Abstract
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.
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Acknowledgment
This research was financially supported by the National Science Foundation through the Center for Biological and Environmental Nanotechnology at Rice University (EEC-0118007) and USEPA Office of Research and Development/National Center for Environmental Research/Science to Achieve Results nanotechnology program. In addition, the work was also supported by a consortium of companies including Aramco, Baker-Petrolite, BJ Chemical Services, BP, Champion Technologies, Chevron, Clariant, ConocoPhillips, Halliburton, Kemira, Marathon Oil, Nalco, Occidental Oil and Gas, Shell, StatOil, and Total. We thank Jude Benavides at University of Texas at Brownsville and Southmost College and The Southmost Regional Water Authority Brackish Desalination Plant.
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Shipley, H.J., Yean, S., Kan, A.T. et al. A sorption kinetics model for arsenic adsorption to magnetite nanoparticles. Environ Sci Pollut Res 17, 1053–1062 (2010). https://doi.org/10.1007/s11356-009-0259-5
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DOI: https://doi.org/10.1007/s11356-009-0259-5