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通过电化学抛光碳电极增强重金属检测。

Enhancing Heavy Metal Detection through Electrochemical Polishing of Carbon Electrodes.

机构信息

Institute for Micromanufacturing (IfM), Louisiana Tech University, Ruston, LA 71272, USA.

Center for Biomedical Engineering and Rehabilitation Science (CBERS), Louisiana Tech University, Ruston, LA 71272, USA.

出版信息

Biosensors (Basel). 2024 Aug 24;14(9):412. doi: 10.3390/bios14090412.

DOI:10.3390/bios14090412
PMID:39329787
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11429634/
Abstract

Our research addresses the pressing need for environmental sensors capable of large-scale, on-site detection of a wide array of heavy metals with highly accurate sensor metrics. We present a novel approach using electrochemically polished (ECP) carbon screen-printed electrodes (cSPEs) for high-sensitivity detection of cadmium and lead. By applying a range of techniques, including scanning electron microscopy, energy-dispersive spectroscopy, Raman spectroscopy, electrochemical impedance spectroscopy, and cyclic voltammetry, we investigated the impact of the electrochemical potential scan range, scan rate, and the number of cycles on electrode response and its ability to detect cadmium and lead. Our findings reveal a 41 ± 1.2% increase in voltammogram currents and a 51 ± 1.6% decrease in potential separations ( = 3), indicating a significantly improved active electrode area and kinetics. The impedance model elucidates the microstructural and electrochemical property changes in the ECP-treated electrodes, showing an 88 ± 2% ( = 3) decrease in the charge transfer resistance, leading to enhanced electrode electrical conductivity. A bismuth-reduced graphene oxide nanocomposite-modified, ECP-treated electrode demonstrated a higher cadmium and lead sensitivity of up to 5 ± 0.1 μAppbcm and 2.7 ± 0.1 μAppbcm ( = 3), respectively, resulting in sub-ppb limits of detection in spiked deionized water samples. Our study underscores the potential of optimally ECP-activated electrodes as a foundation for designing ultrasensitive heavy metal sensors for a wide range of real-world heavy metal-contaminated waters.

摘要

我们的研究旨在满足对环境传感器的迫切需求,这些传感器能够大规模、现场检测各种重金属,且具有高度精确的传感器指标。我们提出了一种使用电化学抛光(ECP)碳丝网印刷电极(cSPE)的新方法,用于高灵敏度检测镉和铅。通过应用一系列技术,包括扫描电子显微镜、能量色散光谱、拉曼光谱、电化学阻抗谱和循环伏安法,我们研究了电化学电位扫描范围、扫描速率和循环次数对电极响应及其检测镉和铅能力的影响。我们的发现表明,伏安图电流增加了 41 ± 1.2%,而电位分离减少了 51 ± 1.6%( = 3),这表明活性电极面积和动力学得到了显著改善。阻抗模型阐明了 ECP 处理电极的微观结构和电化学性质变化,表明电荷转移电阻降低了 88 ± 2%( = 3),从而提高了电极的电导率。铋还原氧化石墨烯纳米复合材料修饰的 ECP 处理电极表现出更高的镉和铅灵敏度,分别高达 5 ± 0.1 μAppbcm 和 2.7 ± 0.1 μAppbcm( = 3),导致在加标去离子水样品中检测到亚 ppb 级别的限。我们的研究强调了最佳 ECP 激活电极作为设计用于各种实际重金属污染水的超灵敏重金属传感器的基础的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/efc1cb078a92/biosensors-14-00412-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/cb357c0a625d/biosensors-14-00412-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/8e8793db2585/biosensors-14-00412-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/70085ed399ce/biosensors-14-00412-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/44061c89aad5/biosensors-14-00412-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/905d41bb0a8c/biosensors-14-00412-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/ae1068aa8ad6/biosensors-14-00412-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/6fd44f2f23e7/biosensors-14-00412-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/efc1cb078a92/biosensors-14-00412-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/cb357c0a625d/biosensors-14-00412-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/8e8793db2585/biosensors-14-00412-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/70085ed399ce/biosensors-14-00412-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/44061c89aad5/biosensors-14-00412-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/905d41bb0a8c/biosensors-14-00412-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/ae1068aa8ad6/biosensors-14-00412-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/6fd44f2f23e7/biosensors-14-00412-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a46/11429634/efc1cb078a92/biosensors-14-00412-g008.jpg

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