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

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.

Authors

Institutions

Publication Details

Journal
Sensors
Published
2024-12-04
DOI
https://doi.org/10.3390/s24237756
Citations
1
Primary Topic
Electrochemical Analysis and Applications
Type
article
Field-Weighted Citation Impact
0.17

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Jia-Wei Chang, Marek Sikorski, Maogen Su, Xueshi Bai et al.
1 citations
Sensors
Electrochemical Analysis and Applications
0.17
article

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

Jia-Wei Chang, Marek Sikorski, Maogen Su, Xueshi Bai, Vincent Detalle, Xinrong Ma, Duixiong Sun, Guoding Zhang
article en
1 citations

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.

SensorsVol. 24(23)
Centre National de la Recherche Scientifique (FR), Centre de recherche et de restauration des musées de France (FR), Laboratoire des systèmes et applications des technologies de l'information et de l'énergie (FR), CY Cergy Paris Université (FR), Fondation des Sciences du Patrimoine, Adam Mickiewicz University in Poznań (PL), Northwest Normal University (CN)
Agence Nationale de la Recherche, National Natural Science Foundation of China, Innovation and Entrepreneurship Talent Project of Lanzhou
Clean water and sanitation
Openalex Percentile: Top 57%
Electrochemical Analysis and Applications
0.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.