Application of multi-variable calibration model of electrochemical sensor in high-accuracy long-term monitoring of cadmium ions

IF 6 2区 化学 Q1 CHEMISTRY, ANALYTICAL Analytica Chimica Acta Pub Date : 2025-06-01 Epub Date: 2025-03-22 DOI:10.1016/j.aca.2025.343970
Yichi Zhang , Junsheng Wang , Yuezhu Wang , Xiaotong Xu , Bingchen Liang , Qing Yu , Yinchun Li , Chenyang Wang , Xiaoming Xue
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Abstract

Background

As the issue of heavy metal pollution has become increasingly prominent, the electrochemical detection of trace heavy metal ions in the marine environment has emerged as a significant and commonly utilized method. The detection of heavy metal ions has been a gradual replacement of traditional methods with electrochemical detection. However, the temperature and pH of seawater vary with time and location, leading to biases in the detection results of conventional ion-selective membrane sensors that only focus on the relationship between concentration and voltage.

Results

This paper treats an experimental and modeling study to predict the electrochemical performance of ion-selective membrane sensors under varying temperatures and pH. By investigating the relationship between the working electrode response potential, pH, temperature, and cadmium ion concentration, a multivariate self-calibration model including pH, T, and the logarithm of cadmium ion concentration as independent variables was constructed. The determination coefficient R2 of the model was 0.9997, indicating a good fit. Automatic correction of electrochemical sensor minimizes the impact of temperature and pH, ensuring accurate readings of cadmium ion concentration during long-term monitoring. In addition, the recovery rates of Cd(II) concentration measurements were 113 % (coexisting with Na(I)) and 121 % (coexisting with Cu(II)), indicating good resistance to interference. Accuracy tests showed recovery rates ranging from 98 % to 121 %, demonstrating the good accuracy.

Significance

Therefore, the ion-selective membrane sensors can reduce the interference of temperature and pH on the measurement of heavy metal ion concentrations through the multivariate self-calibration model. This study provides a reliable detection method for addressing the issue of heavy metal pollution in water bodies and has a broad application prospect.

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电化学传感器多变量校准模型在高精度镉离子长期监测中的应用
随着重金属污染问题的日益突出,电化学检测海洋环境中痕量重金属离子已成为一种重要且常用的方法。重金属离子的检测已逐渐被电化学检测方法所取代。然而,海水的温度和pH值随时间和地点的变化而变化,导致传统离子选择膜传感器只关注浓度与电压的关系,检测结果存在偏差。结果对离子选择膜传感器在不同温度和pH下的电化学性能进行了实验和建模研究。通过研究工作电极响应电位、pH、温度和镉离子浓度之间的关系,构建了以pH、T和镉离子浓度对数为自变量的多元自校准模型。模型的决定系数R2为0.9997,拟合良好。电化学传感器的自动校正最大限度地减少温度和pH值的影响,确保在长期监测期间镉离子浓度的准确读数。此外,Cd(II)浓度测量回收率分别为113%(与Na(I)共存)和121%(与Cu(II)共存),具有良好的抗干扰性。准确度测试表明,该方法的回收率在98% ~ 121%之间,具有良好的准确度。因此,离子选择膜传感器可以通过多元自校准模型减少温度和pH对重金属离子浓度测量的干扰。本研究为解决水体重金属污染问题提供了可靠的检测方法,具有广阔的应用前景。
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文献相关原料
公司名称
产品信息
阿拉丁
copper chloride (CuCl2)
阿拉丁
sodium chloride (NaCl)
阿拉丁
Anhydrous cadmium chloride
阿拉丁
cadmium ionophore I (thioamide (N,N,N′,N′-Tetrabutyl-3,6-dioxaoctanedi
阿拉丁
potassium tetrakis (4-chlorophenyl) borate
阿拉丁
N,N-dimethyl formamide (DMF)
阿拉丁
Dimethyl sulfoxide (DMSO)
阿拉丁
Polyvinyl alcohol (PVA)
来源期刊
Analytica Chimica Acta
Analytica Chimica Acta 化学-分析化学
CiteScore
10.40
自引率
6.50%
发文量
1081
审稿时长
38 days
期刊介绍: Analytica Chimica Acta has an open access mirror journal Analytica Chimica Acta: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review. Analytica Chimica Acta provides a forum for the rapid publication of original research, and critical, comprehensive reviews dealing with all aspects of fundamental and applied modern analytical chemistry. The journal welcomes the submission of research papers which report studies concerning the development of new and significant analytical methodologies. In determining the suitability of submitted articles for publication, particular scrutiny will be placed on the degree of novelty and impact of the research and the extent to which it adds to the existing body of knowledge in analytical chemistry.
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