Electrochemical Detection of Nitrite Based on Iron Oxide–Reduced Graphene Oxide Nanocomposite Modified Electrode in Real Water

Abstract This work presents a screen‐printed carbon electrode (SPCE) modified with iron oxide nanoparticles‐reduced graphene oxide (ION‐rGO) nanocomposite for the rapid and highly sensitive determination of nitrite in real water samples. The presence of both ION and rGO on the electrode surface enhances the sensing performance compared to the unmodified SPCE by reducing the charge transfer at the electrode/electrolyte interface. Under optimized conditions, it is demonstrated that the charge‐transfer resistance determined from electrochemical impedance spectroscopy (EIS) scales linearly with the logarithm of nitrite concentration. Due to its unique structure, the proposed nitrite sensor displays improved performance compared to our previous work, showing a linear range of 0.1 nM to 10 µM, a correlation coefficient of 0.9936, and an ultralow LOD of 17.3 pM. The results indicate that the modified electrodes possessed remarkable catalytic activity toward nitrite oxidation. Additionally, the ION‐rGO nanocomposite‐based sensor exhibited high sensitivity as well as good stability and reproducibility performance. The research findings demonstrate that the proposed sensor is a potential candidate for nitrite detection in real water sample analysis, which would be helpful in monitoring and protecting our global water resources.

Authors

Institutions

Publication Details

Journal
Advanced Sensor Research
Published
2025-07-21
DOI
https://doi.org/10.1002/adsr.202500021
Citations
3
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
2.19

Funders

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

Electrochemical Detection of Nitrite Based on Iron Oxide–Reduced Graphene Oxide Nanocomposite Modified Electrode in Real Water

Ammar Al‐Hamry, Olfa Kanoun, Marcos A. Gross, Mounir Ben Ali et al.
3 citations
Advanced Sensor Research
Electrochemical sensors and biosensors
2.19
article

Electrochemical Detection of Nitrite Based on Iron Oxide–Reduced Graphene Oxide Nanocomposite Modified Electrode in Real Water

Ammar Al‐Hamry, Olfa Kanoun, Marcos A. Gross, Mounir Ben Ali, Zina Fredj, Leonardo G. Paterno, Amira Ghezal, Baljit Singh
article en
3 citations

Abstract

Abstract This work presents a screen‐printed carbon electrode (SPCE) modified with iron oxide nanoparticles‐reduced graphene oxide (ION‐rGO) nanocomposite for the rapid and highly sensitive determination of nitrite in real water samples. The presence of both ION and rGO on the electrode surface enhances the sensing performance compared to the unmodified SPCE by reducing the charge transfer at the electrode/electrolyte interface. Under optimized conditions, it is demonstrated that the charge‐transfer resistance determined from electrochemical impedance spectroscopy (EIS) scales linearly with the logarithm of nitrite concentration. Due to its unique structure, the proposed nitrite sensor displays improved performance compared to our previous work, showing a linear range of 0.1 nM to 10 µM, a correlation coefficient of 0.9936, and an ultralow LOD of 17.3 pM. The results indicate that the modified electrodes possessed remarkable catalytic activity toward nitrite oxidation. Additionally, the ION‐rGO nanocomposite‐based sensor exhibited high sensitivity as well as good stability and reproducibility performance. The research findings demonstrate that the proposed sensor is a potential candidate for nitrite detection in real water sample analysis, which would be helpful in monitoring and protecting our global water resources.

Advanced Sensor ResearchVol. 4(8)
Universidade de Brasília (BR), Chemnitz University of Technology (DE), Technological University Dublin (IE), Hôpital Sahloul (TN), University of Sousse (TN)
MultiCare Institute for Research and Innovation, Deutscher Akademischer Austauschdienst, Sächsische Aufbaubank, European Social Fund
Openalex Percentile: Top 11%
Electrochemical sensors and biosensors
2.19
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.