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Francisco J. Heredia

Researcher at University of Seville

Publications -  262
Citations -  9076

Francisco J. Heredia is an academic researcher from University of Seville. The author has contributed to research in topics: Orange juice & Wine. The author has an hindex of 49, co-authored 253 publications receiving 7726 citations. Previous affiliations of Francisco J. Heredia include University of Leeds & University of Liverpool.

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Impact of alternative protein fining agents on the phenolic composition and color of Syrah red wines from warm climate.

TL;DR: Changes on turbidity, phenolic composition and color showed that animal and plant proteins differed in their clarifying efficiency and ability to interact with colorless phenolics and anthocyanins, depending on the age of wine, with important consequences on color quality and stability.
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CIELAB – Spectral image MATCHING: An app for merging colorimetric and spectral images for grapes and derivatives

TL;DR: In the case of white grape seeds, it was proved that merged images were better to discriminate between varieties than the single CIELAB or spectral images.
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Colour of Amontillado wines aged in two oak barrel types

Abstract: The colour of 123 Amontillado wines from “Condado de Huelva” Designation of Origin, made from white grapes of the Zalema variety and slowly aged in different types of wood casks, has been studied. Colour differences due to different materials from which the casks were manufactured (Spanish and American oak wood) have been appreciated. Tristimulus methods have been applied following the recommendations of the International Commission on Illumination (CIE). Colour parameters ( $$a_{10}^*$$ , $$b_{10}^*$$ , $$L_{10}^*$$ , $$C_{{\rm ab}10}^*$$ , h ab10) from CIELAB space and saturation ( $$s_{{\rm uv}10}^*$$ ) from CIELUV space have been used for calculus. The results indicated differences for lightness and saturation, which allows one to establish the areas of predominant colour for the characterisation of the colour of this type of wines. Multivariate statistical analysis demonstrated that different groups of selected variables give similar results, meaning that the wines aged in American oak barrels and Spanish oak barrels show significant (p<0.05) differences in colour variables. Three supervised learning methods, classification tree, linear discriminant analysis and back-propagation artificial neural network, have been applied for distinguishing between classes.
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Screening of Wine Extractable Total Phenolic and Ellagitannin Contents in Revalorized Cooperage By-products: Evaluation by Micro-NIRS Technology

TL;DR: In this article, a method for determining phenolic compounds of wood and its extractability to the hydroalcoholic medium is proposed in an in situ, non-destructive, and fast way.
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The COLOR OF WINE: A HISTORICAL PERSPECTIVE. II. TRICHROMATIC METHODS

TL;DR: In this paper, the authors compared the reliability of the Lovibond method versus the more rigid recent CIE methods, including the Munsell system, with the simplified methods proposed by the L'office Internationale de la Vigne et du Vin (OIV).