Fructal d.d., Tovarniška cesta 7, SI-5270 Ajdovščina, Slovenia.
Department of Agronomy, Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, SI-1000 Ljubljana, Slovenia.
Food Chem. 2016 Jul 15;203:86-94. doi: 10.1016/j.foodchem.2016.02.039. Epub 2016 Feb 10.
This study examined the applicability of stable isotope and multi-element data for determining the geographical origin of fresh apple juices. Samples included three apple cultivars (Idared, Golden Delicious and Topaz) harvested in 2011 and 2012 from five different geographical regions of Slovenia. Regional discrimination of the juice samples was most successful when using linear discriminant analysis (LDA) and taking into account the following parameters: δ(2)H and δ(18)O content of juice water; δ(15)N and δ(13)C content of the pulp, (D/H)I and (D/H)II in ethanol and the concentration of S, Cl, Fe, Cu, Zn and Sr. Overall prediction ability was 83.9%. The factors that best distinguished the different types of cultivar were the δ(2)H and δ(18)O content of fruit juice water; the δ(13)C and (D/H)I content of ethanol; and the concentration of S, Mg, K, Cu, and Ti. Prediction ability, taking into account all ten parameters, was 75.8%.
本研究旨在探讨稳定同位素和多元素数据在确定新鲜苹果汁地理来源方面的适用性。样本包括 2011 年和 2012 年从斯洛文尼亚五个不同地区收获的三个苹果品种（Idared、Golden Delicious 和 Topaz）。当使用线性判别分析（LDA）并考虑以下参数时，对果汁样本的区域判别最为成功：果汁水的 δ(2)H 和 δ(18)O 含量；果肉的 δ(15)N 和 δ(13)C 含量、乙醇中的 (D/H)I 和 (D/H)II 以及 S、Cl、Fe、Cu、Zn 和 Sr 的浓度。总体预测能力为 83.9%。能够最好地区分不同品种的因素是果汁水的 δ(2)H 和 δ(18)O 含量；乙醇的 δ(13)C 和 (D/H)I 含量；以及 S、Mg、K、Cu 和 Ti 的浓度。考虑到所有十个参数，预测能力为 75.8%。
