In this work, nonspecific physico-chemical parameters were determined in 160 honey samples belonging to the four main botanical categories present in Sardinia Island, Italy (strawberry tree, thistle, asphodel and eucalyptus) in order to develop a discriminant method for determining the botanical origin of honey. All the possible combinations of the seven physico-chemical parameters (pH, free acidity, electrical conductivity, color, total phenolic compounds, FRAP activity, and DPPH activity) measured in the honey samples were evaluated by Linear Discriminant Analysis (LDA). LDA models led to the prediction of each botanical origin with a very low level of misclassification (typically less than 5%). Since very high levels of correct prediction in cross validation (98.3%) and external validation (100%) were obtained considering only four parameters (i.e. pH, acidity, conductivity and DPPH), these results might allow a fast and easy control of the botanical origin of honeys.

在这项工作中，测定了意大利撒丁岛中存在的四种主要植物类别（草莓树，蓟，水飞蓟和桉树属植物）的160种蜂蜜样品中的非特异性理化参数，以便开发一种判别方法来确定植物来源蜂蜜 通过线性判别分析（LDA）评估了蜂蜜样品中测得的七个物理化学参数（pH，游离酸度，电导率，颜色，总酚类化合物，FRAP活性和DPPH活性）的所有可能组合。LDA模型导致对每个植物起源的预测具有非常低的错误分类水平（通常小于5％）。由于交叉验证中的正确预测水平很高（98。