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Classification of monofloral honeys by voltammetric electronic tongue with chemometrics method

机译:伏安电子舌化学计量学方法对单花蜂蜜的分类

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A voltammetric electronic tongue (VE-tongue) based on multi frequency large amplitude pulse voltammetry (MLAPV) was developed to classify monofloral honeys of seven kinds of floral origins. The VE-tongue was composed of six working electrodes (gold, silver, platinum, palladium, tungsten, and titanium) in a standard three-electrode configuration. The applied waveform of MLAPV was composed of four individual frequencies: 1 Hz, 10 Hz, 100 Hz, and 1000 Hz. Two eigenvalues (the maximum value and the minimum value) of each cycle were extracted for building the first database (FDB); four eigenvalues (the maximum value, the minimum value, and two inflexion values) were exacted for building the second database (SDB). The two databases were analyzed by three-pattern recognition techniques: principal component analysis (PCA), discriminant function analysis (DFA) and cluster analysis (CA), respectively. It was possible to discriminate the seven kinds of honeys of different floral origins completely based on FDB and SDB by PCA, DFA and CA, and FDB was certificated as an efficient database by contrasting with the SDB. Moreover, the effective working electrodes and frequencies were picked out as the best experimental project for the further study.
机译:基于多频率大幅度脉冲伏安法(MLAPV)的伏安电子舌(VE-舌头)被开发出来,以对七种花起源的单花蜂蜜进行分类。 VE舌由标准三电极配置的六个工作电极(金,银,铂,钯,钨和钛)组成。 MLAPV的施加波形由四个单独的频率组成:1 Hz,10 Hz,100 Hz和1000 Hz。提取每个周期的两个特征值(最大值和最小值)以建立第一个数据库(FDB);为建立第二个数据库(SDB)精确了四个特征值(最大值,最小值和两个弯曲值)。通过三种模式识别技术分别分析了这两个数据库:主成分分析(PCA),判别函数分析(DFA)和聚类分析(CA)。由PCA,DFA和CA完全基于FDB和SDB可以区分出七种不同花卉来源的蜂蜜,并且与SDB相比,FDB被证明是有效的数据库。此外,挑选出有效的工作电极和频率作为进一步研究的最佳实验项目。

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