Arsenate Removal from the Groundwater Employing Maghemite Nanoparticles

An investigation of the potential of γ-Fe<sub>2</sub>O<sub>3</sub> (maghemite) nanoparticles (MNPs) to remove As<sup>V</sup> from groundwater is reported. The MNPs were synthesized using a modified co-precipitation method via refluxing. The morphological and surfa...

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Main Authors: Ajay Kumar, Himanshu Joshi, Anil Kumar
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/14/22/3617
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author Ajay Kumar
Himanshu Joshi
Anil Kumar
author_facet Ajay Kumar
Himanshu Joshi
Anil Kumar
author_sort Ajay Kumar
collection DOAJ
description An investigation of the potential of γ-Fe<sub>2</sub>O<sub>3</sub> (maghemite) nanoparticles (MNPs) to remove As<sup>V</sup> 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<sup>V</sup> 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 µg L<sup>−1</sup>). An orthogonal array L<sub>27</sub> (3<sup>13</sup>) of the Taguchi design of experimental methodology was employed to design the experiments and optimization of As<sup>V</sup> 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<sup>−0.5</sup>) and triplet (Fe<sub>3</sub>O<sup>−0.5</sup>) species in the examined pH range. The developed nanoparticles are observed to be efficient in As<sup>V</sup> removal. This information could benefit field-scale arsenic removal units.
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spelling doaj.art-90a17c88623b48a59571c6a012429b742023-11-24T10:20:11ZengMDPI AGWater2073-44412022-11-011422361710.3390/w14223617Arsenate Removal from the Groundwater Employing Maghemite NanoparticlesAjay Kumar0Himanshu Joshi1Anil Kumar2Department of Hydrology, Indian Institute of Technology, Roorkee 247667, Uttrakhand, IndiaDepartment of Hydrology, Indian Institute of Technology, Roorkee 247667, Uttrakhand, IndiaDepartment of Chemistry, Indian Institute of Technology, Roorkee 247667, Uttrakhand, IndiaAn investigation of the potential of γ-Fe<sub>2</sub>O<sub>3</sub> (maghemite) nanoparticles (MNPs) to remove As<sup>V</sup> 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<sup>V</sup> 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 µg L<sup>−1</sup>). An orthogonal array L<sub>27</sub> (3<sup>13</sup>) of the Taguchi design of experimental methodology was employed to design the experiments and optimization of As<sup>V</sup> 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<sup>−0.5</sup>) and triplet (Fe<sub>3</sub>O<sup>−0.5</sup>) species in the examined pH range. The developed nanoparticles are observed to be efficient in As<sup>V</sup> removal. This information could benefit field-scale arsenic removal units.https://www.mdpi.com/2073-4441/14/22/3617groundwaterarsenicmaghemite nanoparticlesTaguchi’s methodologyremoval characteristicsBallia
spellingShingle Ajay Kumar
Himanshu Joshi
Anil Kumar
Arsenate Removal from the Groundwater Employing Maghemite Nanoparticles
Water
groundwater
arsenic
maghemite nanoparticles
Taguchi’s methodology
removal characteristics
Ballia
title Arsenate Removal from the Groundwater Employing Maghemite Nanoparticles
title_full Arsenate Removal from the Groundwater Employing Maghemite Nanoparticles
title_fullStr Arsenate Removal from the Groundwater Employing Maghemite Nanoparticles
title_full_unstemmed Arsenate Removal from the Groundwater Employing Maghemite Nanoparticles
title_short Arsenate Removal from the Groundwater Employing Maghemite Nanoparticles
title_sort arsenate removal from the groundwater employing maghemite nanoparticles
topic groundwater
arsenic
maghemite nanoparticles
Taguchi’s methodology
removal characteristics
Ballia
url https://www.mdpi.com/2073-4441/14/22/3617
work_keys_str_mv AT ajaykumar arsenateremovalfromthegroundwateremployingmaghemitenanoparticles
AT himanshujoshi arsenateremovalfromthegroundwateremployingmaghemitenanoparticles
AT anilkumar arsenateremovalfromthegroundwateremployingmaghemitenanoparticles