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Using A Segmented Voltage Sweep Mode and A Gaussian Curve Fitting Method to Improve Heavy Metal Measurement System Performance

机译:使用分段电压扫描模式和高斯曲线拟合方法提高重金属测量系统性能

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This paper presents a voltammetric segmented voltage sweep mode that can be used to identify and measure heavy metals' concentrations. The proposed sweep mode covers a set of voltage ranges that are centered around the redox potentials of the metals that are under analysis. The heavy metal measurement system can take advantage of the historical database of measurements to identify the metals with higher concentrations in a given geographical area, and perform a segmented sweep around predefined voltage ranges or, alternatively, the system can perform a fast linear voltage sweep to identify the voltammetric current peaks and then perform a segmented voltage sweep around the set of voltages that are associated with the voltammetric current peaks. The paper also includes the presentation of two auto-calibration modes that can be used to improve system's reliability and proposes the usage of a Gaussian curve fitting of voltammetric data to identify heavy metals and to evaluate their concentrations. Several simulation and experimental results, that validate the theoretical expectations, are also presented in the paper.
机译:本文提出了伏安分段电压扫描模式,可用于识别和测量重金属的浓度。拟议的扫描模式涵盖了一组电压范围,该电压范围以正在分析的金属的氧化还原电位为中心。重金属测量系统可以利用测量的历史数据库来识别给定地理区域中浓度较高的金属,并在预定义的电压范围内执行分段扫描,或者,系统可以执行快速线性电压扫描以达到确定伏安电流峰值,然后围绕与伏安电流峰值相关的一组电压执行分段电压扫描。本文还介绍了两种可用于提高系统可靠性的自动校准模式,并提出了使用伏安数据的高斯曲线拟合来识别重金属并评估其浓度的方法。本文还提供了一些验证理论预期的仿真和实验结果。

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