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Adsorption of Arsenic from Mine-Wastewater Using Iron Impregnated Activated Carbon: Effect of Operating Parameters and Kinetic Modelling

Mark Dave Verdejo, Djoan Kate Tungpalan, Candy Mercado

2026enarsenic removalmine wastewateractivated carboniron oxideadsorptionwater treatment

Abstract

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Activated carbon is a promising low-cost adsorbent for arsenic removal, but most prior studies have used synthetic solutions that do not reflect the complexity of real mine wastewater. This study investigates the removal of arsenic from actual mine-wastewater using iron-oxide impregnated activated carbon (Fe‑MAC) prepared via surface oxidation and iron loading, followed by calcination. SEM‑EDX characterization confirmed successful iron impregnation through surface adsorption and pore filling, along with removal of non-carbon impurities. Batch experiments evaluated the effects of initial pH, adsorbent dosage, and coexisting metals (notably Cu and Ni) on arsenic uptake. The modified activated carbon achieved up to 99% arsenic removal, with adsorption performance largely insensitive to initial pH due to convergence toward near-neutral final pH and significantly enhanced at higher dosages, reaching a maximum at 10 g/L. Kinetic analysis showed that arsenic adsorption follows a pseudo-second-order model, indicating chemisorption as a rate-limiting step with intraparticle diffusion also contributing to the process. Coexisting metals in the mine-wastewater influenced the adsorption rate of arsenic, underscoring the importance of competitive interactions under real wastewater conditions.

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Cite This Work

@article{77ec35cb-ef11-41c2-898f-ac424d910de4,
  title={Adsorption of Arsenic from Mine-Wastewater Using Iron Impregnated Activated  Carbon: Effect of Operating Parameters and Kinetic Modelling  },
  author={Mark Dave Verdejo and Djoan Kate Tungpalan and Candy Mercado},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - Adsorption of Arsenic from Mine-Wastewater Using Iron Impregnated Activated  Carbon: Effect of Operating Parameters and Kinetic Modelling  
AU  - Mark Dave Verdejo
AU  - Djoan Kate Tungpalan
AU  - Candy Mercado
PY  - 2026
LA  - en
ER  -

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