One-step electrochemical elaboration of SnO2 modified electrode for lead ion trace detection in drinking water using SWASV - Le Mans Université Accéder directement au contenu
Article Dans Une Revue Environmental Science and Pollution Research Année : 2023

One-step electrochemical elaboration of SnO2 modified electrode for lead ion trace detection in drinking water using SWASV

Siham Lameche
  • Fonction : Auteur
Salah Eddine Berrabah
Abdelhakim Benchettara
  • Fonction : Auteur
Sabrina Tabti
  • Fonction : Auteur
Amar Manseri
  • Fonction : Auteur
Djaouida Djadi
  • Fonction : Auteur

Résumé

A facile method was proposed for the elaboration of an electrochemical sensor for heavy metal's trace detection by using square wave anodic stripping voltammetry (SWASV); this method is based on a simple anodic conversion of tin electrode into Sn/SnO 2 modified electrode. Both electrochemical and physico-chemical techniques were used to confirm the modification process and better understand the electrode's behavior. Then, depending on the operating conditions, the response signal was studied and adjusted in order to obtain optimal sensor performance. When optimized, the proposed method reached a lowest detection limit (LOD) of 2.15 μg L −1 (0.0104 μM), and quantification limit (LOQ) of 5.36 μg L −1 (0.0259 μM), in linearity range between from 6.2 and 20.7 μg L −1. Additionally, after having used the elaborated electrode for ten successive measurements, the repeatability remains very high with an RSD of approximately 5.3%; furthermore, ten other species appear to have very slight effect on Pb(II) detection. Finally, for the method validation, the proposed electrode was able to sense different lead concentration integrated in a local bottled spring water by showing recovery levels ranging from 103.8 to 108.4%.
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Dates et versions

hal-04015342 , version 1 (05-03-2023)

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Siham Lameche, Salah Eddine Berrabah, Abdelhakim Benchettara, Sabrina Tabti, Amar Manseri, et al.. One-step electrochemical elaboration of SnO2 modified electrode for lead ion trace detection in drinking water using SWASV. Environmental Science and Pollution Research, 2023, ⟨10.1007/s11356-023-25517-4⟩. ⟨hal-04015342⟩
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