硝酸离子选择电极的测量实验及数学模型

Zhikai Chang, Ying Zhu, Li Zhang, S. Du
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引用次数: 4

摘要

与传统的实验室化学分析相比,离子选择电极(ISE)具有省时、低成本、使用方便、无污染等优点。为了快速检测土壤硝态氮含量,可以采用硝酸根离子选择电极。本文研究了硝酸盐ISE的特性。在研究过程中进行了利用硝酸ISE测量硝酸钠溶液的电位测定实验。利用最小二乘法建立了基于能斯特方程的线性回归模型。在一个浓度下测量几组电位值,然后计算它们的算术平均值。在LSM中使用这些平均值及其相应的浓度,以减少ISE相对较差的可重复性的影响,并减少硝酸盐浓度预测误差。以预测误差为指标,验证了建模方法的可行性。在本研究中,使用除校准点外的额外数据点来检验预测误差。除几个奇异点外,该模型的相对误差为1.3% ~ 13.67%(绝对值)。与每次校准相比,如果ISE在使用一定次数后进行校准,则可以使用该建模方法来确定硝酸盐浓度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measurement Experiment and Mathematical Model of Nitrate Ion Selective Electrode
Compared with conventional laboratory chemical analysis, ion selective electrode (ISE) is time-saving, low-cost, ease of use and pollution-free. To detect soil nitrate nitrogen content rapidly, a nitrate ion selective electrode could be used. This paper studied characteristics of nitrate ISE. Potentiometric experiments utilizing nitrate ISE to measure sodium nitrate solution were conducted during the study. A linear regression model based on the Nernst equation was built using the least square method. Several groups of potential values were measured at one concentration and then the arithmetic mean of them was calculated. These mean values and their corresponding concentrations were used in LSM to reduce the impact of the relatively poor repeatability of ISE and reduce nitrate concentration prediction errors. The feasibility of the modeling method was verified using prediction errors as an index. In this study, extra data points except the calibration points were used to test the prediction error. Except several singular points, the relative error of this model was from 1.3% to 13.67% (absolute value). Compared with calibration each time, this modeling method can be used to determinate the nitrate concentration if ISE will be calibrated after using for a certain number of times.
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