4.6 Article

Arsenate Removal from the Groundwater Employing Maghemite Nanoparticles

Journal

WATER
Volume 14, Issue 22, Pages -

Publisher

MDPI
DOI: 10.3390/w14223617

Keywords

groundwater; arsenic; maghemite nanoparticles; Taguchi's methodology; removal characteristics; Ballia

Funding

  1. Department of Science and Technology (DST, India)-Newton Bhabha-Natural Environmental Research Council (NERC, UK) [DST/TM/INDO-UK/2K17/55(C), DST/TM/INDO-UK/2K17/55(G)]
  2. Natural Environmental Research Council (NERC, UK)
  3. University Grant Commission (UGC), India [7411-29-061-429]

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This study investigates the potential of gamma-Fe2O3 nanoparticles to remove As-V from groundwater. The nanoparticles were synthesized using a modified co-precipitation method and their morphological and surface characteristics were analyzed. The study explores the effects of various factors on the removal process and finds that adsorption occurs through electrostatic interactions.
An investigation of the potential of gamma-Fe2O3 (maghemite) nanoparticles (MNPs) to remove As-V from groundwater is reported. The MNPs were synthesized using a modified co-precipitation method via refluxing. The morphological and surface characteristics of MNPs were analyzed using XRD, FTIR, SEM, TEM, and Zetasizer techniques. Their As-V removal potential was explored in synthetic water representing the elemental composition equivalent to arsenic-contaminated groundwater of the Ballia district, Uttar Pradesh, India. The arsenic concentration in the samples collected from the study area was observed to be much more than the provisional WHO guideline value for drinking water (10 mu g L-1). An orthogonal array L-27 (3(13)) of the Taguchi design of experimental methodology was employed to design the experiments and optimization of As-V removal. The ANN tool was trained to evaluate Taguchi's outcomes using MATLAB. The percentage of ionic species distribution and surface complexation modeling was performed using Visual MINTEQ. The study explored the effects of pH, temperature, contact time, adsorbent dose, total dissolved solids, and shaking speed on the removal process. The adsorption was found to occur through electrostatic interactions. The inter-parametric analysis demonstrated the involvement of secondary sites affecting the adsorption. The charge distribution multi-sites complexation (CD-MUSIC) model and 2pk-Three-Plane-Model (TPM) indicated the involvement of the reactivity of singlet (FeOH-0.5) and triplet (Fe3O-0.5) species in the examined pH range. The developed nanoparticles are observed to be efficient in As-V removal. This information could benefit field-scale arsenic removal units.

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