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    <responseDate>2026-10-11T23:02:32Z</responseDate>
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    <identifier>10.57760/sciencedb.42582</identifier>
    <datestamp>2026-07-09T10:09:42Z</datestamp>
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  <dc:date>2026-07-09</dc:date>
  <dc:title>Catalytic Performance and Mechanism of Mn-Based Bimetallic Oxides for Toluene Degradation</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.42582</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>To address the demand for efficient abatement of volatile organic compounds (VOCs) in oilfield associated gas, a series of M-Mn bimetallic oxide catalysts incorporating different precursors (Co, Cu, Ce, La, Sm) were synthesized via a redox-precipitation method. The role of various metal components in modulating the phase structure of the Mn-based catalysts was systematically investigated. Toluene, a typical aromatic compound, was employed as the model pollutant to comprehensively evaluate the catalytic activity of the prepared samples and elucidate the reaction mechanism of the optimal catalyst. Among the catalysts, CeMnOx exhibited the best catalytic performance, with an ignition temperature (T10) of 102 &amp;deg;C and a 90% conversion temperature (T90) of 168 &amp;deg;C for 11265 mg&amp;middot;m&amp;minus;3 toluene degradation, along with excellent CO2 selectivity. Such outstanding performance can be ascribed to the large specific surface area, uniform pore structure, strong synergistic interaction, abundant surface active oxygen species, and appropriate ratio of adsorbed oxygen (Oads) to surface lattice oxygen (Olatt). It is proposed that Oads dominates the reaction at low temperatures through the Langmuir-Hinshelwood mechanism, while Olatt prevails at elevated temperatures via the Mars-van Krevelen mechanism. This study provides both theoretical insights and technical guidance for the thermal catalytic elimination of aromatic VOCs over Mn-based catalysts.</dc:description>
  <dc:subject>oilfield associated gas; toluene; thermal catalytic oxidation; M-Mn bimetallic oxides; reaction mechanism</dc:subject>
  <dc:creator>Li Xuelian</dc:creator>
  <dc:creator>Li Keyao</dc:creator>
  <dc:creator>Huang Zimeng</dc:creator>
  <dc:creator>Ma Tianqi</dc:creator>
  <dc:creator>Lv Lei</dc:creator>
  <dc:creator>Shan Yuting</dc:creator>
  <dc:creator>Qi Yanxing</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.3724/j.issn1001-3555.2026.04.008</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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