Green Synthesis of ZIF-8 Combined with Ruthenium Nanoparticles for Enhanced Electrochemical Detection of Dopamine

A green synthesis approach was employed to develop ZIF-8, a Metal-Organic Framework (MOF) with high porosity and stability. To enhance its functionality for sensor applications, ZIF-8 was doped with ruthenium (Ru) nanoparticles, yielding Ru@ZIF-8. The structural and morphological characteristics of both ZIF-8 and Ru@ZIF-8 were systematically evaluated using X-ray diffraction (XRD), scanning electron microscopy (SEM), Brunauer–Emmett–Teller (BET) surface area analysis, and infrared (IR) spectroscopy. Electrochemical studies revealed the excellent sensitivity and selectivity of Ru@ZIF-8 compared to pristine ZIF-8. Specifically, the sensitivity of the ZIF-8-based sensor was evaluated at 0.0035 μA·μM −1 , with a limit of detection (LOD) of 2 μM, whereas Ru@ZIF-8 exhibited significantly enhanced sensitivity of 0.141 μA·μM −1 and a detection limit of 0.05 μM. Both materials were further validated in real sample analyses using serum, demonstrating their applicability in complex biological matrices. The novelty of our work introduces a novel Ru@ZIF-8 sensor for dopamine detection, combining Ru nanoparticles and the ZIF-8 matrix to achieve superior performance. The sensor demonstrates exceptional sensitivity, a lower detection limit, a broader linear range and high selectivity against common biological interferences, surpassing conventional systems. This work underscores an environmentally friendly strategy for synthesizing advanced composites based on MOFs with enhanced detection capabilities for real-world applications.

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Publication Details

Journal
Journal of The Electrochemical Society
Published
2025-02-01
DOI
https://doi.org/10.1149/1945-7111/adb457
Citations
12
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
8.77
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article

Green Synthesis of ZIF-8 Combined with Ruthenium Nanoparticles for Enhanced Electrochemical Detection of Dopamine

Houcine Barhoumi, Umit B. Demirci, Hamza Kahri, Carlos A. Castilla-Martinez et al.
12 citations
Journal of The Electrochemical Society
Electrochemical sensors and biosensors
8.77
article

Green Synthesis of ZIF-8 Combined with Ruthenium Nanoparticles for Enhanced Electrochemical Detection of Dopamine

Houcine Barhoumi, Umit B. Demirci, Hamza Kahri, Carlos A. Castilla-Martinez, Sondes Bourigua, Jassem Wannassi, Youssra Moumen
article en
12 citations

Abstract

A green synthesis approach was employed to develop ZIF-8, a Metal-Organic Framework (MOF) with high porosity and stability. To enhance its functionality for sensor applications, ZIF-8 was doped with ruthenium (Ru) nanoparticles, yielding Ru@ZIF-8. The structural and morphological characteristics of both ZIF-8 and Ru@ZIF-8 were systematically evaluated using X-ray diffraction (XRD), scanning electron microscopy (SEM), Brunauer–Emmett–Teller (BET) surface area analysis, and infrared (IR) spectroscopy. Electrochemical studies revealed the excellent sensitivity and selectivity of Ru@ZIF-8 compared to pristine ZIF-8. Specifically, the sensitivity of the ZIF-8-based sensor was evaluated at 0.0035 μA·μM −1 , with a limit of detection (LOD) of 2 μM, whereas Ru@ZIF-8 exhibited significantly enhanced sensitivity of 0.141 μA·μM −1 and a detection limit of 0.05 μM. Both materials were further validated in real sample analyses using serum, demonstrating their applicability in complex biological matrices. The novelty of our work introduces a novel Ru@ZIF-8 sensor for dopamine detection, combining Ru nanoparticles and the ZIF-8 matrix to achieve superior performance. The sensor demonstrates exceptional sensitivity, a lower detection limit, a broader linear range and high selectivity against common biological interferences, surpassing conventional systems. This work underscores an environmentally friendly strategy for synthesizing advanced composites based on MOFs with enhanced detection capabilities for real-world applications.

Journal of The Electrochemical SocietyVol. 172(2)
Openalex Percentile: Top 2%
Electrochemical sensors and biosensors
8.77
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