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    <identifier>10.57760/sciencedb.j00124.00272</identifier>
    <datestamp>2025-11-20T12:26:42Z</datestamp>
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  <dc:date>2025-11-20</dc:date>
  <dc:title>Research on Direct Oxidation of Methanol to Polyoxymethylene Dimethyl Ethers over NASICON-Based Catalytic Materials</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00124.00272</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Polyoxymethylene dimethyl ethers (DMMx) are highly promising clean diesel additives. Compared to the traditional aldol condensation route, the one-step oxidative method for producing DMMx directly from methanol is a green synthesis route with significant advantages. However, due to the complexity of the reaction, a balance must be struck between oxidation depth and C&amp;ndash;O chain growth efficiency. This imposes specific requirements on the design of catalysts with multifunctional active sites: the catalyst should possess appropriate oxidative activity, suitable acid strength distribution, and effective synergy between these two functions. To address these challenges, this study designed a sulfuric acid-modified molybdenum-doped NASICON catalyst, which demonstrated favorable catalytic performance in the one-step oxidative synthesis of DMMx from methanol. Over the NSC-Mo-0.5-30% catalyst, methanol conversion of 81.3% and&amp;nbsp;DMMx selectivity of 58.7% were achieved respectively, along with the formation of heavier molecules, as evidenced by a DMM2&amp;ndash;6 selectivity of 11.3%. The results of NH3-TPD, Py-IR, and XPS indicate that the introduction of molybdenum increase the number of weak Lewis acid sites, while sulfuric acid impregnation not only constructs gradient-distributed Br&amp;oslash;nsted acid sites but also promotes the formation of Mo5+/Mo6+ redox pairs. The cooperation of the two types of active sites significantly promotes the improvement of catalyst performance.</dc:description>
  <dc:subject>C-O链增长; 氧化; 酸性</dc:subject>
  <dc:creator>Cheng Yitao</dc:creator>
  <dc:creator>Wang Xiaqing</dc:creator>
  <dc:creator>Gao Xiujuan</dc:creator>
  <dc:creator>Song Faen</dc:creator>
  <dc:creator>Wang Xiaoxing</dc:creator>
  <dc:creator>Wu Yingquan</dc:creator>
  <dc:creator>Zhang Junfeng</dc:creator>
  <dc:creator>Han Yizhuo</dc:creator>
  <dc:creator>Zhang Qingde</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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