Fruit variability impacts puree quality: Assessment on individually processed apples using the visible and near infrared spectroscopy

Food Chem. 2022 Oct 1:390:133088. doi: 10.1016/j.foodchem.2022.133088. Epub 2022 Apr 27.

Abstract

This study was designed to have the absolute definition of 'one apple to one puree', which gave a first insight into the impacts of fruit inter-variability (between varieties) and intra-variability (between individual fruits) on the quality of processed purees. Both the inter-variability of apple varieties and the intra-variability of single apples induced intensive changes of appearance, chemical and textural properties of their corresponding microwave-cooked purees. The intra-variability of cooked purees was different according to apple cultivars. Some strong correlations of visible-near infrared (VIS-NIR) spectra were observed between fresh and cooked apples, particularly in the regions 665-685 nm and 1125-1400 nm. These correlations allowed then the indirect predictions of puree color (a* and b*, RPD ≧ 2.1), viscosity (RPD ≧ 2.3), soluble solids content (SSC, RPD = 2.1), titratable acidity (RPD = 2.8), and pH (RPD = 2.5) from the non-destructive acquired VIS-NIR spectra of raw apples.

Keywords: Apple variability; Machine learning regression; Malus x domestica Borkh.; Partial least square regression; Two-dimensional correlation spectroscopy (2D-COS).

MeSH terms

  • Cooking
  • Fruit / chemistry
  • Malus* / chemistry
  • Spectroscopy, Near-Infrared / methods
  • Viscosity