Cargando…

Synthesis and Performance Evaluation of Novel Bentonite-Supported Nanoscale Zero Valent Iron for Remediation of Arsenic Contaminated Water and Soil

Groundwater arsenic (As) pollution is a naturally occurring phenomenon posing serious threats to human health. To mitigate this issue, we synthesized a novel bentonite-based engineered nano zero-valent iron (nZVI-Bento) material to remove As from contaminated soil and water. Sorption isotherm and ki...

Descripción completa

Detalles Bibliográficos
Autores principales: Raza, Md Basit, Datta, Siba Prasad, Golui, Debasis, Barman, Mandira, Das, Tapas Kumar, Sahoo, Rabi Narayan, Upadhyay, Devi, Rahman, Mohammad Mahmudur, Behera, Biswaranjan, Naveenkumar, A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10004430/
https://www.ncbi.nlm.nih.gov/pubmed/36903414
http://dx.doi.org/10.3390/molecules28052168
_version_ 1784904830784897024
author Raza, Md Basit
Datta, Siba Prasad
Golui, Debasis
Barman, Mandira
Das, Tapas Kumar
Sahoo, Rabi Narayan
Upadhyay, Devi
Rahman, Mohammad Mahmudur
Behera, Biswaranjan
Naveenkumar, A
author_facet Raza, Md Basit
Datta, Siba Prasad
Golui, Debasis
Barman, Mandira
Das, Tapas Kumar
Sahoo, Rabi Narayan
Upadhyay, Devi
Rahman, Mohammad Mahmudur
Behera, Biswaranjan
Naveenkumar, A
author_sort Raza, Md Basit
collection PubMed
description Groundwater arsenic (As) pollution is a naturally occurring phenomenon posing serious threats to human health. To mitigate this issue, we synthesized a novel bentonite-based engineered nano zero-valent iron (nZVI-Bento) material to remove As from contaminated soil and water. Sorption isotherm and kinetics models were employed to understand the mechanisms governing As removal. Experimental and model predicted values of adsorption capacity (q(e) or q(t)) were compared to evaluate the adequacy of the models, substantiated by error function analysis, and the best-fit model was selected based on corrected Akaike Information Criterion (AICc). The non-linear regression fitting of both adsorption isotherm and kinetic models revealed lower values of error and lower AICc values than the linear regression models. The pseudo-second-order (non-linear) fit was the best fit among kinetic models with the lowest AICc values, at 57.5 (nZVI-Bare) and 71.9 (nZVI-Bento), while the Freundlich equation was the best fit among the isotherm models, showing the lowest AICc values, at 105.5 (nZVI-Bare) and 105.1 (nZVI-Bento). The adsorption maxima (q(max)) predicted by the non-linear Langmuir adsorption isotherm were 354.3 and 198.5 mg g(−1) for nZVI-Bare and nZVI-Bento, respectively. The nZVI-Bento successfully reduced As in water (initial As concentration = 5 mg L(−1); adsorbent dose = 0.5 g L(−1)) to below permissible limits for drinking water (10 µg L(−1)). The nZVI-Bento @ 1% (w/w) could stabilize As in soils by increasing the amorphous Fe bound fraction and significantly diminish the non-specific and specifically bound fraction of As in soil. Considering the enhanced stability of the novel nZVI-Bento (upto 60 days) as compared to the unmodified product, it is envisaged that the synthesized product could be effectively used for removing As from water to make it safe for human consumption.
format Online
Article
Text
id pubmed-10004430
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-100044302023-03-11 Synthesis and Performance Evaluation of Novel Bentonite-Supported Nanoscale Zero Valent Iron for Remediation of Arsenic Contaminated Water and Soil Raza, Md Basit Datta, Siba Prasad Golui, Debasis Barman, Mandira Das, Tapas Kumar Sahoo, Rabi Narayan Upadhyay, Devi Rahman, Mohammad Mahmudur Behera, Biswaranjan Naveenkumar, A Molecules Article Groundwater arsenic (As) pollution is a naturally occurring phenomenon posing serious threats to human health. To mitigate this issue, we synthesized a novel bentonite-based engineered nano zero-valent iron (nZVI-Bento) material to remove As from contaminated soil and water. Sorption isotherm and kinetics models were employed to understand the mechanisms governing As removal. Experimental and model predicted values of adsorption capacity (q(e) or q(t)) were compared to evaluate the adequacy of the models, substantiated by error function analysis, and the best-fit model was selected based on corrected Akaike Information Criterion (AICc). The