INTRODUCTION: Arsenic is a well known water contaminant that causes toxicological and carcinogenic effects. In this work magnetite nanoparticles were examined as possible arsenic sorbents. The objective of this work was to develop a sorption kinetics model, which could be used to predict the amount of arsenic adsorbed by magnetite nanoparticles in the presence of naturally occurring species using a first-order rate equation, modified to include adsorption, described by a Langmuir isotherm. DISCUSSION: Arsenate and arsenite adsorption to magnetite nanoparticles was studied, including the effect of naturally occurring species (sulfate, silica, calcium magnesium, dissolved organic matter, bicarbonate, iron, and phosphate) on adsorption. CONCLUSION: The model accurately predicts adsorption to magnetite nanoparticles used in a batch process to remove arsenic from spiked Houston, TX tap water, and contaminated Brownsville, TX groundwater.
INTRODUCTION:Arsenic is a well known water contaminant that causes toxicological and carcinogenic effects. In this work magnetite nanoparticles were examined as possible arsenic sorbents. The objective of this work was to develop a sorption kinetics model, which could be used to predict the amount of arsenic adsorbed by magnetite nanoparticles in the presence of naturally occurring species using a first-order rate equation, modified to include adsorption, described by a Langmuir isotherm. DISCUSSION: Arsenate and arsenite adsorption to magnetite nanoparticles was studied, including the effect of naturally occurring species (sulfate, silica, calcium magnesium, dissolved organic matter, bicarbonate, iron, and phosphate) on adsorption. CONCLUSION: The model accurately predicts adsorption to magnetite nanoparticles used in a batch process to remove arsenic from spiked Houston, TX tap water, and contaminated Brownsville, TX groundwater.
Authors: Aline Debrassi; Thaisa Baccarin; Carla Albertina Demarchi; Nataliya Nedelko; Anna Ślawska-Waniewska; Piotr Dłużewski; Marta Bilska; Clóvis Antonio Rodrigues Journal: Environ Sci Pollut Res Int Date: 2011-12-02 Impact factor: 4.223
Authors: Shu-Chi Chang; Yu-Han Yu; Cheng-Hao Li; Chin-Ching Wu; Hao-Yun Lei Journal: Int J Environ Res Public Health Date: 2012-10-16 Impact factor: 3.390