电子舌对掺入果葡糖浆掺假蜂蜜的识别

采用电子舌对不同蜂蜜以及掺入果葡糖浆的蜂蜜样品进行测定,对所获得的数据进行主成分分析、判别因子分析和偏最小二乘回归分析。结果表明:电子舌能够区分不同蜂蜜样品和掺假蜂蜜样品(果葡糖浆掺入比例≥5%);对掺假蜂蜜样品建立了偏最小二乘回归分析预测模型,电子舌响应信号和果葡糖浆掺入比例之间有很好的相关性(决定系数R2为0.992 0),偏最小二乘回归分析模型预测误差均≤5%(掺入比例为10%~70%)。试验证明电子舌可用于掺入果葡糖浆的掺假蜂蜜的识别。

Adulteration detection of honey based on electronic tongue

An electronic tongue was used to analyze unadulterated and adulterated honey samples. The response signals were analyzed by principal component analysis (PCA), discriminant factor analysis (DFA) and partial least-squares analysis (PLS). The results indicated that electronic tongue could recognize unadulterated and adulterated honey samples (the adulterated ratio of high fructose syrup was above 5%). Coefficient of determination between sensors response signals and the ratio of high fructose syrup of PLS model was 0.992 0. The prediction error of PLS model was within 5% (the adulterated ratio of high fructose syrup was between 10% to 70%). It was proved that electronic tongue could be applied in honey discrimination.