non-linear regression fitting of both adsorption isotherm and kinetic models revealed lower values of error and lower AICc values than the linear regression models. The pseudo-second-order (non-linear) fit was the best fit among kinetic models with the lowest AICc values, at 57.5 (nZVI-Bare) and 71.9 (nZVI-Bento), while the Freundlich equation was the best fit among the isotherm models, showing the lowest AICc values, at 105.5 (nZVI-Bare) and 105.1 (nZVI-Bento). The adsorption maxima (q(max)) predicted by the non-linear Langmuir adsorption isotherm were 354.3 and 198.5 mg g(−1) for nZVI-Bare and nZVI-Bento, respectively. The nZVI-Bento successfully reduced As in water (initial As concentration = 5 mg L(−1); adsorbent dose = 0.5 g L(−1)) to below permissible limits for drinking water (10 µg L(−1)). The nZVI-Bento @ 1% (w/w) could stabilize As in soils by increasing the amorphous Fe bound fraction and significantly diminish the non-specific and specifically bound fraction of As in soil. Considering the enhanced stability of the novel nZVI-Bento (upto 60 days) as compared to the unmodified product, it is envisaged that the synthesized product could be effectively used for removing As from water to make it safe for human consumption. MDPI 2023-02-25 /pmc/articles/PMC10004430/ /pubmed/36903414 http://dx.doi.org/10.3390/molecules28052168 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Raza, Md Basit
Datta, Siba Prasad
Golui, Debasis
Barman, Mandira
Das, Tapas Kumar
Sahoo, Rabi Narayan
Upadhyay, Devi
Rahman, Mohammad Mahmudur
Behera, Biswaranjan
Naveenkumar, A
Synthesis and Performance Evaluation of Novel Bentonite-Supported Nanoscale Zero Valent Iron for Remediation of Arsenic Contaminated Water and Soil
title Synthesis and Performance Evaluation of Novel Bentonite-Supported Nanoscale Zero Valent Iron for Remediation of Arsenic Contaminated Water and Soil
title_full Synthesis and Performance Evaluation of Novel Bentonite-Supported Nanoscale Zero Valent Iron for Remediation of Arsenic Contaminated Water and Soil
title_fullStr Synthesis and Performance Evaluation of Novel Bentonite-Supported Nanoscale Zero Valent Iron for Remediation of Arsenic Contaminated Water and Soil
title_full_unstemmed Synthesis and Performance Evaluation of Novel Bentonite-Supported Nanoscale Zero Valent Iron for Remediation of Arsenic Contaminated Water and Soil
title_short Synthesis and Performance Evaluation of Novel Bentonite-Supported Nanoscale Zero Valent Iron for Remediation of Arsenic Contaminated Water and Soil
title_sort synthesis and performance evaluation of novel bentonite-supported nanoscale zero valent iron for remediation of arsenic contaminated water and soil
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10004430/
https://www.ncbi.nlm.nih.gov/pubmed/36903414
http://dx.doi.org/10.3390/molecules28052168
work_keys_str_mv AT razamdbasit synthesisandperformanceevaluationofnovelbentonitesupportednanoscalezerovalentironforremediationofarseniccontaminatedwaterandsoil
AT dattasibaprasad synthesisandperformanceevaluationofnovelbentonitesupportednanoscalezerovalentironforremediationofarseniccontaminatedwaterandsoil
AT goluidebasis synthesisandperformanceevaluationofnovelbentonitesupportednanoscalezerovalentironforremediationofarseniccontaminatedwaterandsoil
AT barmanmandira synthesisandperformanceevaluationofnovelbentonitesupportednanoscalezerovalentironforremediationofarseniccontaminatedwaterandsoil
AT dastapaskumar synthesisandperformanceevaluationofnovelbentonitesupportednanoscalezerovalentironforremediationofarseniccontaminatedwaterandsoil
AT sahoorabinarayan synthesisandperformanceevaluationofnovelbentonitesupportednanoscalezerovalentironforremediationofarseniccontaminatedwaterandsoil
AT upadhyaydevi synthesisandperformanceevaluationofnovelbentonitesupportednanoscalezerovalentironforremediationofarseniccontaminatedwaterandsoil
AT rahmanmohammadmahmudur synthesisandperformanceevaluationofnovelbentonitesupportednanoscalezerovalentironforremediationofarseniccontaminatedwaterandsoil
AT beherabiswaranjan synthesisandperformanceevaluationofnovelbentonitesupportednanoscalezerovalentironforremediationofarseniccontaminatedwaterandsoil
AT naveenkumara synthesisandperformanceevaluationofnovelbentonitesupportednanoscalezerovalentironforremediationofarseniccontaminatedwaterandsoil