Multivariate correlation between color and mineral composition of honeys and by their botanical origin
Multivariate correlation between color and mineral composition of honeys and by their botanical origin
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DOI：
10.1021/jf048207p
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发表时间：
2005-04-06
影响因子：
6.1
通讯作者：
Heredia, FJ
中科院分区：
文献类型：
--
作者：
González-Miret, ML;Terrab, A;Heredia, FJ
对77个蜂蜜样品的矿物质含量和颜色特征进行了分析。对每个蜂蜜的18种矿物质进行了量化。用多元线性回归(MLR)建立了CIELAB比色坐标与矿物数据之间的关系式。结果表明，暗蜂蜜类型(牛油果、石南果、板栗、蜜露)的白度(L)与S、钙、铁、砷、铅、镉呈显著正相关。对于浅色和棕色蜂蜜类型(柑橘、迷迭香、薰衣草、桉树和百里香)，C-ab*和b*与蜂蜜的矿物质含量相关性较低；它们的回归函数涉及几个自变量(b*为mg和Al，C-ab*仅为Al)。此外，通过对矿物质含量进行线性判别分析，可以得到根据蜂蜜的亮度对蜂蜜进行分类的模型。用测试集方法检验所建模型的预测能力为85%。
The mineral content and color characteristics of 77 honey samples were analyzed. Eighteen minerals were quantified for each honey. Multiple linear regression (MLR) was used to establish equations relating the colorimetric CIELAB coordinates to the mineral data. The results obtained shown that lightness (L*) was significantly correlated with S, Ca, Fe, As, Pb, and Cd for the dark honey types (avocado, heather, chestnut, and honeydew). For the light and brown honey types (citrus, rosemary, lavender, eucalyptus, and thyme), C-ab* and b* showed the lower correlation with the mineral content of the honeys; their regression functions involve a few independent variables (Mg and Al for b* and only Al for C-ab*). Furthermore, by means of application of linear discriminant analysis to the mineral content, it was possible to obtain a model that classifies the honeys by their lightness. The prediction ability of the built model, determined with the test set method, was 85%.