Near-infrared hyperspectral image analysis for monitoring the cheese-ripening process

ABSTRACT: 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 o...

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Main Authors: Masoumeh Alinaghi, David Nilsson, Nikita Singh, Annika Höjer, Karin Hallin Saedén, Johan Trygg
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Journal of Dairy Science
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0022030223005131
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author Masoumeh Alinaghi
David Nilsson
Nikita Singh
Annika Höjer
Karin Hallin Saedén
Johan Trygg
author_facet Masoumeh Alinaghi
David Nilsson
Nikita Singh
Annika Höjer
Karin Hallin Saedén
Johan Trygg
author_sort Masoumeh Alinaghi
collection DOAJ
description ABSTRACT: 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.
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spelling doaj.art-596939a26d704ed5ac4cae40cbad27ac2023-10-21T04:21:49ZengElsevierJournal of Dairy Science0022-03022023-11-011061174077418Near-infrared hyperspectral image analysis for monitoring the cheese-ripening processMasoumeh Alinaghi0David Nilsson1Nikita Singh2Annika Höjer3Karin Hallin Saedén4Johan Trygg5Chemometrics Lab, Computational Life Science Cluster (CLiC), Umeå University, Umeå SE-901 87, Sweden; Functional Microbiology, Institute of Microbiology, Department of Pathobiology, University of Veterinary Medicine, Vienna 1210, AustriaChemometrics Lab, Computational Life Science Cluster (CLiC), Umeå University, Umeå SE-901 87, SwedenChemometrics Lab, Computational Life Science Cluster (CLiC), Umeå University, Umeå SE-901 87, SwedenNorrmejerier, Mejerivägen 2, Umeå SE-906 22, SwedenNorrmejerier, Mejerivägen 2, Umeå SE-906 22, SwedenChemometrics Lab, Computational Life Science Cluster (CLiC), Umeå University, Umeå SE-901 87, Sweden; Sartorius Corporate Research, Sartorius, Sartorius Stedim Data Analytics, Umeå SE-903 33, Sweden; Corresponding authorABSTRACT: 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.http://www.sciencedirect.com/science/article/pii/S0022030223005131near-infrared hyperspectral imagingsensory analysischeese maturationfree amino acidshomogeneity distribution
spellingShingle Masoumeh Alinaghi
David Nilsson
Nikita Singh
Annika Höjer
Karin Hallin Saedén
Johan Trygg
Near-infrared hyperspectral image analysis for monitoring the cheese-ripening process
Journal of Dairy Science
near-infrared hyperspectral imaging
sensory analysis
cheese maturation
free amino acids
homogeneity distribution
title Near-infrared hyperspectral image analysis for monitoring the cheese-ripening process
title_full Near-infrared hyperspectral image analysis for monitoring the cheese-ripening process
title_fullStr Near-infrared hyperspectral image analysis for monitoring the cheese-ripening process
title_full_unstemmed Near-infrared hyperspectral image analysis for monitoring the cheese-ripening process
title_short Near-infrared hyperspectral image analysis for monitoring the cheese-ripening process
title_sort near infrared hyperspectral image analysis for monitoring the cheese ripening process
topic near-infrared hyperspectral imaging
sensory analysis
cheese maturation
free amino acids
homogeneity distribution
url http://www.sciencedirect.com/science/article/pii/S0022030223005131
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