Abstract
The impact of arsenic (As) contamination of water is an ongoing concern worldwide with As released from anthropogenic activities including mining and agriculture. Biosorption is a promising As treatment methodology used currently for arsenate (As(V)) sorption from water. The biosorbent was developed by a simple and inexpensive treatment of coating of canola straw particles with iron hydroxides. The modification procedure was optimized with consideration of the concentration of iron solution, pH of modification process, and sonication time. A higher concentration of iron and lower pH led to an improved sorption capacity of the iron-loaded canola straw (ICS), while impacts of sonication time were not conclusive. Pareto analyses indicated that the magnitude of the effect of the pH was higher than that of the iron concentration. Overall, the maximum As(V) sorption capacity of the ICS was 5.5 mg/g for an 0.25 M FeCl3 solution concentration at pH 3. Analysis of kinetic data showed that the sorption processes of As(V) followed pseudo-second order and Elovich mechanisms, while sorption isotherm data were best represented by Freundlich and Temkin isotherm models. Studying the effect of ionic strength using NaCl suggested that the inner-sphere complex was the probable sorption mechanism. The thermodynamic parameters including ΔS°, ΔH°, and ΔG° showed that the As(V) sorption was thermodynamically favorable and spontaneous. Arsenic K-edge X-ray absorption near edge structure (XANES) spectroscopy indicated that no reaction to As(III) occurred during the sorption of As(V) using the optimum ICS biosorbent. The evolutionary polynomial regression (EPR) approach was able to closely match predicted vs. experimental sorption capacities (R2 = 0.95). Overall, the improved understanding of the biosorbent’s capability for removal of As(V) will be beneficial for assessment of its use for treatment of various water and wastewater matrices. In addition, knowledge gained from this research can assist in the understanding of sorption capacities of a variety of other biosorbents.
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Acknowledgments
This research was financially supported by two NSERC Discovery Grants (K. McPhedran and J. Soltan). We would also like to extend our thanks to the College of Graduate and Postdoctoral Studies, the University of Saskatchewan, for financial support in the form of a Dean’s Scholarship (K. Benis).
The XANES and XRD analyses were performed using BioXAS-Spectroscopy and BXDS-WLE beamlines at the Canadian Light Source, which is supported by the Canada Foundation for Innovation (CFI), the Natural Sciences and Engineering Research Council (NSERC), the National Research Council (NRC), the Canadian Institutes of Health Research (CIHR), the Government of Saskatchewan, and the University of Saskatchewan. The authors are thankful to beamline scientists Roman Chernikov, Emilio Heredia, Beatriz Moreno, and Graham King for their contribution.
Funding
This research was financially supported by two NSERC Discovery Grants (K. McPhedran and J. Soltan). We would also like to extend our thanks to the College of Graduate and Postdoctoral Studies, the University of Saskatchewan, for financial support in the form of a Dean’s Scholarship (K. Benis).
The XANES and XRD analyses were performed using BioXAS-Spectroscopy and BXDS-WLE beamlines at the Canadian Light Source, which is supported by the Canada Foundation for Innovation (CFI), the Natural Sciences and Engineering Research Council (NSERC), the National Research Council (NRC), the Canadian Institutes of Health Research (CIHR), the Government of Saskatchewan, and the University of Saskatchewan.
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KZB performed all experiments with assistance from MS. KZB, JS, and KNM were major contributors to the manuscript. All authors read and approved the final manuscript.
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Zoroufchi Benis, K., Shakouri, M., McPhedran, K. et al. Enhanced arsenate removal by Fe-impregnated canola straw: assessment of XANES solid-phase speciation, impacts of solution properties, sorption mechanisms, and evolutionary polynomial regression (EPR) models. Environ Sci Pollut Res 28, 12659–12676 (2021). https://doi.org/10.1007/s11356-020-11140-0
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DOI: https://doi.org/10.1007/s11356-020-11140-0