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    <identifier>10.57760/sciencedb.Partic.00069</identifier>
    <datestamp>2024-10-18T09:33:55Z</datestamp>
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  <dc:date>2024-10-18</dc:date>
  <dc:title>Using waste to treat waste: Red mud induced hierarchical porous &amp;gamma;-AlOOH and &amp;gamma;-Al2O3 microspheres as superior Pd support for catalytic reduction of 4-nitrophenol</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.partic.00069</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Toward the imperative treatment of the industrial wastewater containing 4-nitrophenol (4-NP) and industrial solid waste red mud (RM), an innovative approach of &amp;ldquo;Using waste to treat waste&amp;rdquo; is developed. Valuable element Al is leached from the RM first, the resultant NaAlO2 solution is hydrothermally converted to &amp;gamma;-AlOOH hierarchical porous microspheres (RM &amp;gamma;-AlOOH HPMSs, average diameter: 2.0 &amp;mu;m, SBET: 77.81 m2 g&amp;ndash;1, pore volume: 0.38 cm3 g&amp;ndash;1) in the presence of urea. The subsequent mild thermal conversion results in &amp;gamma;-Al2O3 hierarchical porous microspheres (RM &amp;gamma;-Al2O3 HPMSs). Both of the RM &amp;gamma;-AlOOH and RM &amp;gamma;-Al2O3 HPMSs are employed as the Pd catalyst support for the catalytic reduction of 4-NP. Particularly, the as-obtained composite Pd/RM &amp;gamma;-AlOOH and Pd/RM &amp;gamma;-Al2O3 exhibit excellent catalytic activities with superior knor as 8204.5 and 4831.4 s&amp;ndash;1 g&amp;ndash;1, respectively, significantly higher than that of most Pd based catalysts. Moreover, the excellent catalytic stability and durability of the Pd/RM &amp;gamma;-AlOOH and Pd/RM &amp;gamma;-Al2O3 within 10 successive cycles of reduction enable the present industrial solid waste RM induced &amp;gamma;-AlOOH and &amp;gamma;-Al2O3 HPMSs as great promising Pd catalyst support for the reduction of the industrial wastewater containing 4-NP.</dc:description>
  <dc:subject>Red mud; waste treatment; hierarchical porous; AlOOH; Al2O3; 4-nitrophenol</dc:subject>
  <dc:creator>Yuyu Zheng</dc:creator>
  <dc:creator>Jingyi Wang</dc:creator>
  <dc:creator>Panpan Sun</dc:creator>
  <dc:creator>Huimin Xue</dc:creator>
  <dc:creator>Liyun Zhang</dc:creator>
  <dc:creator>Jinxiu Chen</dc:creator>
  <dc:creator>Heng Zhang</dc:creator>
  <dc:creator>Wancheng Zhu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/https://doi.org/10.1016/j.partic.2022.04.001</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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