Consumer acceptance of fresh-cut nectarines may be related to several characteristics (freshness, overall browning) that can be measured with suitable sensors. In this paper, digital image analysis was used to assess quality and marketability of fresh-cut (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• Consumer acceptance of fresh-cut nectarines may be related to several characteristics (freshness, overall browning) that can be measured with suitable sensors. In this paper, digital image analysis was used to assess quality and marketability of fresh-cut (Articolo in rivista) (literal)

Anno

• 2011-01-01T00:00:00+01:00 (literal)

Alternative label

• Bernardo pace, Maria Cefola, Floriana Renna, Giovanni Attolico (2011)
  Consumer acceptance of fresh-cut nectarines may be related to several characteristics (freshness, overall browning) that can be measured with suitable sensors. In this paper, digital image analysis was used to assess quality and marketability of fresh-cut
  in Postharvest biology and technology (Print)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Bernardo pace, Maria Cefola, Floriana Renna, Giovanni Attolico (literal)

Pagina inizio

• 178 (literal)

Pagina fine

• 183 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 61 (literal)

Rivista

• Postharvest biology and technology (Rivista)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Bernardo Pace, Maria Cefola - ISPA-CNR Floriana Renna, Giovanni Attolico - ISSIA-CNR (literal)

Titolo

• Consumer acceptance of fresh-cut nectarines may be related to several characteristics (freshness, overall browning) that can be measured with suitable sensors. In this paper, digital image analysis was used to assess quality and marketability of fresh-cut (literal)

Abstract

• Consumer acceptance of fresh-cut nectarines may be related to several characteristics (freshness, overall browning) that can be measured with suitable sensors. In this paper, digital image analysis was used to assess quality and marketability of fresh-cut nectarines, stored in air. Visual appearance and colour were measured using a conventional colorimeter and a computer vision system. In addition, a number of fruit were analyzed for pH, titratable acidity, total soluble solids, total phenols and antioxidant content. During storage, nectarine slices showed a loss in appearance; after 12 d slices which were brown, having lost their freshness, showed a mean 30% decrease in total phenolics and a mean 10% increase in antioxidant activity with respect to fresh slices. Visual appearance correlated significantly with the browning score (R2 = 0.78), titratable acidity (R2 = 0.45) and pH (R2 = 0.85). Correlation of the visual appearance score with the colour parameters b* and chroma measured by the computer vision system was higher (R2 = 0.76) than that obtained using a colorimeter (R2 = 0.57). The results showed that the computer vision system was more effective than the colorimetric method. Measurements by means of the computer vision system resulted in a reliable tool to determine quality and marketability of fresh-cut nectarines in an objective and quantitative way. Moreover, the proposed computer vision system is suitable for real-time application in the food processing industry. (literal)

Prodotto di

• Sistemi Intelligenti Multisensoriali per il monitoraggio, la sicurezza ed il controllo nei contesti industriali, civili e sociali (SP.P06.009.001) (Modulo)
• Institute of intelligent systems for automation (ISSIA) (Istituto)

Autore CNR

• FLORIANA RENNA (Persona)
• GIOVANNI ATTOLICO (Unità di personale interno)

Insieme di parole chiave

• Keywords of "Consumer acceptance of fresh-cut nectarines may be related to several characteristics (freshness, overall browning) that can be measured with suitable sensors. In this paper, digital image analysis was used to assess quality and marketability of fresh-cut" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Sistemi Intelligenti Multisensoriali per il monitoraggio, la sicurezza ed il controllo nei contesti industriali, civili e sociali (SP.P06.009.001) (Modulo)

Autore CNR di

• GIOVANNI ATTOLICO (Unità di personale interno)
• FLORIANA RENNA (Persona)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Postharvest biology and technology (Rivista)

Insieme di parole chiave di

• Keywords of "Consumer acceptance of fresh-cut nectarines may be related to several characteristics (freshness, overall browning) that can be measured with suitable sensors. In this paper, digital image analysis was used to assess quality and marketability of fresh-cut" (Insieme di parole chiave)