An electronic tongue (ET) consisting of two voltammetric sensors, namely a poly-ethylendioxythiophene modified Pt electrode and a sonogel carbon electrode, has been developed aiming at monitoring grape ripening. To test the effectiveness of device and measurement procedures developed, samples of three varieties of grapes have been collected from veraison to harvest of the mature grape bunches. The derived musts have been then submitted to electrochemical investigation using Differential Pulse Voltammetry technique. At the same time, quantitative determination of specific analytical parameters for the evaluation of technological and phenolic maturity of each sample has been performed by means of conventional analytical techniques. After a preliminary inspection by principal component analysis, calibration models were calculated both by partial least squares (PLS) on the whole signals and by the interval partial least squares (iPLS) variable selection algorithm, in order to estimate physico-chemical parameters. Calibration models have been obtained both considering separately the signals of each sensor of the ET, and by proper fusion of the voltammetric data selected from the two sensors by iPLS. The latter procedure allowed us to check the possible complementarity of the information brought by the different electrodes. Good predictive models have been obtained for estimation of pH, total acidity, sugar content, and anthocyanins content. The application of the ET for fast evaluation of grape ripening and of most suitable harvesting time is proposed.

为了监测葡萄成熟，已经开发了一种由两个伏安传感器组成的电子舌（ET），即聚乙二氧基噻吩修饰的Pt电极和sonogel碳电极。为了测试所开发的设备和测量程序的有效性，从葡萄收获期到收获成熟期都收集了三种葡萄品种的样品。然后使用微分脉冲伏安法将衍生的必需品进行电化学研究。同时，已经通过常规分析技术对用于确定每个样品的技术和酚类成熟度的特定分析参数进行了定量测定。经过主成分分析的初步检查后，通过估计整个信号的偏最小二乘（PLS）和区间偏最小二乘（iPLS）变量选择算法来计算校准模型，以估算理化参数。已获得校准模型，既可以分别考虑ET的每个传感器的信号，又可以通过iPLS对从两个传感器中选择的伏安数据进行适当融合而获得。后一程序使我们能够检查不同电极带来的信息的可能互补性。已获得良好的预测模型，用于估算pH，总酸度，糖含量和花色苷含量。提出了ET在快速评估葡萄成熟和最合适的收获时间中的应用。