Nectarine volatilome response to fresh-cutting and storage
•Nectarine volatilome investigation by chromatographic and direct injection analysis.•Fresh-cut processing modifies the VOC profile of nectarine.•Fresh-cut nectarines emit off-flavours without any visual deterioration symptoms.•Development of a VOC biomarkers array to predict fresh-cut nectarine sto...
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Published in: | Postharvest biology and technology Vol. 159; p. 111020 |
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Main Authors: | , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Amsterdam
Elsevier B.V
01-01-2020
Elsevier BV |
Subjects: | |
Online Access: | Get full text |
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Summary: | •Nectarine volatilome investigation by chromatographic and direct injection analysis.•Fresh-cut processing modifies the VOC profile of nectarine.•Fresh-cut nectarines emit off-flavours without any visual deterioration symptoms.•Development of a VOC biomarkers array to predict fresh-cut nectarine storability.
The offer of fresh-cut peaches and nectarines represents a valid alternative for stone fruit commercialization and matches the increasing market demand of ready-to-eat (RTE) products.
In this study we explored the effect of fruit processing and storage on the volatilome of RTE fresh-cut nectarine. Fruit of three cultivars were sliced and packed in an industrial line and stored for 5 d at 5 °C. Volatile organic compound (VOC) evolution was assessed daily in both intact and processed fruit by an exhaustive untargeted analysis, performed by proton transfer reaction-time of flight-mass spectrometry (PTR-ToF-MS) and solid phase microextraction- gas chromatography-mass spectrometry (SPME/GC-MS).
Fresh-cut processing induced a major variation in nectarine volatilome depending on genetic differences and storage. This volatilome amelioration may be considered as an applicable strategy to enhance peach and nectarine perceived quality. Moreover, results of this study allowed the detection of a set of possible biomarkers enabling the selection of the best nectarine genotypes for processing and the prediction of the product shelf life based on the release of flavours and off-flavours. |
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ISSN: | 0925-5214 1873-2356 |
DOI: | 10.1016/j.postharvbio.2019.111020 |