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The use of chromatographic profiles from roasted arabica coffees to differentiate samples according to cleanliness, flavour and overall quality of the beverage

机译:从烤阿拉伯咖啡中使用色谱曲线根据饮料的清洁,风味和整体质量来区分样品

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In this work, the volatile chromatographic profiles of roasted Arabica coffees, previously analyzed for their sensorial attributes, were explored by principal component analysis. The volatile extraction technique used was the solid phase microextraction. The correlation optimized warping algorithm was used to align the gas chromatographic profiles. Fifty four compounds were found to be related to the sensorial attributes investigated. The volatiles pyrrole, 1-methyl-pyrrole, cyclopentanone, dihydro-2-methyl-3-furanone, furfural, 2-ethyl-5-methyl-pyrazine, 2-etenyl-n-methyl-pyrazine, 5-methyl-2-propionyl-furan compounds were important for the differentiation of coffee beverage according to the flavour, cleanliness and overall quality. Two figures of merit, sensitivity and specificity (or selectivity), were used to interpret the sensory attributes studied.
机译:在这项工作中,通过主成分分析探讨了先前分析了其感官属性的烤阿拉伯咖啡的挥发性色谱谱。使用的挥发性提取技术是固相微萃取。相关优化翘曲算法用于对准气体色谱谱。发现五十四种化合物与所研究的感官属性有关。挥发物吡咯,1-甲基 - 吡咯,环戊酮,二氢-2-甲基-3-呋喃,糠醛,2-乙基-5-甲基 - 吡嗪,2- entenyl-n-甲基 - 吡嗪,5-甲基-2-丙氨酰呋喃化合物根据风味,清洁和整体质量对咖啡饮料的分化非常重要。使用两个优异,敏感性和特异性(或选择性)的图来解释所研究的感官属性。

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