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A poly(acrylonitrile)-functionalized porous aromatic framework synthesized by atom-transfer radical polymerization for the extraction of uranium from seawater

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Abstract

In order to ensure a sustainable reserve of fuel for nuclear power generation, tremendous research efforts have been devoted to developing advanced sorbent materials for extracting uranium from seawater. In this work, a porous aromatic framework (PAF) was surface-functionalized with poly(acrylonitrile) through atom-transfer radical polymerization (ATRP). Batches of this adsorbent were conditioned with potassium hydroxide (KOH) at room temperature or 80 °C prior to contact with a uranium-spiked seawater simulant, with minimal differences in uptake observed as a function of conditioning temperature. A maximum capacity of 4.81 g-U/kg-ads was obtained following 42 days contact with uranium-spiked filtered environmental seawater, which demonstrates a comparable adsorption rate. A kinetic investigation revealed extremely rapid uranyl uptake, with more than 80% saturation reached within 14 days. Relying on the semiordered structure of the PAF adsorbent, density functional theory (DFT) calculations reveal cooperative interactions between multiple adsorbent groups yield a strong driving force for uranium binding.

Original languageEnglish
Pages (from-to)4125-4129
Number of pages5
JournalIndustrial and Engineering Chemistry Research
Volume55
Issue number15
DOIs
StatePublished - Oct 30 2015

Funding

This work was sponsored by the U.S. Department of Energy, Office of Nuclear Energy, under Contract No. DE-AC05-00OR22725 with Oak Ridge National Laboratory, managed by UT-Battelle, LLC. This work was sponsored by the U.S. Department of Energy, Office of Nuclear Energy, under Contract No. DE-AC05-00OR22725 with Oak Ridge National Laboratory, managed by UT-Battelle, LLC. Electron microscopy (J.C. and D.K.H.) experiments were conducted at the Center for Nanophase Materials Sciences, which is a DOE Office of Science User Facility. DFT computation (Q.T. and D.J.) was supported by DOE Office of Nuclear Energy - Nuclear Energy University Programs (Grant No. DE-NE0008397) and resources of the National Energy Research Scientific Computing Center, which is a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy, under Contract No. DE-AC02-05CH11231.

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