A comprehensive two-scale model for predicting the oxidizability of fatty acid methyl ester mixtures

Food Res Int. 2023 Nov;173(Pt 1):113289. doi: 10.1016/j.foodres.2023.113289. Epub 2023 Jul 18.

Abstract

The intricate mechanisms of oil thermooxidation and their accurate prediction have long been hampered by the combinatory nature of propagation and termination reactions involving randomly generated radicals. To unravel this complexity, we suggest a two-scale mechanistic description that connects the chemical functions (scale 1) with the molecular carriers of these functions (scale 2). Our method underscores the importance of accounting for cross-reactions between radicals in order to fully comprehend the reactivities in blends. We rigorously tested and validated the proposed two-scale scheme on binary and ternary mixtures of fatty acid methyl esters (FAMEs), yielding three key insights: (1) The abstraction of labile protons hinges on the carrier, defying the conventional focus on hydroperoxyl radical types. (2) Termination reactions between radicals adhere to the geometric mean law, exhibiting symmetric collision ratios. (3) The decomposition of hydroperoxides emerges as a monomolecular process above 80 °C, challenging the established combinatorial paradigm. Applicable across a wide temperature range (80 °C to 200 °C), our findings unlock the production of blends with controlled thermooxidation stability, optimizing the use of vegetable oils across applications: food science, biofuels, and lubricants.

Keywords: Co-oxidation; Fatty acid methyl esters; Geometric mean rule; Hydroperoxides; Oil thermooxidation; Oxidation; Predictive modeling; Radical-chain reactions.

MeSH terms

  • Biofuels
  • Esters* / chemistry
  • Fatty Acids / chemistry
  • Plant Oils* / chemistry
  • Structure-Activity Relationship

Substances

  • Esters
  • Plant Oils
  • Fatty Acids
  • Biofuels