Berry heterogeneity as a possible factor affecting the potential of seed mechanical properties to classify wine grape varieties and estimate flavanol release in wine-like solution

Fabrizio Torchio, F. Torchio, S. Giacosa, S. Río Segade, V. Gerbi, L. Rolle

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

3 Citazioni (Scopus)

Abstract

Seed mechanical properties were instrumentally measured by compression testing in thirty white and red wine grape varieties at harvest. The effect of berry heterogeneity in a vineyard on these seed texture parameters was also evaluated to improve the understanding of intra-sample variabifity. Furthermore, the mechanical properties of the seeds were assessed as possible predictors of their phenolic extractabifity. The results show that the texture parameters of the seeds are independent of the location of the berry in the vineyard and the soluble solid content at harvest. Densimetric flotation of the berries permits the reduction of the intra-sample variabifity that could hinder the differentiation and/or classification of wine grape varieties according to seed mechanical attributes. Cluster analysis classified the wine grape varieties studied into three groups according to seed hardness (low: 32.51 to 40.80 N, intermediate: 42.84 to 44.99 N, high: 46.71 to 57.78 N). The relationships between the seed mechanical properties and the extractable content of phenolic compounds, determined by spectrophotometric and chromatographic reference chemical methods, were evaluated by means of correlation analysis. Linear regression calibration models were developed for each cluster. The statistical parameters highlighted that total flavonoids, proanthocyanidins and flavanols reactive to vanillin can be predicted successfully from the seed mechanical properties for the varieties having low and intermediate seed hardness (SEC% ca. 20, RPIQ> 1.6). For varieties with harder seeds, a satisfactory predictive accuracy seems to require the construction of separate calibration models for each cultivar (Nebbiolo, SEC% ca. 20, RPIQ> 2.2).
Lingua originaleEnglish
pagine (da-a)20-42
Numero di pagine23
RivistaSOUTH AFRICAN JOURNAL FOR ENOLOGY AND VITICULTURE
Volume35
Stato di pubblicazionePubblicato - 2014

Keywords

  • Berry heterogeneity
  • Extractable phenols prediction
  • Instrumental texture analysis
  • Mechanical parameters
  • Varietal classification
  • Wine grape seeds

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