Mitigation of heterocyclic aromatic amines in cooked meat. Part I: Informed selection of antioxidants based on molecular modeling

Maïa Meurillon (1) , Magaly Angenieux (1) , Frédéric Mercier (1) , Patrick Blinet (1) , Laurent Chaloin (2) , Sylvie S. Chevolleau (3, 4) , Laurent Debrauwer (3, 4) , Erwan Engel (1)

1 QuaPA - Qualité des Produits Animaux
2 IRIM - Institut de Recherche en Infectiologie de Montpellier
3 E20 - MetaToul AXIOM
4 TBI-MetaToul - MetaToul FluxoMet

This work aimed to develop a method permitting an informed choice of antioxidants to reduce carcinogenic heterocyclic aromatic amine (HAA) formation during proteinaceous food cooking. Therefore, a three-step approach was developed. First, the most promising antioxidants were selected using molecular modeling approaches. For this, analog design was used to highlight the most suitable antioxidants based on their diversification potential using bioisosteric replacement. Then, structure activity relationship studies allowed drawing the relevant properties for inhibiting HAA formation and explained partly the inhibitory activity. Secondly, the approved antioxidants were tested in ground beef patties to assess their inhibitory properties against HAA formation. Resveratrol was found to be the most efficient as it totally inhibited MeIQ and reduced MeIQx and PhIP formation by 40 and 70%, respectively. Finally, natural ingredients rich in these antioxidants were evaluated. Oregano was found to totally inhibit MeIQ formation and to reduce by half MeIQx and PhIP formation.

Mots clés: Analog design; Antioxidants; Formulation; Heterocyclic aromatic amines; Mitigation; Molecular modeling; Structure activity relationship (SAR)

Domaines: Sciences du Vivant [q-bio]; Alimentation et Nutrition; Toxicologie

Maïa Meurillon, Magaly Angenieux, Frédéric Mercier, Patrick Blinet, Laurent Chaloin, et al.. Mitigation of heterocyclic aromatic amines in cooked meat. Part I: Informed selection of antioxidants based on molecular modeling. Food Chemistry, 2020, 331, pp.127264. ⟨10.1016/j.foodchem.2020.127264⟩. ⟨hal-02890485⟩