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    <responseDate>2026-10-14T08:09:05Z</responseDate>
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    <identifier>10.57760/sciencedb.41928</identifier>
    <datestamp>2026-07-03T09:30:50Z</datestamp>
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  <dc:date>2026-07-03</dc:date>
  <dc:title>Radiation Grafting Construction of Amidoxime-Functionalized Carbon Nanotubes and Their Uranium Adsorption Performance Data</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.41928</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The efficient extraction of uranium from aqueous solutions is critical for the sustainable development of nuclear energy. In this study, amidoxime-functionalized multi-walled carbon nanotubes (AO-MWCNTs) featuring a distinct core-shell &amp;ldquo;polymer brush&amp;rdquo; architecture were synthesized via a catalyst-free radiation-induced grafting polymerization (RIGP) strategy. The resulting adsorbent exhibited high affinity toward U(VI), achieving a maximum adsorption capacity of 84.30 mg/g at pH 5.0. Adsorption kinetics and isotherms aligned with the pseudo-second-order and Freundlich models, respectively, indicating a chemisorption-dominated process on a heterogeneous surface. Furthermore, AO-MWCNTs demonstrated significant photothermal-enhanced adsorption capabilities. Under simulated solar irradiation (100 mW/cm&amp;sup2; for 24 h), the material achieved near-complete removal of uranium (&amp;gt;99.99%), reducing residual concentrations below the limit of detection. This enhancement is attributed to localized interfacial heating induced by the photothermal effect of the CNTs, which accelerates ion diffusion and thermodynamically promotes the endothermic coordination reaction. X-ray photoelectron spectroscopy (XPS) confirmed that U(VI) capture occurs via stable bidentate chelation with oxime nitrogen and oxygen atoms. This study presents a viable, solar-driven strategy for the remediation of uranium-contaminated water.</dc:description>
  <dc:subject>Uranium extraction; Carbon nanotubes; Radiation grafting; Photothermal effect</dc:subject>
  <dc:creator>li jiu cheng</dc:creator>
  <dc:creator>Hu Jiangtao</dc:creator>
  <dc:creator>Wu Guozhong</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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