Use of near-infrared hyperspectral (NIR-HS) imaging to visualize and model the maturity of long-ripening hard cheeses. (January 2020)
- Record Type:
- Journal Article
- Title:
- Use of near-infrared hyperspectral (NIR-HS) imaging to visualize and model the maturity of long-ripening hard cheeses. (January 2020)
- Main Title:
- Use of near-infrared hyperspectral (NIR-HS) imaging to visualize and model the maturity of long-ripening hard cheeses
- Authors:
- Priyashantha, Hasitha
Höjer, Annika
Saedén, Karin Hallin
Lundh, Åse
Johansson, Monika
Bernes, Gun
Geladi, Paul
Hetta, Mårten - Abstract:
- Abstract: Spectroscopic measurements and imaging have great potential in rapid prediction of cheese maturity, replacing existing subjective evaluation techniques. In this study, 209 long-ripening hard cheeses were evaluated using a hyperspectral camera and also sensory evaluated by a tasting panel. A total of 425 NIR hyperspectral (NIR-HS) images were obtained during ripening at 14, 16, 18, and 20 months, until final sensorial approval of the cheese. The spectral data were interpreted as possible compositional changes between scanning occasions. Regression modelling by partial least squares (PLS) was used to explain the relationship between average spectra and cheese maturity. The PLS model was evaluated with whole cheeses (average spectrum), but also pixelwise, producing prediction images. Analysis of the images showed an increasing homogeneity of the cheese over the time of storage and ripening. It also suggested that maturation begins at the center and spreads to the outer periphery of the cheese. Highlights: NIR hyperspectral images were used to predict cheese maturity. Partial least squares regression was used to link NIR spectra with cheese maturity. NIR hyperspectral imaging can be a rapid tool for detecting cheese maturity status. Pixelwise prediction images show maturity variation within and between cheeses.
- Is Part Of:
- Journal of food engineering. Volume 264(2020)
- Journal:
- Journal of food engineering
- Issue:
- Volume 264(2020)
- Issue Display:
- Volume 264, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 264
- Issue:
- 2020
- Issue Sort Value:
- 2020-0264-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-01
- Subjects:
- cheese maturation -- Principal component analysis -- Partial least squares regression -- Pixelwise image prediction
Food industry and trade -- Periodicals
Food -- Analysis -- Periodicals
Aliments -- Industrie et commerce -- Périodiques
Aliments -- Analyse -- Périodiques
Aliments -- Recherche -- Périodiques
664.005 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02608774 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jfoodeng.2019.109687 ↗
- Languages:
- English
- ISSNs:
- 0260-8774
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4984.543000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11638.xml