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使用液体阴极辉光放电光谱法分析溶液中的痕量重金属。

Analysis of Trace Heavy Metal in Solution Using Liquid Cathode Glow Discharge Spectroscopy.

作者信息

Sun Duixiong, Ma Xinrong, Chang Jiawei, Zhang Guoding, Su Maogen, Sikorski Marek, Detalle Vincent, Bai Xueshi

机构信息

Key Laboratory of Atomic and Molecular Physics & Functional Materials of Gansu Province, College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China.

Faculty of Chemistry, Adam Mickiewicz University, 61-614 Poznań, Poland.

出版信息

Sensors (Basel). 2024 Dec 4;24(23):7756. doi: 10.3390/s24237756.

Abstract

Heavy metal pollution, particularly from cadmium (Cd) and copper (Cu), poses significant environmental and health risks. To address the need for efficient, portable, and sensitive detection methods, this study introduces an improved atmospheric pressure glow discharge atomic emission spectrometry (APGD-AES) technique for quantifying Cd and Cu in water samples. The APGD-AES method offers key advantages, including low energy consumption (<33 W), high excitation energy, and compact design. The system was optimized for a discharge voltage of 550 V (Cd) and 570 V (Cu), a flow rate of 3.6 mL/min, and a solution pH of 1.0. Under these conditions, detection limits reached 16 µg/L for Cd and 1.3 µg/L for Cu. APGD-AES was tested on real water samples, including sewage and tap water, demonstrating compliance with national safety standards and comparable performance to graphite furnace atomic absorption spectrometry (GFAAS). This technique shows promise for real-time, on-site monitoring of trace heavy metals due to its portability, precision, and cost-efficiency.

摘要

重金属污染,尤其是镉(Cd)和铜(Cu)造成的污染,带来了重大的环境和健康风险。为满足对高效、便携且灵敏的检测方法的需求,本研究引入了一种改进的常压辉光放电原子发射光谱法(APGD - AES),用于定量分析水样中的镉和铜。APGD - AES方法具有诸多关键优势,包括低能耗(<33 W)、高激发能量以及紧凑的设计。该系统针对550 V(镉)和570 V(铜)的放电电压、3.6 mL/min的流速以及1.0的溶液pH值进行了优化。在这些条件下,镉的检测限达到16 µg/L,铜的检测限达到1.3 µg/L。APGD - AES在包括污水和自来水在内的实际水样上进行了测试,结果表明其符合国家安全标准,并且与石墨炉原子吸收光谱法(GFAAS)具有相当的性能。由于其便携性、精度和成本效益,该技术在实时、现场监测痕量重金属方面显示出了应用前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19cf/11644957/f7718975e9c7/sensors-24-07756-g001.jpg

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