Solid-phase microextraction (SPME) GC-MS was used to investigate the volatile organic compound (VOC) profile of fresh-cut 'Big Top' nectarine samples, stored in unsealed bags (AIR) or packed in active modified atmosphere (MAP) after 8 days of cold storage. Nectarine slices were also subjected to sensory and quality analysis after harvest and at the end of the storage. MAP preserved the overall quality, the appearance and the olfactory properties of nectarine slices during storage, while AIR samples showed symptoms of dehydration and browning. Sixty VOCs were identified in total in the headspace of the fresh nectarines and cold-stored fruit slices samples. Principal component analysis performed on VOCs allowed to differentiate fresh nectarines from cold-stored samples, with lactones and terpenes mainly related to fresh samples, and ester compounds positively correlated to AIR or MAP samples. Partial least square regression models allowed to identify a pool of VOC predictors of olfactory sensory descriptors.

Quality, sensory and volatile profiles of fresh-cut big top nectarines cold stored in air or modified atmosphere packaging

Cozzolino R;Cefola M;Pace B;Malorni L;Martignetti A;Montemurro N;Pellicano MP
2018

Abstract

Solid-phase microextraction (SPME) GC-MS was used to investigate the volatile organic compound (VOC) profile of fresh-cut 'Big Top' nectarine samples, stored in unsealed bags (AIR) or packed in active modified atmosphere (MAP) after 8 days of cold storage. Nectarine slices were also subjected to sensory and quality analysis after harvest and at the end of the storage. MAP preserved the overall quality, the appearance and the olfactory properties of nectarine slices during storage, while AIR samples showed symptoms of dehydration and browning. Sixty VOCs were identified in total in the headspace of the fresh nectarines and cold-stored fruit slices samples. Principal component analysis performed on VOCs allowed to differentiate fresh nectarines from cold-stored samples, with lactones and terpenes mainly related to fresh samples, and ester compounds positively correlated to AIR or MAP samples. Partial least square regression models allowed to identify a pool of VOC predictors of olfactory sensory descriptors.
2018
Istituto di Scienze dell'Alimentazione - ISA
Istituto di Scienze delle Produzioni Alimentari - ISPA
'Big Top' nectarine
partial least squares regression analysis
sensory analysis
solid-phase microextraction
volatile organic compounds.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/349378
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact