| Prediction of wine color attributes from the phenolic profiles of red grapes (Vitis vinifera). | |
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MedLine Citation:
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PMID: 18173238 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Knowledge about the relation between grape and wine phenolics is of key interest for the wine industry with respect to being able to predict wine quality from analyses of grapes. Prediction of the phenolic composition and color of experimentally produced red wines from the detailed phenolic composition of the corresponding grapes was investigated using a multivariate approach. Grape extracts and wines were produced from 55 different grape samples, covering 8 different Vitis vinifera cultivars: Alicante, Merlot, Syrah, Cinsault, Grenache, Carignan, Cabernet Sauvignon, and Mourvedre. The phenolic composition of the grapes and wines showed that the average ratios between wine and grape phenolics ranged from 0.25 to 7.9 for the different phenolic compounds. Most interestingly, the average ratios were low for anthocyanins (0.31) and tannins (0.32), intermediate for (+)-catechin (0.75) and polymeric pigments (0.98), and high for gallic acid (7.9). Individual wine phenolics in general correlated well with several grape phenolics, indicating that a multivariate approach might be advantageous for prediction of wine phenolics from grape phenolics analysis. However the use of multivariate prediction of individual wine phenolics from the complete grape phenolic composition only improved the prediction of wine polymeric pigments, whereas wine anthocyanins were predicted with the same precision as from the direct relation with grape anthocyanins. Prediction of color attributes of pH normalized experimental wines from the phenolic profiles of grapes was accomplished using a multivariate approach. The correlation between predicted and measured total wine color was high ( r = 0.958) but was very similar to the correlation coefficient obtained for the direct relation between grape anthocyanins and total wine color ( r = 0.961). Color due to copigmentation, color due to anthocyanins, and color intensity were also predicted well. |
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Authors:
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Jacob S Jensen; Simge Demiray; Max Egebo; Anne S Meyer |
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Publication Detail:
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Type: Journal Article Date: 2008-01-04 |
Journal Detail:
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Title: Journal of agricultural and food chemistry Volume: 56 ISSN: 0021-8561 ISO Abbreviation: J. Agric. Food Chem. Publication Date: 2008 Feb |
Date Detail:
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Created Date: 2008-02-07 Completed Date: 2008-04-24 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0374755 Medline TA: J Agric Food Chem Country: United States |
Other Details:
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Languages: eng Pagination: 1105-15 Citation Subset: IM |
Affiliation:
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The Department of Chemical Engineering, Technical University of Denmark, Søltofts Plads, Building 229, 2800 Kgs. Lyngby, Denmark. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Anthocyanins
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analysis Chromatography, High Pressure Liquid Color Fruit / chemistry* Phenols / analysis* Pigments, Biological / analysis* Vitis / chemistry* Wine / analysis* |
| Chemical | |
Reg. No./Substance:
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0/Anthocyanins; 0/Phenols; 0/Pigments, Biological |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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