Faculty of Food Engineering, Stefan cel Mare University of Suceava, 720029 Suceava, Romania.
Sensors (Basel). 2021 Jul 26;21(15):5059. doi: 10.3390/s21155059.
The aim of this study is to establish the usefulness of an electronic tongue based on cyclic voltammetry e-tongue using five working electrodes (gold, silver, copper, platinum and glass) in honey adulteration detection. Authentic honey samples of different botanical origin (acacia, , sunflower, polyfloral and raspberry) were adulterated with agave, maple, inverted sugar, corn and rice syrups in percentages of 5%, 10%, 20% and 50%. The silver and copper electrodes provided the clearest voltammograms, the differences between authentic and adulterated honey samples being highlighted by the maximum current intensity. The electronic tongue results have been correlated with physicochemical parameters (pH, free acidity, hydroxymethylfurfural content-5 HMF and electrical conductivity-EC). Using statistical methods such as Linear discriminant analysis (LDA) and Support vector machines (SVM), an accuracy of 94.87% and 100% respectively was obtained in the calibration step and 89.65% and 100% respectively in the validation step. The PLS-R (Partial Least Squares Regression) model (constructed from the minimum and maximum current intensity obtained for all electrodes) was used in physicochemical parameters prediction; EC reached the highest regression coefficients (0.840 in the calibration step and 0.842 in the validation step, respectively), being followed by pH (0.704 in the calibration step and 0.516 in the validation step, respectively).
本研究旨在建立一种基于循环伏安法的电子舌(使用 5 个工作电极:金、银、铜、铂和玻璃)在蜂蜜掺假检测中的有用性。使用不同植物来源(阿拉伯胶、 向日葵、多花、覆盆子)的纯正蜂蜜样品,与龙舌兰、枫糖浆、转化糖、玉米糖浆和米糖浆按 5%、10%、20%和 50%的比例进行掺假。银和铜电极提供了最清晰的伏安图,通过最大电流强度突出了纯正和掺假蜂蜜样品之间的差异。电子舌的结果与物理化学参数(pH 值、游离酸度、羟甲基糠醛含量-5 HMF 和电导率-EC)相关联。使用线性判别分析(LDA)和支持向量机(SVM)等统计方法,在标定步骤中分别获得了 94.87%和 100%的准确率,在验证步骤中分别获得了 89.65%和 100%的准确率。偏最小二乘回归(PLS-R)模型(由所有电极获得的最小和最大电流强度构建)用于预测物理化学参数;EC 达到了最高的回归系数(标定步骤中为 0.840,验证步骤中为 0.842),其次是 pH 值(标定步骤中为 0.704,验证步骤中为 0.516)。