Dipartimento di Scienze Agrarie, Alimentari e Ambientali, Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy.
Food Chem. 2012 Dec 1;135(3):1569-74. doi: 10.1016/j.foodchem.2012.06.007. Epub 2012 Jun 13.
Since the price of Arabica is currently more than twice higher than Robusta, a rapid and reliable method for the determination of the roasted coffee blend composition is fundamental for the authentication of commercial blends used for the Italian Espresso coffee. A GC-FID method based on the ratio between the integrated peak areas of kahweol (K) divided by the sum of K and 16-O-methylcafestol (16MCF) was developed. No internal/external standard was used. Moreover, the quantitation of the unsaponifiable compounds is not necessary, as well as the calculation of any response factors. The percentage of Robusta in 34 samples of coffee blends with known composition, and in 48 samples of pure varieties was used to build a cubic polynomial function with R(2)=0.998. The roasting conditions did not affect the results. Considering eight commercial blends (ranging 0-90% Robusta), no significant difference (two-tailed P=0.817) was registered between the claimed and the predicted composition.
由于阿拉比卡豆的价格目前是罗布斯塔豆的两倍以上,因此,对于用于意大利浓咖啡的商业混合咖啡的认证来说,快速、可靠的方法来确定烘焙咖啡混合物的成分是至关重要的。建立了一种基于卡沃醇(K)的积分峰面积与 K 和 16-O-甲基咖啡醇(16MCF)之和的比例的 GC-FID 方法。没有使用内标或外标。此外,不需要定量非皂化物,也不需要计算任何响应因子。在 34 个已知成分的咖啡混合物样品和 48 个纯品种的样品中,使用罗布斯塔的百分比来构建 R(2)=0.998 的三次多项式函数。烘焙条件不影响结果。考虑到八种商业混合咖啡(罗布斯塔含量 0-90%),宣称的和预测的成分之间没有显著差异(双侧 P=0.817)。