Akademik Veri Yönetim Sistemi
Journal of Electroanalytical Chemistry, cilt.996, 2025 (SCI-Expanded, Scopus)
The detection of arsenic (As3+) ions in consumables such as fruit juices is of critical importance due to severe public health risks. Arsenic contamination commonly originates from polluted soil and groundwater, entering the food chain and posing chronic toxicity to humans and animals. Leaching from polluted soil and groundwater, it enters the food chain hence there is need for cost-effective, time-sensitive methods to detect arsenic in food samples. In this work an electrochemical sensor was developed using graphene nanoplatelets (GNP) decorated zirconium and nitrogen doped graphitic carbon nitride (Zr-N-GCN) nanocomposite for detection of As3+ ions in tap water and juice samples. The XRD data reveals that pure GCN possesses plate-like layers that are stacked onto one another. The addition of Zr[sbnd]N induces the formation of crystalline zirconium phases that aggregate, shown by distinct reflections and diminished GCN characteristics. The FTIR observations indicate that the C[sbnd]N frameworks in GCN remain robust and that Zr[sbnd]O bonds are developing in Zr-N-GCN. These alterations to the structure suggest that the Zr-N-GCN material was created successfully. This might make your Zr-N-GCN/GNP/GCE electrode better at detecting As3+ by improving its electrochemical properties. The sensitivity of the sensor was evaluated using differential pulse anodic stripping voltammetry (DPASV) with LOD value of 0.31 nM and a sensitivity of 0.605 μA/nM and a linear detection range from 8 to 40 nM (R2 = 0.99). The sensor achieved reproducible As3+ recovery rates of 93–96 % in real juice and water samples with a response time of 300 s, demonstrating its potential for cost-effective, rapid monitoring of arsenic contamination in beverages and water.