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首页> 外文期刊>The Journal of automatic chemistry >Characterization and Botanical Differentiation of Monofloral and Multifloral Honeys Produced in Cyprus, Greece, and Egypt Using Physicochemical Parameter Analysis and Mineral Content in Conjunction with Supervised Statistical Techniques
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Characterization and Botanical Differentiation of Monofloral and Multifloral Honeys Produced in Cyprus, Greece, and Egypt Using Physicochemical Parameter Analysis and Mineral Content in Conjunction with Supervised Statistical Techniques

机译：使用理化参数分析和矿物质含量与监督统计技术相结合，对塞浦路斯，希腊和埃及生产的单花和多花蜂蜜进行表征和植物学区分

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Thirty-four honey samples donated by beekeepers and purchased from supermarkets were collected during harvesting years 2010–2014 from Cyprus, Greece, and Egypt. The aims of this study were to characterize honey samples and, if possible, to differentiate honeys according to the honey type on the basis of physicochemical parameter values, mineral content, and their combination using supervised statistical techniques (linear discriminant analysis (LDA)). Physicochemical parameters (colour, pH, free acidity, total dissolved solids, salinity, electrical conductivity, and moisture content) were determined according to official methods, while minerals (Al, As, B, Ba, Be, Ca, Cd, Co, Cr, Cu, Fe, Hg, Mg, Mn, Mo, Ni, P, Pb, Sb, Si, Ti, Tl, V, and Zn) using inductively coupled plasma optical emission spectrometry. The majority of honey samples analyzed met the quality criteria set by the European directive and national decision related to honey. Implementation of multivariate analysis of variance (MANOVA) and LDA on specific physicochemical parameters, minerals, or their combination provided a satisfactory classification of honeys according to floral type. The overall correct classification rate (based on the cross-validation method) was 79.4% using 7 minerals and 91.2% using 8 physicochemical parameters. When the 15 parameters were combined, the classification rate of Egyptian honeys was improved by 25%.
机译：养蜂人捐赠并从超级市场购买的三十四份蜂蜜样品是在2010-2014年收获期间从塞浦路斯，希腊和埃及收集的。这项研究的目的是表征蜂蜜样品，并在可能的情况下，根据理化参数值，矿物质含量及其组合，使用监督统计技术（线性判别分析（LDA））根据蜂蜜类型来区分蜂蜜。根据官方方法确定理化参数（颜色，pH，游离酸度，总溶解固体，盐度，电导率和水分含量），而矿物（Al，As，B，Ba，Be，Ca，Cd，Co，Cr ，Cu，Fe，Hg，Mg，Mn，Mo，Ni，P，Pb，Sb，Si，Ti，Tl，V和Zn）。分析的大多数蜂蜜样品均符合欧洲指令和有关蜂蜜的国家决定所设定的质量标准。对特定理化参数，矿物质或它们的组合进行多变量方差分析（MANOVA）和LDA，可以根据花卉类型对蜂蜜进行令人满意的分类。使用7种矿物质的总正确分类率（基于交叉验证方法）为79.4％，使用8种物理化学参数的总正确分类率为91.2％。结合这15个参数，埃及蜂蜜的分类率提高了25％。

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