Arsenic Removal from Mining Effluents Using Plant-Mediated, Green-Synthesized Iron Nanoparticles
Arsenic contamination in industrial and mining effluents has always been a serious concern. Recently, nano-sized iron particles have been proven effective in sorptive removal of arsenic, because of their unique surface characteristics. In this study, green synthesis of iron nanoparticles was perform...
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doaj-9dc0de9a74b2416889123beb828124152020-11-24T21:19:01ZengMDPI AGProcesses2227-97172019-10-0171075910.3390/pr7100759pr7100759Arsenic Removal from Mining Effluents Using Plant-Mediated, Green-Synthesized Iron NanoparticlesPari Karimi0Sepideh Javanshir1Mohammad Hossein Sayadi2Hoda Arabyarmohammadi3Mining Engineering Department, Faculty of Engineering, University of Birjand, Birjand 9717434765, IranMining Engineering Department, Faculty of Engineering, University of Birjand, Birjand 9717434765, IranEnvironmental Sciences Department, University of Birjand, Birjand 9717434765, IranMineral Processing Group, Mining Engineering Department, Tarbiat Modares University, Tehran 1411713116, IranArsenic contamination in industrial and mining effluents has always been a serious concern. Recently, nano-sized iron particles have been proven effective in sorptive removal of arsenic, because of their unique surface characteristics. In this study, green synthesis of iron nanoparticles was performed using a mixed extract of two plant species, namely <i>Prangos ferulacea</i> and <i>Teucrium polium</i>, for the specific purpose of arsenic (III) removal from the aqueous environment. Results of UV-visible spectrometry, X-ray powder diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR) analyses confirmed the formation of iron nanoparticles from <i>Prangos ferulacea (Pf)</i> and <i>Teucrium polium (Tp)</i> extracts. The synthesized Fe nanoparticles morphology was studied via microscopy imaging. The particle size was 42 nm, as assessed by dynamic light scattering (DLS) analysis. Adsorption experiments were also designed and performed, which indicated 93.8% arsenic removal from the aqueous solution at 200 rpm agitation rate, 20 min agitation time, pH 6, initial concentration of 0.1 g/L, and adsorbent dosage of 2 g/L. Adsorption isotherm models were investigated, and the maximum uptake capacity was determined to be about 61.7 mg/g. The kinetic data were best represented by the pseudo-second kinetic model (<i>R</i><sup>2</sup> = 0.99). The negative value of Gibbs free energy, the enthalpy (−7.20 kJ/mol), and the entropy (−57 J/mol·K) revealed the spontaneous and exothermic nature of the adsorption process. Moreover, the small quantity of the activation energy confirmed the physical mechanism of arsenic adsorption onto iron nanoparticles and that the process is not temperature sensitive.https://www.mdpi.com/2227-9717/7/10/759arsenic adsorptionisotherm modelprocess optimizationthermodynamicskinetics study |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pari Karimi Sepideh Javanshir Mohammad Hossein Sayadi Hoda Arabyarmohammadi |
spellingShingle |
Pari Karimi Sepideh Javanshir Mohammad Hossein Sayadi Hoda Arabyarmohammadi Arsenic Removal from Mining Effluents Using Plant-Mediated, Green-Synthesized Iron Nanoparticles Processes arsenic adsorption isotherm model process optimization thermodynamics kinetics study |
author_facet |
Pari Karimi Sepideh Javanshir Mohammad Hossein Sayadi Hoda Arabyarmohammadi |
author_sort |
Pari Karimi |
title |
Arsenic Removal from Mining Effluents Using Plant-Mediated, Green-Synthesized Iron Nanoparticles |
title_short |
Arsenic Removal from Mining Effluents Using Plant-Mediated, Green-Synthesized Iron Nanoparticles |
title_full |
Arsenic Removal from Mining Effluents Using Plant-Mediated, Green-Synthesized Iron Nanoparticles |
title_fullStr |
Arsenic Removal from Mining Effluents Using Plant-Mediated, Green-Synthesized Iron Nanoparticles |
title_full_unstemmed |
Arsenic Removal from Mining Effluents Using Plant-Mediated, Green-Synthesized Iron Nanoparticles |
title_sort |
arsenic removal from mining effluents using plant-mediated, green-synthesized iron nanoparticles |
publisher |
MDPI AG |
series |
Processes |
issn |
2227-9717 |
publishDate |
2019-10-01 |
description |
Arsenic contamination in industrial and mining effluents has always been a serious concern. Recently, nano-sized iron particles have been proven effective in sorptive removal of arsenic, because of their unique surface characteristics. In this study, green synthesis of iron nanoparticles was performed using a mixed extract of two plant species, namely <i>Prangos ferulacea</i> and <i>Teucrium polium</i>, for the specific purpose of arsenic (III) removal from the aqueous environment. Results of UV-visible spectrometry, X-ray powder diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR) analyses confirmed the formation of iron nanoparticles from <i>Prangos ferulacea (Pf)</i> and <i>Teucrium polium (Tp)</i> extracts. The synthesized Fe nanoparticles morphology was studied via microscopy imaging. The particle size was 42 nm, as assessed by dynamic light scattering (DLS) analysis. Adsorption experiments were also designed and performed, which indicated 93.8% arsenic removal from the aqueous solution at 200 rpm agitation rate, 20 min agitation time, pH 6, initial concentration of 0.1 g/L, and adsorbent dosage of 2 g/L. Adsorption isotherm models were investigated, and the maximum uptake capacity was determined to be about 61.7 mg/g. The kinetic data were best represented by the pseudo-second kinetic model (<i>R</i><sup>2</sup> = 0.99). The negative value of Gibbs free energy, the enthalpy (−7.20 kJ/mol), and the entropy (−57 J/mol·K) revealed the spontaneous and exothermic nature of the adsorption process. Moreover, the small quantity of the activation energy confirmed the physical mechanism of arsenic adsorption onto iron nanoparticles and that the process is not temperature sensitive. |
topic |
arsenic adsorption isotherm model process optimization thermodynamics kinetics study |
url |
https://www.mdpi.com/2227-9717/7/10/759 |
work_keys_str_mv |
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