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首页> 外文期刊>Journal of Electroanalytical Chemistry: An International Journal Devoted to All Aspects of Electrode Kinetics, Interfacial Structure, Properties of Electrolytes, Colloid and Biological Electrochemistry >Using multivariate analyses to compare subsets of electrodes and potentialswithin an electrode array for predicting sugar concentrations in mixed solutions
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Using multivariate analyses to compare subsets of electrodes and potentialswithin an electrode array for predicting sugar concentrations in mixed solutions

机译：使用多元分析比较电极阵列中的电极和电位子集，以预测混合溶液中的糖浓度

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摘要

A non-selective electrode array is presented for the quantification of fructose, galactose, and glucose inmixed solutions. A unique feature of this electrode array relative to other published work is the widediversity of electrode materials incorporated within the array, being constructed of 41 different metalsand metal alloys. Cyclic voltammograms were acquired for solutions containing a single sugar at varyingconcentrations, and the correlation between current and sugar concentration was calculated as a functionof potential and electrode array element. The correlation plots identified potential regions and electrodesthat scaled most linearly with sugar concentration, and the number of electrodes used in building predic-tive models was reduced to 15. Partial least squares regression models relating electrochemical responseto sugar concentration were constructed using data from single electrodes and multiple electrodes withinthe array, and the predictive abilities of these models were rigorously compared using a non-parametricWilcoxon test. Models using single electrodes (Pt:Rh (90:10) for fructose, Au:Ni (82:18) for galactose, andAu for glucose) were judged to be statistically superior or indistinguishable from those built with multi-ple electrodes. Additionally, for each sugar, interval partial least squares regression successfully identifieda subset of potentials within a given electrode that generated a model of statistically equivalent predic-tive ability relative to the full potential model. While including data from multiple electrodes offered nobenefit in predicting sugar concentration, use of the array afforded the versatility and flexibility of select-ing the best single electrode for each sugar.
机译：提出了一种非选择性电极阵列，用于定量果糖，半乳糖和葡萄糖混合溶液。相对于其他已发表的工作，该电极阵列的独特之处在于，该电极阵列中包含的电极材料种类繁多，由41种不同的金属和金属合金构成。采集不同浓度的单一糖溶液的循环伏安图，计算电流和糖浓度之间的相关性，作为电位和电极阵列元件的函数。相关图确定了电位区域和与糖浓度成线性比例最大的电极，用于构建预测模型的电极数量减少到15个。使用来自单个电极的数据和与糖浓度有关的电化学最小二乘回归模型构建。阵列中的多个电极，并使用非参数Wilcoxon检验严格比较了这些模型的预测能力。使用单电极的模型（果糖为Pt：Rh（90:10），半乳糖为Au：Ni（82:18），葡萄糖为Au）的模型在统计学上优于与多个电极建立的模型或无法区分。另外，对于每种糖，区间偏最小二乘回归成功地确定了给定电极内的电势子集，该子集生成了相对于完整电势模型在统计上等效的预测能力的模型。尽管包括来自多个电极的数据在预测糖浓度方面没有益处，但使用阵列提供了为每种糖选择最佳单个电极的多功能性和灵活性。

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