Year: 2024
Type: article
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.
Source: Sensors
DOI: 10.3390/s24237756
Authors: Duixiong Sun, Xinrong Ma, Jiawei Chang, Guoding Zhang, Maogen Su, Marek Sikorski, Vincent Detalle, Xueshi Bai
Institutions: Northwest Normal University, Adam Mickiewicz University in Poznań, Centre National de la Recherche Scientifique, Centre de recherche et de restauration des musées de France, Laboratoire des systèmes et applications des technologies de l'information et de l'énergie, CY Cergy Paris Université, Fondation des Sciences du Patrimoine
Language: English
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,955
Awards: G1304131861, G1329758691, G13998632, G1480239814, G1511292823, G1560442969, G2328333894, G251627827, G3814704245, G4032451055, G4064309240, G4626376361, G4695085335, G4857053961, G5171776896, G6722988096, G6926959350, Biblissima+, Observatoire des cultures écrites anciennes, de l’argile à l’imprimé, G7748460130, G7791941371, G7826688521, G7881220606, G937194939
OpenAlex ID: W4404994479