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Objective measures of grape quality: From Cabernet Sauvignon grape composition to wine sensory characteristics

机译:葡萄品质客观措施:从赤霞珠葡萄组合物到葡萄酒感官特征

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摘要

In an investigation of objective measures that link grape composition to wine quality, this study sought to identify Cabernet Sauvignon grape parameters that predict the sensory properties of the corresponding wines. Eleven chemical measures comprising volatile and non-volatile compounds, enzyme activity plus standard industry harvest measurements were applied to grape samples obtained from different regions throughout South Eastern Australia over three vintages. Grapes underwent controlled vinification and the resulting wines evaluated with sensory descriptive analysis. The entire multi-vintage data sets were combined and modelled using a combination of partial least squares (PLS) and sequential and orthogonalised (SO) -PLS regression techniques. Optimal models were obtained with single sensory attributes rather than global modelling with the entire sensory profile. Five grape chemical measures, which in the main were harvest parameters, were used along with colour, total phenolics and tannin, targeted volatiles, and flavonols, and orthogonalised to model 14 sensory attributes of the Cabernet Sauvignon wines. The seven remaining measures were not used due to their poor ability to model wine sensory attributes, with enzyme activity and tannin by HPLC explaining the least. The study revealed new insights into the relationship between grape chemistry and wine sensory characters, which has implications for developing an objective measurement system for determining grape quality.
机译:在对葡萄组合物与葡萄酒质量的客观措施的调查中,本研究寻求识别赤霞珠葡萄参数,预测相应葡萄酒的感觉特性。包含挥发性和非挥发性化合物的11个化学措施,酶活性加上标准行业收获测量对从澳大利亚东南部的不同地区获得的葡萄样品超过三葡萄酒。葡萄接受了受控液化,并通过感官描述性分析评估所得葡萄酒。使用部分最小二乘(PLS)和顺序和正交(SO)回归技术组合和建模整个多葡萄酒数据集。使用单个感官属性而不是与整个感官配置文件的全局建模获得最佳模型。五个葡萄化学措施在主要是收获参数,与颜色,总酚类和单宁,靶向挥发物和黄酮酚,并正交以模型14个赤霞珠葡萄酒的感官属性。由于它们在葡萄酒感官属性的差,酶活性和单宁通过HPLC解释最少,因此不使用七项剩余措施。该研究揭示了葡萄化学和葡萄酒感官人物之间关系的新见解,这对开发客观测量系统来确定葡萄质量的影响。

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