Department of Food and Nutrition, Chosun University, Gwangju 61452, Republic of Korea; Ethiopian Institute of Agricultural Research, Addis Ababa, Ethiopia.
World Institute of Kimchi, Gwangju 503-360, Republic of Korea.
Food Chem. 2016 Dec 1;212:512-20. doi: 10.1016/j.foodchem.2016.05.178. Epub 2016 May 31.
This study was aimed to establish the elemental profiling and provenance of coffee samples collected from eleven major coffee producing regions of Ethiopia. A total of 129 samples were analyzed for forty-five elements using inductively coupled plasma (ICP)-optical emission spectroscopy (OES), ICP-mass spectrometry (MS) and direct mercury analyzer (DMA). Among the macro elements, K showed the highest levels whereas Fe was found to have the lowest concentration values. In all the samples, Ca, K, Mg, P and S contents were statistically significant (p<0.05). Micro elements showed the concentrations order of: Mn>Cu>Sr>Zn>Rb>Ni>B. Contents of the trace elements were lower than the permissible standard values. Inter-regions differentiation by cluster analysis (CA), linear discriminant analysis (LDA) and principal component analysis (PCA) showed that micro and trace elements are the best chemical descriptors of the analyzed coffee samples.
本研究旨在建立来自埃塞俄比亚 11 个主要咖啡产区的咖啡样品的元素分析和来源分析。使用电感耦合等离子体(ICP)-光学发射光谱(OES)、电感耦合等离子体质谱(ICP-MS)和直接测汞仪(DMA)对 129 个样本进行了 45 种元素的分析。在常量元素中,K 的含量最高,而 Fe 的浓度值最低。在所有样品中,Ca、K、Mg、P 和 S 的含量均具有统计学意义(p<0.05)。微量元素的浓度顺序为:Mn>Cu>Sr>Zn>Rb>Ni>B。痕量元素的含量低于允许的标准值。通过聚类分析(CA)、线性判别分析(LDA)和主成分分析(PCA)对区域间的差异进行分析,结果表明,微量元素是分析咖啡样品的最佳化学描述符。