INCA Istituto Nazionale delle Conserve Alimentari-Sede di Cosenza, Via N. Parisio 13, Cosenza, Italy.
J Agric Food Chem. 2010 Mar 24;58(6):3801-7. doi: 10.1021/jf903868j.
The concentration of 32 elements (Al, As, Ba, Be, Ca, Cd, Ce, Cu, Dy, Fe, K, La, Lu, Mg, Mn, Na, Nd, Pb, Rb, Sm, Sr, Th, U, V, Zn) was determined in tomatoes harvested in different four Italian regions and in triple concentrated tomato paste samples coming from Italy, China, Greece and California. The resulting multielement profiles were processed using three chemometric techniques to evaluate the possibility of discrimination between different cultivation areas. The closed-vessel microwave digested samples were diluted and analyzed by DRC-ICP-MS with CH(4) as reaction gas. The accuracy of the proposed method was considered acceptable (values in the range 75-120%) for 25 out of the 35 elements of the reference material NCS ZC85006 Tomato. The origin of tomato fruits and the areas of production as "Italy" and "non-Italy" of the triple concentrated pastes were evaluated by three supervised pattern recognition procedures, linear discriminant analysis (LDA), soft independent modeling of class analogy (SIMCA) and K-nearest neighbors (KNN).
测定了产自意大利四个不同地区的番茄和来自意大利、中国、希腊和加利福尼亚的三倍浓缩番茄泥样品中 32 种元素（Al、As、Ba、Be、Ca、Cd、Ce、Cu、Dy、Fe、K、La、Lu、Mg、Mn、Na、Nd、Pb、Rb、Sm、Sr、Th、U、V、Zn）的浓度。使用三种化学计量技术处理所得的多元素图谱，以评估区分不同种植区的可能性。采用密闭微波消解，CH(4)作为反应气体，通过 DRC-ICP-MS 对样品进行稀释分析。对于参考物质 NCS ZC85006 番茄中的 35 种元素中的 25 种，该方法的准确度被认为是可接受的（范围在 75-120%之间）。采用线性判别分析（LDA）、软独立建模分类类比（SIMCA）和 K-最近邻（KNN）三种有监督模式识别程序，对三倍浓缩番茄酱的番茄果实来源和生产地区（“意大利”和“非意大利”）进行了评估。
