Title (en)
Near-infrared hyperspectral image analysis for monitoring the cheese-ripening process
Language
English
Description (en)
Ripening is the most crucial process step in cheese manufacturing and constitutes multiple biochemical alterations that describe the final cheese quality and its perceived sensory attributes. The assessment of the cheese-ripening process is challenging and requires the effective analysis of a multitude of biochemical changes occurring during the process. This study monitored the biochemical and sensory attribute changes of paraffin wax-covered long-ripening hard cheeses (n = 79) during ripening by collecting samples at different stages of ripening. Near-infrared hyperspectral (NIR-HS) imaging, together with free amino acid, chemical composition, and sensory attributes, was studied to monitor the biochemical changes during the ripening process. Orthogonal projection-based multivariate calibration methods were used to characterize ripening-related and orthogonal components as well as the distribution map of chemical components. The results approve the NIR-HS imaging as a rapid tool for monitoring cheese maturity during ripening. Moreover, the pixelwise evaluation of images shows the homogeneity of cheese maturation at different stages of ripening. Among the chemical compositions, fat content and moisture are the most important variables correlating to NIR-HS images during the ripening process.
Keywords (en)
Northern Sweden; Bovine-Milk; Dairy Farms; Proteolysis; Goat; Spectroscopy; Prediction; Acids; Tool
DOI
10.3168/jds.2023-23377
Author of the digital object
Masoumeh Alinaghi (University of Veterinary Medicine Vienna / Umeå University)
Johan Trygg (Umeå University)
Karin Hallin Saedén (Norrmejerier)
Annika Höjer (Norrmejerier)
David Nilsson (Umeå University)
Nikita Singh (Umeå University)
Format
application/pdf
Size
3.4 MB
Licence Selected
CC BY 4.0 International
Type of publication
Article
Name of Publication (en)
Journal of Dairy Science
Pages or Volume
12
Volume
106
Number
11
From Page
7407
To Page
7418
Publisher
Elsevier
Publication Date
2023
- Citable links
Persistent identifier
DOI
https://phaidra.vetmeduni.ac.at/o:2491
https://doi.org/10.3168/jds.2023-23377 - DetailsObject typePDFDocumentFormatapplication/pdfCreated06.02.2024 09:39:37
- Usage statistics-
- This object is in collection
- Metadata
- Export formats