-graphene oxide (FH-GO) foams using chitosan as cross linker, with varying iron content (5 wt%, 10 wt%, and 20 wt% of FH) as highly efficient adsorbents for the removal of arsenic (III) (As(III)) in an aqueous solution. The sonochemical methods were adopted to synthesize various FH-GO foams and were further characterized by XRD, SEM, TEM, FTIR, Raman, and XPS techniques. The synthesized materials were used for the removal of As(III) in both batch and fixed bed absorbent column methods. The adsorption isotherm results showed that the 10 wt% of FH-GO foams demonstrated a superior adsorbent for the As(III) with high adsorption capacities than that of the other two FH-GO foams (5 wt% and 20 wt% of FH). Moreover, 10 wt% of FH-GO foams was also demonstrated to be nearly a complete (>98.4%) removal of As(III) ions at neutral pH 7. The adsorption isotherm fitted very well with the Langmuir model with the highest accuracy data for all the synthesized adsorbent materials. In addition, the fixed bed absorbent column method was also adopted for the removal of As(III) ions in the water sample, which showed > 99.2% of removal efficiency. The outstanding adsorption capabilities, along with their easy and low-cost synthesis, make these kinds of adsorbents extremely capable for commercial applications in wastewater treatment and drinking water purification.

Original languageEnglish
Article number110892
JournalInorganic Chemistry Communications
Volume153
DOIs
StatePublished - Jul 2023
Externally publishedYes

Keywords

  • Adsorption capacity
  • Arsenic (III)
  • Ferrihydrite-graphene oxide foams
  • Langmuir model
  • Structural characterization

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