Fruit variability impacts puree quality: Assessment on individually processed apples using the visible and near infrared spectroscopy.
Apple variability
Machine learning regression
Malus x domestica Borkh.
Partial least square regression
Two-dimensional correlation spectroscopy (2D-COS)
Journal
Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639
Informations de publication
Date de publication:
01 Oct 2022
01 Oct 2022
Historique:
received:
06
08
2021
revised:
16
04
2022
accepted:
24
04
2022
pubmed:
11
5
2022
medline:
7
6
2022
entrez:
10
5
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 35537239
pii: S0308-8146(22)01050-0
doi: 10.1016/j.foodchem.2022.133088
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
133088Informations de copyright
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