Catalytic Transformation of Biomass-Derived 5-Hydroxymethylfurfural over Supported Bimetallic Iridium-Based Catalysts

  • Ricardo J. Chimentão
  • , Héctor Oliva
  • , Vincenzo Russo
  • , Jordi Llorca
  • , José L.G. Fierro
  • , Päivi Mäki-Arvela
  • , D. Yu Murzin
  • , Doris Ruiz*
  • *Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

14 Citations (Scopus)
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Abstract

5-Hydroxymethylfurfural (HMF) is a biobased platform chemical that can be valorized into a spectrum of valuable products. In this report, supported Ir, Ir-Co, Ir-Ni, and Ir-Ru catalysts were investigated for this purpose. Only hydrogenation of HMF to 2,5-bis-(hydroxymethyl)furan (BHMF) occurred over all catalysts. The effect of the second metal (Co, Ni, and Ru) on Ir/SiO2 was reflected by the kinetic constants being in the order Ir-Ni/SiO2 > Ir-Co/SiO2 > Ir-Ru/SiO2. The oxophilic nature of the secondary metal improved the catalytic performance of the bimetallic catalysts compared to the monometallic iridium catalyst (Ir/SiO2). Addition of HCOOH and H2SO4 as cocatalysts is a strategy to reach one-pot conversion of HMF to 2,5-di-methylfuran (DMF). Over-hydrogenolysis products such as 2,5-dimethyltetrahydrofuran were formed when only H2SO4 was added, giving higher activity compared to addition of HCOOH. Simultaneous presence of acids gave the highest HMF conversion, promoting esterification to 5-formyloxymethyl furfural and allowing the one-pot transformation of HMF to DMF. Thermodynamic analysis of HMF transformations revealed that both hydrogenation and dehydration steps are feasible.

Original languageEnglish
Pages (from-to)9657-9678
JournalJournal of Physical Chemistry C
Volume125
Issue number18
Early online date28 Apr 2021
DOIs
Publication statusPublished - 13 May 2021
MoE publication typeA1 Journal article-refereed

Funding

The authors are grateful to FONDECYT 1201936 and FONDECYT 1180243 for the financial support. J.L. is a Serra Húnter fellow and is grateful to the ICREA Academia program and project 2017 SGR 128 (Generalitat de Catalunya). Authors would like to thank to our wonderful colleague J.L.G. Fierro for his contribution in this work related to analysis techniques, specifically for his brilliant contribution in the XPS field. This paper is dedicated to his memory.

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