Dehydration of Xylose to Furfural in a Biphasic System: Catalyst Selection and Kinetic Modelling Discrimination

Dominik Soukup-Carne, Ben Hillman, Christopher Parlett, Xiaolei Fan, Jesus Esteban

Research output: Contribution to journalArticlepeer-review

Abstract

Furfural (Fur) represents an interesting bio-based platform chemical to pave the way to enhanced biorefinery integration in the modern chemicals industry. The production of this xylose- derived compound by its dehydration is catalysed by Brønsted acidity and has effectively been performed in biphasic systems using methyl isobutyl ketone (MIBK), where furfural is effectively partitioned. A selection of commercially available solid-acid catalysts were evaluated (different ion exchange resins, zeolites and sulfated zirconia), with top candidates being subjected to recycling experiments over six runs with carbon deposition removal and acid site regeneration. A sulfated zirconia (SO2/ZrO2-1) catalyst proved effective with maximum yield of Fur of 53.8% after 180 mins at 160 °C, with xylose conversion of 98.4%. A phenomenological approach to model developments was employed to describe the formation of each component of the reaction scheme and distribution in a biphasic system, with 18 separate kinetic models including both homo- and heterogeneous reaction pathways reported. The most optimal model, identified through statistical model discrimination (RMSE = 0.088), was a pseudohomogenous model with first order reaction kinetics for xylose conversion to Fur via a reactive intermediate and second order with respect to humin formation. Apparent activation energies for xylose dehydration were reported at 44.70 ± 7.89 kJ mol-−1, with results stating the formation of Fur proceeded preferentially through this reactive intermediate.
Original languageEnglish
JournalReaction Chemistry & Engineering
Early online date4 Jan 2025
DOIs
Publication statusE-pub ahead of print - 4 Jan 2025

Keywords

  • Biomass
  • Furfural
  • Sulfated Zirconia
  • in situ Extraction
  • Process Intensification
  • Kinetic Model Discrimination

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