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      Origin of the unusually strong and selective binding of vanadium by polyamidoximes in seawater

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          Abstract

          Amidoxime-functionalized polymeric adsorbents are the current state-of-the-art materials for collecting uranium (U) from seawater. However, marine tests show that vanadium (V) is preferentially extracted over U and many other cations. Herein, we report a complementary and comprehensive investigation integrating ab initio simulations with thermochemical titrations and XAFS spectroscopy to understand the unusually strong and selective binding of V by polyamidoximes. While the open-chain amidoxime functionalities do not bind V, the cyclic imide-dioxime group of the adsorbent forms a peculiar non-oxido V 5+ complex, exhibiting the highest stability constant value ever observed for the V 5+ species. XAFS analysis of adsorbents following deployment in environmental seawater confirms V binding solely by the imide-dioximes. Our fundamental findings offer not only guidance for future optimization of selectivity in amidoxime-based sorbent materials, but may also afford insight to understanding the extensive accumulation of V in some marine organisms.

          Abstract

          Amidoxime-functionalized polymeric adsorbents are the most promising materials for harvesting uranium from seawater. Here the authors investigate the preferential extraction of vanadium over uranium by polyamidoximes by exploring the unusually strong and selective binding of vanadium.

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          Seven chemical separations to change the world

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            Parameter-free calculations of X-ray spectra with FEFF9.

            We briefly review our implementation of the real-space Green's function (RSGF) approach for calculations of X-ray spectra, focusing on recently developed parameter free models for dominant many-body effects. Although the RSGF approach has been widely used both for near edge (XANES) and extended (EXAFS) ranges, previous implementations relied on semi-phenomenological methods, e.g., the plasmon-pole model for the self-energy, the final-state rule for screened core hole effects, and the correlated Debye model for vibrational damping. Here we describe how these approximations can be replaced by efficient ab initio models including a many-pole model of the self-energy, inelastic losses and multiple-electron excitations; a linear response approach for the core hole; and a Lanczos approach for Debye-Waller effects. We also discuss the implementation of these models and software improvements within the FEFF9 code, together with a number of examples.
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              Hyperquad simulation and speciation (HySS): a utility program for the investigation of equilibria involving soluble and partially soluble species

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                Author and article information

                Contributors
                abneycw@ornl.gov
                bryantsevv@ornl.gov
                lrao@lbl.gov
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                16 November 2017
                16 November 2017
                2017
                : 8
                : 1560
                Affiliations
                [1 ]ISNI 0000 0004 0446 2659, GRID grid.135519.a, Oak Ridge National Laboratory, ; Oak Ridge, TN 37831 USA
                [2 ]ISNI 0000 0001 2231 4551, GRID grid.184769.5, Lawrence Berkeley National Laboratory, ; Berkeley, CA 94720 USA
                [3 ]ISNI 0000 0001 2181 7878, GRID grid.47840.3f, University of California-Berkeley, ; Berkeley, CA 94720 USA
                [4 ]Present Address: U. S. Nuclear Regulatory Commission, Rockville, MD 20852 USA
                Author information
                http://orcid.org/0000-0002-8193-6673
                http://orcid.org/0000-0001-5179-2077
                http://orcid.org/0000-0002-8046-3931
                http://orcid.org/0000-0002-6501-6594
                Article
                1443
                10.1038/s41467-017-01443-1
                5691157
                29146970
                32e6a8ee-1054-42ed-b1af-b3e6f2aa71ad
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 5 July 2017
                : 19 September 2017
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