Department of Analytical Chemistry, University of Valencia, 50th Dr. Moliner Street, 46100 Burjassot, Valencia, Spain.
Food Chem. 2013 Dec 1;141(3):2191-7. doi: 10.1016/j.foodchem.2013.04.097. Epub 2013 May 9.
Chemometric analysis of inductively coupled plasma optical emission spectroscopy (ICP-OES) data was employed to verify the origin of cherry samples of different areas of Spain: Aragón, Cáceres, Castellón, Huesca and Alicante's Mountain Protected Geographic Indication (PGI). The ability of multivariate analysis methods, such as discriminant analysis (DA), was used to achieve cherry classification from their mineral content. The study was performed using 22 variables (concentrations of Al, As, B, Ba, Be, Bi, Ca, Cd, Co, Cr, Cu, Fe, K, Mg, Mn, Na, Ni, Pb, Se, Sr, Ti and Te) and 23 variables (concentrations of Al, As, B, Ba, Be, Bi, Ca, Cd, Cr, Cu, Fe, K, Li, Mg, Mo, Na, Ni, Pb, Se, Sr, Ti, Tl and V), for cherry stone and edible part, respectively, and the best discrimination was found on using edible part mineral composition which permits a correct classification of 100% of the considered samples.
采用电感耦合等离子体发射光谱法（ICP-OES）化学计量分析对来自西班牙不同地区（阿拉贡、卡塞雷斯、卡斯特利翁、韦斯卡和阿利坎特山区受保护地理标志）的樱桃样本进行溯源验证。利用判别分析（DA）等多元分析方法对樱桃进行分类，依据其矿物质含量。本研究使用 22 个变量（Al、As、B、Ba、Be、Bi、Ca、Cd、Co、Cr、Cu、Fe、K、Mg、Mn、Na、Ni、Pb、Se、Sr、Ti 和 Te 的浓度）和 23 个变量（Al、As、B、Ba、Be、Bi、Ca、Cd、Cr、Cu、Fe、K、Li、Mg、Mo、Na、Ni、Pb、Se、Sr、Ti、Tl 和 V 的浓度），分别对樱桃核和可食用部分进行分析，发现使用可食用部分矿物质组成进行最佳判别，可正确分类 100%的考虑样本。
