Data di Pubblicazione:
2010
Citazione:
FT-NIR Spectroscopy for the Quality Characterization of Apricots
(Prunus Armeniaca L.) / A. Berardinelli, C. Cevoli, F. A. Silaghi, A. Fabbri, L. Ragni, A. Giunchi, D. Bassi. - In: JOURNAL OF FOOD SCIENCE. - ISSN 0022-1147. - 75:7(2010), pp. E462-E468.
Abstract:
The nondestructive assessment of apricot fruit quality (Bora cultivar) was carried out by means of FT-NIR
reflectance spectroscopy in the wavenumber range 12000 to 4000 cm−1. Samples were harvested at four different ripening
stages and scanned by a fiber optical probe immediately after harvesting and after a storage of 3 d (2 d at 4 ◦C and 1 d at
18 ◦C); the flesh firmness (FF), the soluble solids content (SSC), the acidity (A), and the titratable acidity (malic and citric
acids) were then measured by destructive methods. Soft independent modeling of class analogy (SIMCA) analysis was used
to classify spectra according to the ripening stage and the storage: partial least squares regression (PLS) models to predict
FF, SSC, A, and the titratable acidity were also set-up for both just harvested and stored apricots. Spectral pretreatments
and wavenumber selections were conducted on the basis of explorative principal component analysis (PCA). Apricot
spectra were correctly classified in the right class with a mean classification rate of 87% (range: 80% to 100%). Test set
validations of PLS models showed R2 values up to 0.620, 0.863, 0.842, and 0.369 for FF, SSC, A, and the titratable
acidity, respectively. The best models were obtained for the SSC and A and are suitable for rough screening; a lower
power prediction emerged for the other maturity indices and the relative predictive models are not recommended.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
apricots ; maturity indices ; nondestructive evaluation ; ripening stage ; spectroscopy
Elenco autori:
A. Berardinelli, C. Cevoli, F. A. Silaghi, A. Fabbri, L. Ragni, A. Giunchi, D. Bassi
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