New mathematical method for detection of the metal-catalyzer traces on the modified electrodes surface

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Abstract

New mathematical approach for characterization of the measured voltammograms (VAGs) obtained for electrodes with catalytic response and modified by nanoparticles of gold (Au) and palladium (Pd) was applied. The cases with tracing concentrations of the electrodeposited catalyzer were considered, when the corresponding VAGs for the solutes containing catalyzer and background coincide practically with each other. Using the catalyzer electrode response of dopamine (DA) and new mathematical approach for description of the remnant current fluctuations, it was shown that becomes possible to extract a useful information from the measured VAGs because of increasing the limits of the signal/noise ratio. The fluctuations of the remnant currents are transformed into a specific “confidence tube” that is used for detection of the VAGs perturbations evoked by the presence of the analyte traces. Using the proposed mathematical method, it becomes possible to achieve the low boundary of the DA detection up to 10-8 M.
一种检测修饰电极表面金属催化剂痕量的新数学方法
采用新的数学方法来表征具有催化反应并被金(Au)和钯(Pd)纳米粒子修饰的电极的测量伏安图(VAGs)。考虑了电沉积催化剂示踪浓度的情况,当含催化剂的溶质对应的VAGs与背景实际吻合时。利用多巴胺(DA)的催化电极响应和描述残余电流波动的新数学方法,可以从测量的VAGs中提取有用的信息,因为增加了信噪比的限制。残余电流的波动被转换成一个特定的“置信管”,用于检测由分析物痕迹的存在引起的VAGs扰动。利用所提出的数学方法,可以实现高达10-8 M的DA检测低边界。
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