Ricotta cheese is a dairy product characterised by a short shelf life. The aim of this study was to monitor changes occurring during storage of packed industrial ricotta cheese using a simple and fast method. Several samples of manufactured ricotta cheese were monitored during storage at three different temperatures (3, 10 and 20°C). Spectral data were collected over the range 12000 to 4400 cm–1 using a Fourier transform near infrared (FT-NIR) spectrometer fi tted with an optic fi bre working in diffuse refl ectance. Some chemical and rheological parameters were also measured. Principal component analysis (PCA) was applied as an exploratory chemometric technique to each one of the three sets of data (FT-NIR, chemical and rheological data) and a calibration model between the NIR data set and chemical and rheological indices was developed by means of partial least squares regression. The PCA results showed in all cases the infl uence of the storage temperature on the shelf life trend and were able to identify a critical day of shelf life for each storage temperature.

Use of the FT-NIR spectroscopy to monitor the shelf-life of packed industrial Ricotta cheese / N. Sinelli, S. Barzaghi, C. Giardina, T.M.P. Cattaneo. - In: JOURNAL OF NEAR INFRARED SPECTROSCOPY. - ISSN 0967-0335. - 13:5(2005), pp. 293-300. [10.1255/jnirs.560]

Use of the FT-NIR spectroscopy to monitor the shelf-life of packed industrial Ricotta cheese

N. Sinelli
Primo
;
2005

Abstract

Ricotta cheese is a dairy product characterised by a short shelf life. The aim of this study was to monitor changes occurring during storage of packed industrial ricotta cheese using a simple and fast method. Several samples of manufactured ricotta cheese were monitored during storage at three different temperatures (3, 10 and 20°C). Spectral data were collected over the range 12000 to 4400 cm–1 using a Fourier transform near infrared (FT-NIR) spectrometer fi tted with an optic fi bre working in diffuse refl ectance. Some chemical and rheological parameters were also measured. Principal component analysis (PCA) was applied as an exploratory chemometric technique to each one of the three sets of data (FT-NIR, chemical and rheological data) and a calibration model between the NIR data set and chemical and rheological indices was developed by means of partial least squares regression. The PCA results showed in all cases the infl uence of the storage temperature on the shelf life trend and were able to identify a critical day of shelf life for each storage temperature.
Chemometrics; FT-NIR spectroscopy; NIR spectroscopy; Ricotta cheese; Shelf life
Settore AGR/15 - Scienze e Tecnologie Alimentari
2005
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/37255
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