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加那利群岛(西班牙)葡萄酒的金属含量。人工神经网络在数据分析中的应用。

Metallic content of wines from the Canary Islands (Spain). Application of artificial neural networks to the data analysis.

作者信息

Frías Sergio, Conde José E, Rodríguez Miguel A, Dohnal Vlasta, Pérez-Trujillo Juan P

机构信息

Department of Analytical Chemistry, Nutrition and Food Science, University of La Laguna, Santa Cruz de Tenerife, Spain.

出版信息

Nahrung. 2002 Oct;46(5):370-5. doi: 10.1002/1521-3803(20020901)46:5<370::AID-FOOD370>3.0.CO;2-F.

DOI:10.1002/1521-3803(20020901)46:5<370::AID-FOOD370>3.0.CO;2-F
PMID:12428457
Abstract

Eleven elements, K, Na, Ca, Mg, Fe, Cu, Zn, Mn, Sr, Li and Rb, were determined in dry and sweet wines bearing the denominations of origin of El Hierro, La Palma and Lanzarote islands (Canary Islands, Spain). Analyses were performed by flame atomic absorption spectrophotometry, with the exceptions of Li and Rb for which flame atomic emission spectrophotometry was used. The content in copper and iron did not present risks of cases. All samples presented a copper and zinc content below the maximum amount recommended by the Office International de la Vigne et du Vin (OIV) for these elements. Significant differences in the metallic content were found among the different islands. Thus, Lanzarote presented the highest mean content in sodium and lithium and the lowest mean content in rubidium, and La Palma presented the highest mean content in strontium and rubidium. Sweet wines from La Palma, elaborated as naturally sweet with over-ripe grapes, presented mean contents significantly higher with regard to dry wines from the same island in the majority of the analysed elements. Cluster analysis and Kohonen self-organising maps showed differences in wines according to the island of origin and the ripening state of the grapes. Back-propagation artificial neural networks showed better prediction ability than stepwise linear discriminant analysis.

摘要

对产自耶罗岛、拉帕尔马岛和兰萨罗特岛(西班牙加那利群岛)法定产区的干型葡萄酒和甜型葡萄酒中的11种元素(钾、钠、钙、镁、铁、铜、锌、锰、锶、锂和铷)进行了测定。除锂和铷采用火焰原子发射分光光度法测定外,其他元素均采用火焰原子吸收分光光度法进行分析。铜和铁的含量不存在超标风险。所有样品中铜和锌的含量均低于国际葡萄与葡萄酒组织(OIV)对这些元素的推荐最高限量。不同岛屿间金属元素含量存在显著差异。因此,兰萨罗特岛的钠和锂平均含量最高,铷平均含量最低;拉帕尔马岛的锶和铷平均含量最高。用过度成熟葡萄酿造的拉帕尔马岛天然甜型葡萄酒,在大多数分析元素上的平均含量显著高于同一岛屿的干型葡萄酒。聚类分析和Kohonen自组织映射图显示,葡萄酒因产地和葡萄成熟度不同而存在差异。反向传播人工神经网络的预测能力优于逐步线性判别分析。

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