<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>27250</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>8</pageNumber>
    <edition/>
    <issue/>
    <volume>46</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2021-03-29</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Cu supported Fe-SiO2 nanocomposites for reverse water gas shift reaction</title>
    <abstract language="eng">This work analyses the catalytic activity displayed by Cu/SiO2, Cu-Fe/SiO2 and Cu/FSN (Fe-SiO2 nanocomposite) catalysts for the Reverse Water Gas Shift reaction. Compared to Cu/SiO2 catalyst, the presence of Fe resulted on higher CO’s selectivity and boosted resistances against the constitution of the deactivation carbonaceous species.&#13;
Regarding the catalytic performance however, the extent of improvement attained through incorporation Fe species strongly relied on the catalysts’ configuration. At 30 L/gh and H2:CO2 ratios = 3, the performance of the catalysts’ series increased according to the sequence: Cu/SiO2 &lt; Cu-Fe/SiO2 &lt;&lt; Cu/FSN. The remarkable catalytic&#13;
enhancements provided by Fe-SiO2 nanocomposites under different RWGS reaction atmospheres were associated to enhanced catalyst surface basicity’s and stronger Cu-support interactions. The catalytic promotion achieved by Fe-SiO2 nanocomposites argue an optimistic prospective for nanocomposite catalysts within future&#13;
CO2-valorising technologies.</abstract>
    <parentTitle language="eng">Journal of CO2 Utilization</parentTitle>
    <identifier type="doi">10.1016/j.jcou.2021.101493</identifier>
    <identifier type="issn">2212-9820</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="Artikelnummer">101493</enrichment>
    <enrichment key="Fprofil">1 Energiewende und Dekarbonisierung / Energy Transition and Decarbonisation</enrichment>
    <enrichment key="Fprofil">4 Künstliche Intelligenz und Sensorik / Artificial Intelligence and Sensor Technology</enrichment>
    <author>
      <firstName>Miriam</firstName>
      <lastName>González-Castaño</lastName>
    </author>
    <submitter>
      <firstName>Renate</firstName>
      <lastName>Choyna</lastName>
    </submitter>
    <author>
      <firstName>Juan Carlos</firstName>
      <lastName>Navarro de Miguel</lastName>
    </author>
    <author>
      <firstName>F.</firstName>
      <lastName>Sinha</lastName>
    </author>
    <author>
      <firstName>Samuel</firstName>
      <lastName>Ghomsi Wabo</lastName>
    </author>
    <author>
      <firstName>Olaf</firstName>
      <lastName>Klepel</lastName>
    </author>
    <author>
      <firstName>Harvey</firstName>
      <lastName>Arellano-García</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Cu catalysts</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fe-doped silica</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Nanocomposites</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Reverse water gas shift reaction</value>
    </subject>
    <collection role="institutes" number="2205">FG Technische Chemie</collection>
    <collection role="institutes" number="3603">FG Prozess- und Anlagentechnik</collection>
  </doc>
  <doc>
    <id>28702</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>7</pageNumber>
    <edition/>
    <issue/>
    <volume>Vol. 319</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-03-22</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Development of one-pot Cu/cellulose derived carbon catalysts for RWGS reaction</title>
    <abstract language="eng">A series of Cu-based catalysts promoted with Fe, Ce and Al supported on cellulose derived carbon (CDC) was prepared by biomorphic mineralization technique for the RWGS reaction. The excellent Cu dispersions (7 nm at ca. 30 wt% Cu) along with the resilience toward metal sintering attained in the entire catalysts series highlight one-pot decomposition of cellulose under reducing atmosphere as an excellent synthesis method which enable obtaining well-dispersed Cu nanoparticles. The influence of incorporating a second metal oxide over biomorphic mineralized Cu systems was also investigated. With the Cu-Ce system exhibiting the best catalyst performance of the catalysts’ series, the enhanced catalyst performances were majorly ascribed to the catalysts redox properties. The lineal relationships stablished between oxygen exchange capacity and CO2 conversion rates remarks the employed sequential H2/CO2 cycles as an effective methodology for screening the catalytic performance of Cu catalysts for RWGS reaction.</abstract>
    <parentTitle language="eng">Fuel</parentTitle>
    <identifier type="doi">10.1016/j.fuel.2022.123707</identifier>
    <identifier type="issn">0016-2361</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="Artikelnummer">123707</enrichment>
    <enrichment key="Fprofil">1 Energiewende und Dekarbonisierung / Energy Transition and Decarbonisation</enrichment>
    <enrichment key="Fprofil">4 Künstliche Intelligenz und Sensorik / Artificial Intelligence and Sensor Technology</enrichment>
    <author>
      <firstName>Pilar</firstName>
      <lastName>Tarifa</lastName>
    </author>
    <submitter>
      <firstName>Renate</firstName>
      <lastName>Choyna</lastName>
    </submitter>
    <author>
      <firstName>Miriam</firstName>
      <lastName>González-Castaño</lastName>
    </author>
    <author>
      <firstName>F.</firstName>
      <lastName>Cazaña</lastName>
    </author>
    <author>
      <firstName>Antonio</firstName>
      <lastName>Monzón</lastName>
    </author>
    <author>
      <firstName>Harvey</firstName>
      <lastName>Arellano-García</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>RWGS</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Cu catalysts</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Oxygen exchange capacity</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Cellulose derived carbon</value>
    </subject>
    <collection role="institutes" number="3603">FG Prozess- und Anlagentechnik</collection>
  </doc>
</export-example>
