Gutiérrez Juan Manuel, Gutés Albert, Céspedes Francisco, del Valle Manuel, Muñoz Roberto
Bioelectronics Section, Department of Electrical Engineering, CINVESTAV, 07360 Mexico DF, Mexico.
Talanta. 2008 Jul 15;76(2):373-81. doi: 10.1016/j.talanta.2008.03.009. Epub 2008 Mar 21.
Three phenolic compounds, i.e. phenol, catechol and 4-acetamidophenol, were simultaneously determined by voltammetric detection of its oxidation reaction at the surface of an epoxy-graphite transducer. Because of strong signal overlapping, Wavelet Neural Networks (WNN) were used in data treatment, in a combination of chemometrics and electrochemical sensors, already known as the electronic tongue concept. To facilitate calibration, a set of samples (concentration of each phenol ranging from 0.25 to 2.5mM) was prepared automatically by employing a Sequential Injection System. Phenolic compounds could be resolved with good prediction ability, showing correlation coefficients greater than 0.929 when the obtained values were compared with those expected for a set of samples not employed for training.
通过在环氧石墨传感器表面对三种酚类化合物（即苯酚、邻苯二酚和对乙酰氨基酚）的氧化反应进行伏安检测，实现了对它们的同时测定。由于信号严重重叠，采用了小波神经网络（WNN）进行数据处理，这是化学计量学与电化学传感器相结合的方法，即已为人所知的电子舌概念。为便于校准，使用顺序注射系统自动制备了一组样品（每种酚的浓度范围为0.25至2.5 mM）。酚类化合物能够以良好的预测能力得到分辨，当将所得值与一组未用于训练的样品的预期值进行比较时，相关系数大于0.929。
