Assessing the product quality of mango slices treated with osmotic and microwave drying by means of image, microstructural, and multivariate analyses

Sergio Jaubert-Garibay, Josué David Hernández-Varela, José Jorge Chanona-Pérez, Stefany Cárdenas-Pérez, Enrique J. Herrera-López, Gustavo F. Gutiérrez-López

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Osmotic dehydration (OD) and microwave drying (MD) have been applied to fruits to preserve their functional and quality attributes. The aim of this study was to determine the correlation between different parameters (shrinkage, color, image texture, microstructure) on the quality of three different types of cuts (oval, longitudinal, transversal) of mango slices when sequentially dried by OD, MD, and microwave oven-processing (MOP). After each processing, the samples showed different changes in geometrical parameters, shrinkage, color, image texture, and microstructure from inside the cell structure to the macroscopic level. Principal components analysis (PCA) was used to select the most suitable cut type with the least separation distance between fresh and processed samples. The most suitable cut after the processing was the longitudinal cut which was associated with higher quality mango slices. This contribution provides an insight into how the cut types affect the drying, shrinkage, color parameters, and microstructure when studying the quality of dried fruits by means of multivariate analysis.

Original languageEnglish
Pages (from-to)363-377
Number of pages15
JournalDrying Technology
Volume41
Issue number3
DOIs
StatePublished - 2023

Keywords

  • Tommy Atkins Mangos
  • computer vision system
  • drying
  • fractal dimension
  • principal component analysis

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