首页> 外文期刊>Journal of the American Oil Chemists' Society >RELATIONSHIP BETWEEN VOLATILE COMPOUNDS AND SENSORY ATTRIBUTES OF OLIVE OILS BY THE SENSORY WHEEL
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RELATIONSHIP BETWEEN VOLATILE COMPOUNDS AND SENSORY ATTRIBUTES OF OLIVE OILS BY THE SENSORY WHEEL

机译:传感轮对橄榄油中挥发性成分与感官属性的关系

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Sixty-five volatile compounds and 103 sensory attributes were evaluated in 32 virgin olive oil samples from three different Mediterranean countries. Volatile compounds were analyzed with a dynamic headspace gas-chromatographic technique by using a thermal desorption cold-trap injector. The sensory analysis was conducted by six panels composed of assessors from the United Kingdom, Spain, the Netherlands, Greece and Italy. principal-components analysis of sensory attributes was used to construct a statistical sensory wheel that represents the whole virgin olive oil flavor matrix. This wheel is composed of seven sectors that show the basic perceptions produced by the oil: green, bitter-pungent, undesirable, ripe olives, ripe fruit, fruity and sweet. The boundaries of each sector were calculated from the circular standard deviation of its sensory attributes. The relationship between sensory and instrumental analysis was determined by projecting volatiles onto the sensory wheel. Correlations of each volatile with the first two components of the principal-components analysis were taken as its coordinates (x,y) in the sensory wheel. Volatiles took up the most appropriate place within the sector that corresponded with their perception, and often close to the sensory attributes that explained their sensory properties. A gas-chromatographic/sniffing method was applied to virgin olive oil samples to assess the aroma notes that corresponded to olive oil volatile compounds and to verify the relationships found by the sensory wheel procedure. Most (89%) of the volatiles were well classified. Use of the statistical sensory wheel as an appropriate method to relate volatile and sensory data was clearly demonstrated. [References: 35]
机译:在来自三个不同地中海国家的32个原始橄榄油样品中评估了65种挥发性化合物和103种感官属性。使用热解吸冷阱注射器,采用动态顶空气相色谱技术分析挥发性化合物。感官分析由来自英国,西班牙,荷兰,希腊和意大利的评估员组成的六个小组进行。感官属性的主成分分析用于构建统计感官轮,该轮代表整个原始橄榄油风味矩阵。这个轮子由七个部分组成,这些部分显示了石油产生的基本感觉:绿色,辛辣,不受欢迎的橄榄,成熟的橄榄,成熟的水果,果味和甜味。从其感觉属性的圆形标准偏差计算每个扇区的边界。感官分析和仪器分析之间的关系是通过将挥发物投射到感官轮上来确定的。每种挥发物与主成分分析的前两个成分的相关性均作为其在感官轮中的坐标(x,y)。挥发物在与其感觉相对应的领域中占据最合适的位置,并且通常接近解释其感觉特性的感觉属性。将气相色谱/嗅探方法应用于原始橄榄油样品,以评估与橄榄油挥发性化合物相对应的香气,并验证感官轮程序发现的关系。大部分(89%)挥发物都经过了很好的分类。明显证明了使用统计感觉轮作为关联挥发性和感觉数据的合适方法。 [参考:35]

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