Cátedra de Apicultura y Calidad y Tecnología de miel, Unidad Integrada Balcarce, Facultad de Ciencias Agrarias, UNMdP - Estación Experimental Agropecuaria, INTA, Argentina.
Centro de Investigación y Desarrollo en Criotecnología de Alimentos (CIDCA), Facultad de Ciencias Exactas, UNLP - CCT La Plata - CONICET, 47 y 116, 1900 La Plata, Argentina.
Food Chem. 2014;152:500-7. doi: 10.1016/j.foodchem.2013.12.011. Epub 2013 Dec 10.
The physicochemical parameters (moisture, hydroxymethyl furfural, colour, electrical conductivity, free acidity, glucose, fructose and sucrose) and the sensory properties(aroma, taste, appeareance, texture) were determined in honeys from apiaries of the agricultural, hills and meadow zones of the south east region of Buenos Aires province (Argentina). The analysis of variance showed significant differences among zones in the mean value of hydroximethyl furfural, colour, electrical conductivity and sucrose content. The principal component analysis explained the 70% of the variance among samples with the first two principal components in both cases. The cluster analysis and linear discriminant analysis showed that samples were grouped in relation to the sampling region coinciding with the results of the principal component analysis. Results suggest that could be possible to classify honeys according to the geographic origin based on the physicochemical parameters; however, the sensory properties were not good predictors.
对来自布宜诺斯艾利斯省东南部农业区、山区和草原区的蜂场蜂蜜的理化参数(水分、羟甲基糠醛、色泽、电导率、游离酸度、葡萄糖、果糖和蔗糖)和感官特性(香气、味道、外观、质地)进行了测定。方差分析显示,各区羟甲基糠醛、色泽、电导率和蔗糖含量的平均值存在显著差异。主成分分析用前两个主成分分别解释了 70%的样本方差。聚类分析和线性判别分析表明,样本根据采样区域进行分组,与主成分分析的结果一致。结果表明,根据地理来源,基于理化参数对蜂蜜进行分类是可能的;然而,感官特性并不是很好的预测指标。