物联网集成和深度学习辅助的电化学传感器用于水样中重金属的多路传感

IF 10.4 1区 工程技术 Q1 ENGINEERING, CHEMICAL
Sreerama Amrutha Lahari, Nikhil Kumawat, Khairunnisa Amreen, R. N. Ponnalagu, Sanket Goel
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引用次数: 0

摘要

重金属测量对生态风险评估和法规遵从至关重要。本研究报道了一种使用金纳米粒子修饰的碳线电极的传感器,用于同时检测水样中的Cd 2 +、Pb 2 +、Cu 2 +和Hg 2 +。采用差分脉冲伏安法(DPV),检出限分别为0.99µM、0.62µM、1.38µM和0.72µM,线性范围为1 ~ 100µM。该传感器在酸性条件下有效工作,具有良好的选择性、重复性和再现性。对来自印度海得拉巴各湖泊的真实水样进行了分析,以验证其实际应用。为了提取感知特征,采用卷积神经网络(CNN)模型对DPV信号进行处理,提高了重金属离子的分类精度。评估了精度、召回率和F1分数等性能指标。与物联网技术的融合改善了用户体验,提高了重金属量化能力,并进一步实现了远程监控。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

IoT integrated and deep learning assisted electrochemical sensor for multiplexed heavy metal sensing in water samples

IoT integrated and deep learning assisted electrochemical sensor for multiplexed heavy metal sensing in water samples

Heavy metal measurement is vital for ecological risk assessment and regulatory compliance. This study reports a sensor using gold nanoparticle-modified carbon thread electrodes for the simultaneous detection of Cd²⁺, Pb²⁺, Cu²⁺, and Hg²⁺ in water samples. Differential pulse voltammetry (DPV) was employed, achieving detection limits of 0.99 µM, 0.62 µM, 1.38 µM, and 0.72 µM, respectively, with a linear span of 1–100 µM. The sensor operated effectively in acidic conditions, with excellent selectivity, repeatability, and reproducibility. Real water samples from various lakes in Hyderabad, India, were analyzed to validate their practical application. To extract the sensing features a convolutional neural network (CNN) model was used to process DPV signals, enhancing heavy metal ion classification with high accuracy. Performance metrics such as precision, recall, and F1 score were evaluated. Integration with IoT technology has improved the user experience, advanced heavy metal quantification capabilities, and further enabled remote monitoring.

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来源期刊
npj Clean Water
npj Clean Water Environmental Science-Water Science and Technology
CiteScore
15.30
自引率
2.60%
发文量
61
审稿时长
5 weeks
期刊介绍: npj Clean Water publishes high-quality papers that report cutting-edge science, technology, applications, policies, and societal issues contributing to a more sustainable supply of clean water. The journal's publications may also support and accelerate the achievement of Sustainable Development Goal 6, which focuses on clean water and sanitation.
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