纳米材料增强的痕量重金属离子检测传感器:电化学和光学方法综述

IF 4 Q2 NANOSCIENCE & NANOTECHNOLOGY
Rafita Erli Adhawiyah, Jungchul Lee
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引用次数: 0

摘要

重金属离子(hmi),如汞(Hg)、铅(Pb)、镉(Cd)、砷(as)和铬(Cr),由于其毒性、生物蓄积性和长期持久性而成为严重的环境问题,因此有必要开发敏感和选择性的检测技术。基于实验室的方法,如原子吸收光谱,提供了很高的准确性,但它们的需求点部署受到它们依赖大型设备和复杂的样品制备的限制。这篇综述强调了纳米材料在传感平台中克服这些限制和电化学和光学检测技术的进步的关键作用。纳米材料的集成——包括碳基、金属基、硅基和量子点——通过增加表面面积、电子转移效率和等离子体效应,显着提高了传感器的性能。尽管取得了这些进展,但诸如矩阵干扰、确保信号再现性以及开发可扩展的制造方法等挑战仍然存在。未来的研究将集中于开发混合、多路复用和防污传感器架构,并将其与物联网(IoT)等数字技术相结合,以实现下一代超灵敏的人机界面监测平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nanomaterial-enhanced sensors for trace heavy metal ion detection: a review of electrochemical and optical methods

Heavy metal ions (HMIs), such as mercury (Hg), lead (Pb), cadmium (Cd), arsenic (As), and chromium (Cr), are a serious environmental issue due to their toxicity, bioaccumulation, and long-term persistence, making it necessary to develop sensitive and selective detection technologies. Laboratory-based methods, such as atomic absorption spectroscopy, provide high accuracy, but their point-of-need deployment is limited by their reliance on large equipment and complicated sample preparation. This review highlights the critical role of nanomaterial in sensing platforms in overcoming these limitations and advancements across electrochemical and optical detection techniques. The integration of nanomaterials-including carbon-based, metallic-based, silicon-based, and quantum dots-is shown to significantly enhance sensor performance through increased surface area, electron transfer efficiency, and plasmonic effects. Despite this progress, challenges such as matrix interference, ensuring signal reproducibility, and developing scalable fabrication methods remain. Future research will focus on developing hybrid, multiplexed, and antifouling sensor architectures integrated with digital technologies like the Internet of Things (IoT) to realize next-generation, ultra-sensitive HMIs monitoring platforms.

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来源期刊
Micro and Nano Systems Letters
Micro and Nano Systems Letters Engineering-Biomedical Engineering
CiteScore
10.60
自引率
5.60%
发文量
16
审稿时长
13 weeks
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