Department of Chemistry, Universitat Autònoma de Barcelona, Bellaterra, Spain.
Anal Chim Acta. 2012 Jun 30;732:172-9. doi: 10.1016/j.aca.2012.02.026. Epub 2012 Feb 22.
This work reports the application of a voltammetric electronic tongue system (ET) made from an array of modified graphite-epoxy composites plus a gold microelectrode in the qualitative and quantitative analysis of polyphenols found in wine. Wine samples were analyzed using cyclic voltammetry without any sample pretreatment. The obtained responses were preprocessed employing discrete wavelet transform (DWT) in order to compress and extract significant features from the voltammetric signals, and the obtained approximation coefficients fed a multivariate calibration method (artificial neural network-ANN-or partial least squares-PLS-) which accomplished the quantification of total polyphenol content. External test subset samples results were compared with the ones obtained with the Folin-Ciocalteu (FC) method and UV absorbance polyphenol index (I(280)) as reference values, with highly significant correlation coefficients of 0.979 and 0.963 in the range from 50 to 2400 mg L(-1) gallic acid equivalents, respectively. In a separate experiment, qualitative discrimination of different polyphenols found in wine was also assessed by principal component analysis (PCA).
本工作报道了一种由修饰石墨-环氧树脂复合材料阵列加金微电极组成的伏安电化学舌系统(ET)在定性和定量分析葡萄酒中多酚的应用。对葡萄酒样品进行了循环伏安分析,无需任何样品预处理。所得到的响应采用离散小波变换(DWT)进行预处理,以便从伏安信号中压缩和提取重要特征,并且获得的逼近系数被多元校准方法(人工神经网络-ANN 或偏最小二乘-PLS-)采用,从而完成总多酚含量的定量。外部测试子集样品的结果与使用 Folin-Ciocalteu(FC)方法和紫外吸收多酚指数(I(280))作为参考值获得的结果进行了比较,在 50 至 2400 mg L(-1)没食子酸当量范围内,分别得到了高度显著的相关系数 0.979 和 0.963。在另一个实验中,还通过主成分分析(PCA)评估了葡萄酒中不同多酚的定性区分。