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Characterization of the Cultivation Region of Ethiopian Coffee by Elemental Analysis

机译:元素分析法表征埃塞俄比亚咖啡的种植区域

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摘要

Forty-nine green coffee (Coffea arabica L.) bean samples, representing the Harar, Jimma, Kaffa, Wollega, Sidama, and Yirgachefe varieties from east, west, and south Ethiopia were analyzed for Mg, P, S, Ca, Mn, Fe, Cu, Ba, Si, and K using inductively coupled plasma-optical emission spectroscopy. Principal component analysis was used to group the samples based on their elemental compositions. Application of linear discriminant analysis provided models with an accuracy of 92% for region of production and 79% for variety. The elements P, Mn, S, Cu, and Fe were the most discriminating elements. These results show that initial screening may be performed to characterize possible fraudulently labelled products with verification by the existing paper-based traceability system and sensory evaluation.
机译:分析了来自埃塞俄比亚东部,西部和南部的Harar,Jimma,Kaffa,Wollega,Sidama和Yirgachefe品种的49种生咖啡(Coffea arabica L.)豆样品中的Mg,P,S,Ca,Mn, Fe,Cu,Ba,Si和K使用电感耦合等离子体发射光谱法。主成分分析用于根据样品的元素组成对样品进行分组。线性判别分析的应用为生产区域的模型提供了92%的精度,为品种提供了79%的精度。元素P,Mn,S,Cu和Fe是最有区别的元素。这些结果表明,通过现有的基于纸张的可追溯性系统和感官评估的验证,可以进行初步筛选以表征可能带有欺诈标签的产品。

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