Computational Analysis of Byproduct Formation: Furfural Hydrogenation

VASP/NEB pathways analysis and selectivity of Pt vs PtSn catalytic surfaces

VASP DFT & NEB
Pt vs PtSn Catalytic Surfaces
Mechanistic Studies
Catalyst Surface Selectivity

Background

Hydrogenation of furfural, a process used to convert biomass into useful chemicals, can sometimes produce unwanted byproducts like furan and THF due to breaking carbon–carbon bonds. We use computational simulations such as VASP DFT and NEB to study the reaction at the atomic level and explain why pure platinum (Pt) and platinum–tin (PtSn) alloy surfaces favor different reaction pathways, helping us understand which surface produces more of the desired product

Methods

  • VASP Density Functional Theory (DFT) for relaxations of initial and final states and thermodynamic analysis
  • Nudged Elastic Band (NEB) for reaction coordinates and kinetically feasible routes
  • Surface Models: Pt(111) vs PtSn with distinct H binding characteristics

Key Results

  • Pt(111): strong H bindings → C–C scission routes accessible → byproducts
  • PtSn: Sn donation weakens local H binding and raises barriers (~2 eV) for unwanted routes, while keeping carbonyl hydrogenation favorable/selective

Impact

Electronic modification by Sn explains the improved selectivity of PtSn catalysts, providing a mechanistic basis for designing alloy surfaces that minimize byproduct formation in biomass upgrading

Desirable vs Undesirable pathways
Mechanisms for furfural hydrogenation showing formation of the desired product, furfuryl alcohol, and undesired byproducts, including furan and tetrahydrofuran

Desirable vs Undesirable pathways
Variation in hydrogen binding energy at different adsorption sites on the PtSn alloy surface

Desirable vs Undesirable pathways
Reaction energy profile for the formation of undesired products, furan and the CH₂OH intermediate, from furfural on the PtSn catalytic surface