4.0 Article

Fruit sensory characterization of four Pescabivona, white-fleshed peach [Prunus persica (L.) Batsch], landraces and correlation with physical and chemical parameters

期刊

FRUITS
卷 68, 期 3, 页码 195-207

出版社

EDP SCIENCES S A
DOI: 10.1051/fruits/2013067

关键词

Italy; Sicily; Prunus persica; land varieties; fruits; organoleptic properties; component analysis; regression analysis; quality; acceptability

资金

  1. Comune di Bivona (Italy)

向作者/读者索取更多资源

Introduction. Pescabivona is the name of an autochthonous peach [Prunus persica (L.) Batch] population of the central west of Sicily. In a previous work, this fruit was submitted to chemical analysis, while in this paper, sensory evaluation is considered. Materials and methods. Samples of four Pescabivona landraces were harvested throughout the harvest season. A trained panel outlined the sensory profiles and the data were processed by ANOVA and Principal Component Analysis (PCA). A correlation between sensory analysis and instrumental data was finally carried out. Results and discussion. The results demonstrated a high standard of quality for the four landraces studied, with some differences in aroma intensity and in some other parameters, with sweetness and aroma being highly correlated with overall liking. PCA did not clearly separate the different landraces as they have the same origin. Some correlations between sensory analysis and instrumental data were verified. The sensory liking was correlated with the main ripeness parameters, as well as with the pulp firmness. Conclusion. The data obtained contribute to outlining a complete fruit profile for product comparison and shelf-life monitoring. As previously verified for chemical parameters, the sensory evaluation indicates a substantial similarity among the landraces. The good agreement between sensory evaluation and composition makes sensory analysis a precious tool to assess quality of Pescabivona landraces.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.0
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据