Facile and highly sensitive nitrate ion detection via an electrochemical sensor based on a poly 1,8-diaminonaphthalene and copper oxide particle film

Abstract

Excessive nitrate accumulation in soil and water has become a critical environmental concern, threatening ecosystems and public health. This drives the need for designing new electrochemical nitrate sensors based on novel electroactive materials. In this work, we synthesized a hybrid film material composed of poly 1,8-diaminonaphthalene and copper oxide particles electrodeposited on the surface of a carbon paste electrode (Cu2O–CuO/poly 1,8-DAN/CPE). The electrodeposition of the polymer was conducted in galvanostatic mode at a positive current, followed by the electrodeposition of copper in potentiostatic mode at a negative potential. The polymeric film obtained through this facile electropolymerization method showed a uniform dispersion of copper particles and could improve the mechanical stability of the fabricated sensors, thereby leading to a low detection limit of nitrate ions. The Cu2O–CuO/poly 1,8-DAN/CPE was prepared in just 3 min in both the galvanostatic and potentiostatic mode. The developed sensor exhibited a good electrochemical performance for nitrate ions, with a linear range from 2 to 200 μM, strong stability, high reproducibility, and a low detection limit of 0.5 μM. This work revealed that the deposition of polymer can be applied as a promising material in new applications, such as water denitrification.

Graphical abstract: Facile and highly sensitive nitrate ion detection via an electrochemical sensor based on a poly 1,8-diaminonaphthalene and copper oxide particle film

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Article information

Article type
Paper
Submitted
18 Apr 2025
Accepted
12 Jun 2025
First published
03 Jul 2025

Anal. Methods, 2025, Advance Article

Facile and highly sensitive nitrate ion detection via an electrochemical sensor based on a poly 1,8-diaminonaphthalene and copper oxide particle film

S. Benhaiba, A. El Attar, O. Salhi, B. Bouljoihel, C. Jama, S. Youssefi, A. Ezzahi and M. El Rhazi, Anal. Methods, 2025, Advance Article , DOI: 10.1039/D5AY00655D

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