Accelerated shelf-life model of gluten-free rusks by using oxidation indices

Food Chem. 2020 Oct 1:326:126971. doi: 10.1016/j.foodchem.2020.126971. Epub 2020 May 5.

Abstract

The demand for gluten-free products has been growing over the last few years as is the need to improve their quality. The objective of this research was to develop a shelf life prediction model of gluten-free rusks. To this aim, a kinetic study of the primary and secondary oxidative process was run and the kinetic parameters (rate constant, activation energy, and temperature quotient) were calculated. The protective effect of the antioxidant included in the recipe was also evaluated, and the prediction model was applied to predict the shelf life of an experimental batch of gluten-free rusks with a lower content of antioxidant. The results highlighted (i) the reliability of the prediction model and (ii) the effectiveness of the antioxidant in reducing the rate of primary oxidation. Moreover, (iii) a possible hexanal threshold (lower than 121 µg/kg), correlated with rancid perception in gluten-free rusks, was also speculated.

Keywords: Activation energy; Gluten-free rusks; Hexanal; Kinetic model; Peroxide value; Rate constant; Shelf life; Temperature quotient; Water activity.

MeSH terms

  • Antioxidants / chemistry
  • Diet, Gluten-Free
  • Flour
  • Food Storage / methods*
  • Foods, Specialized*
  • Kinetics
  • Models, Theoretical
  • Oxidation-Reduction
  • Reproducibility of Results
  • Sunflower Oil
  • Temperature

Substances

  • Antioxidants
  • Sunflower Oil