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Analysis of Phenolic Content in Grape Seeds and Skins by Means of a Bio-Electronic Tongue

机译:通过生物电子舌剂分析葡萄种子和皮肤的酚类含量

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摘要

A bio-electronic tongue has been developed to evaluate the phenolic content of grape residues (seeds and skins) in a fast and easy way with industrial use in mind. A voltammetric electronic tongue has been designed based on carbon resin electrodes modified with tyrosinase combined with electron mediators. The presence of the phenoloxydase promotes the selectivity and specificity towards phenols. The results of multivariate analysis allowed discriminating seeds and skins according to their polyphenolic content. Partial least squares (PLS) has been used to establish regression models with parameters related to phenolic content measured by spectroscopic methods i.e., total poliphenol content (TPC) and Folin–Ciocalteu (FC) indexes. It has been shown that electronic tongue can be successfully used to predict parameters of interest with high correlation coefficients (higher than 0.99 in both calibration and prediction) and low residual errors. These values can even be improved using genetic algorithms for multivalent analysis. In this way, a fast and simple tool is available for the evaluation of these values. This advantage may be due to the fact that the electrochemical signals are directly related to the phenolic content.
机译:已经开发了一种生物电子舌,以以一种快速简便的方式评估葡萄残留物(种子和皮肤)的酚醛含量。基于用酪氨酸酶联合电子介质的碳树脂电极设计了一种伏安电子舌。酚氧基酶的存在促进了苯酚的选择性和特异性。多变量分析的结果允许根据其多酚含量判别种子和皮肤。部分最小二乘(PLS)已被用于建立回归模型,其与通过光谱方法测量的酚含量相关的参数I.,总果酚含量(TPC)和Folin-Ciocalteu(Fc)指标。已经表明,电子舌可以成功地用于预测具有高相关系数的感兴趣的参数(在校准和预测中高于0.99)和低残留误差。甚至可以使用用于多价分析的遗传算法来改善这些值。以这种方式,快速简单的工具可用于评估这些值。这种优点可能是由于电化学信号直接与酚含量直接相关。

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