Literature DB >> 25466041

Effect of grape bunch sunlight exposure and UV radiation on phenolics and volatile composition of Vitis vinifera L. cv. Pinot noir wine.

Jianqiang Song1, Richard Smart2, Hua Wang3, Bob Dambergs4, Angela Sparrow5, Michael C Qian6.   

Abstract

The effect of canopy leaf removal and ultraviolet (UV) on Pinot noir grape and wine composition was investigated in this study. Limited basal leaf removal in the fruit zone was conducted, compared to shaded bunches. The UV exposure was controlled using polycarbonate screens to block UV radiation, and acrylic screens to pass the UV. The results showed that bunch sunlight and UV exposure significantly increased the Brix and pH in the grape juice, and increased substantially wine colour density, anthocyanins, total pigment, total phenolics and tannin content. Bunch sunlight and UV exposure affected terpene alcohols, C13-norisprenoids and other volatile composition of the wine differently. Sunlight exposure and UV resulted in increase of nerol, geraniol and citronellol but not linalool. Sunlight exposure slightly increased the concentration of β-ionone, but the increase was not statistically significant for UV treatment. Neither sunlight nor UV treatment showed any impact on the concentration of β-damascenone.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  C(13)-norisoprenoids; Pinot noir wine; Sunlight exposure; Terpene alcohols; Ultraviolet (UV) radiation; Wine phenolics

Mesh:

Substances:

Year:  2014        PMID: 25466041     DOI: 10.1016/j.foodchem.2014.09.150

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


  16 in total

1.  Grapevine Plasticity in Response to an Altered Microclimate: Sauvignon Blanc Modulates Specific Metabolites in Response to Increased Berry Exposure.

Authors:  Philip R Young; Hans A Eyeghe-Bickong; Kari du Plessis; Erik Alexandersson; Dan A Jacobson; Zelmari Coetzee; Alain Deloire; Melané A Vivier
Journal:  Plant Physiol       Date:  2015-12-01       Impact factor: 8.340

Review 2.  Addressing Facts and Gaps in the Phenolics Chemistry of Winery By-Products.

Authors:  Nelson F L Machado; Raúl Domínguez-Perles
Journal:  Molecules       Date:  2017-02-14       Impact factor: 4.411

3.  The Transcriptional Responses and Metabolic Consequences of Acclimation to Elevated Light Exposure in Grapevine Berries.

Authors:  Kari du Plessis; Philip R Young; Hans A Eyéghé-Bickong; Melané A Vivier
Journal:  Front Plant Sci       Date:  2017-07-20       Impact factor: 5.753

Review 4.  Effects of Basal Defoliation on Wine Aromas: A Meta-Analysis.

Authors:  Yu Wang; Lei He; Qiuhong Pan; Changqing Duan; Jun Wang
Journal:  Molecules       Date:  2018-03-28       Impact factor: 4.411

5.  Machine Learning Modeling of Wine Sensory Profiles and Color of Vertical Vintages of Pinot Noir Based on Chemical Fingerprinting, Weather and Management Data.

Authors:  Sigfredo Fuentes; Damir D Torrico; Eden Tongson; Claudia Gonzalez Viejo
Journal:  Sensors (Basel)       Date:  2020-06-27       Impact factor: 3.576

6.  Tryptophan Levels during Grape Ripening: Effects of Cultural Practices.

Authors:  Ana Ruiz-Rodríguez; Ceferino A Carrera; Widiastuti Setyaningsih; Gerardo F Barbero; Marta Ferreiro-González; Miguel Palma; Carmelo G Barroso
Journal:  Molecules       Date:  2017-06-06       Impact factor: 4.411

7.  Field-Grown Grapevine Berries Use Carotenoids and the Associated Xanthophyll Cycles to Acclimate to UV Exposure Differentially in High and Low Light (Shade) Conditions.

Authors:  Chandré Joubert; Philip R Young; Hans A Eyéghé-Bickong; Melané A Vivier
Journal:  Front Plant Sci       Date:  2016-06-10       Impact factor: 5.753

Review 8.  Transcriptomic and Metabolomic Networks in the Grape Berry Illustrate That it Takes More Than Flavonoids to Fight Against Ultraviolet Radiation.

Authors:  José Tomás Matus
Journal:  Front Plant Sci       Date:  2016-08-30       Impact factor: 5.753

9.  Profiles of Volatile Compounds in Blackcurrant ( Ribes nigrum) Cultivars with a Special Focus on the Influence of Growth Latitude and Weather Conditions.

Authors:  Alexis Marsol-Vall; Maaria Kortesniemi; Saila T Karhu; Heikki Kallio; Baoru Yang
Journal:  J Agric Food Chem       Date:  2018-07-09       Impact factor: 5.279

10.  Modeling Pinot Noir Aroma Profiles Based on Weather and Water Management Information Using Machine Learning Algorithms: A Vertical Vintage Analysis Using Artificial Intelligence.

Authors:  Sigfredo Fuentes; Eden Tongson; Damir D Torrico; Claudia Gonzalez Viejo
Journal:  Foods       Date:  2019-12-30
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