Literature DB >> 27374570

Use of response surface methodology for the assessment of changes in the volatile composition of Moscato bianco (Vitis vinifera L.) grape berries during ripening.

Fabrizio Torchio1, Simone Giacosa2, Mar Vilanova3, Susana Río Segade2, Vincenzo Gerbi4, Manuela Giordano2, Luca Rolle4.   

Abstract

The changes in the volatile composition of Moscato bianco grapes were evaluated during ripening. Grape berries were sampled for five weeks (16-20 °Brix) and sorted for each date in ten density classes (1.05-1.12g/cm(3)). The highest total concentration of free terpenes was found at 19.3 °Brix; however, total concentration of the bound fraction increased significantly throughout ripening. Response surface methodology was used to assess the simultaneous effect of sampling time and berry density on the volatile composition, which was satisfactorily fitted to regression models for some key terpene compounds. Total free and bound terpenes were more affected by grape density than by sampling date. The same behaviour was observed for free and bound linalool and bound nerol, whereas the stronger effect of sampling date was exhibited for bound t-rose oxide, c-rose oxide and geraniol. The results showed that the sampling strategy impacted strongly on the aroma quality of berries.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Berry density; Response surface methodology; Ripening; Terpenes; Wine grapes

Mesh:

Year:  2016        PMID: 27374570     DOI: 10.1016/j.foodchem.2016.05.191

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  8 in total

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Journal:  Sci Rep       Date:  2017-11-24       Impact factor: 4.379

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4.  Influence of Different Dehydration Levels on Volatile Profiles, Phenolic Contents and Skin Hardness of Alkaline Pre-Treated Grapes cv Muscat of Alexandria (Vitis vinifera L.).

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Journal:  Front Plant Sci       Date:  2021-06-24       Impact factor: 5.753

7.  Vitis vinifera L. Fruit Diversity to Breed Varieties Anticipating Climate Changes.

Authors:  Antoine Bigard; Dargie T Berhe; Eleonora Maoddi; Yannick Sire; Jean-Michel Boursiquot; Hernan Ojeda; Jean-Pierre Péros; Agnès Doligez; Charles Romieu; Laurent Torregrosa
Journal:  Front Plant Sci       Date:  2018-05-01       Impact factor: 5.753

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  8 in total

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