Selective determination of nitrite in water and food samples using zirconium oxide (ZrO2)@MWCNTs modified screen printed electrode

Nitrite ions are being used in different forms as food preservatives acting as flavor enhancers or coloring agents for food products. However, continuous ingestion of nitrite may have severe health implications due to its mutagenic and carcinogenic effects. Thus, this study constructed an electrochemical assay using disposable nano-sensor chip ZrO2@MWCNTs screen printed electrodes (SPE) for the rapid, selective, and sensitive determination of nitrite in food and water samples. As a sensing platform, the use of nanomaterials, including metal oxide nanostructures and carbon nanotubes, exhibited a superior electrocatalytic activity and conductivity. Morphological, structural, and electrochemical analyses were performed using electron microscopy (SEM and TEM), Fourier-transform infrared (FTIR) spectroscopy, electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV) and chronoamperometry (CA). Accordingly, a wide dynamic linear range (5.0 & mu;M to 100 & mu;M) was obtained with a limit of detection of 0.94 & mu;M by the chronoamperometric technique. In addition, the sensor's selectivity was tested when several non-target species were exposed to the sensor chips while no obvious electrochemical signals were generated when the nitrite ions were not present. Eventually, real food and water sample analysis was conducted, and a high recovery was achieved.

Automated summary

An electrochemical assay using disposable nano-sensor chip ZrO2@MWCNTs screen printed electrodes (SPE) was constructed for the rapid, selective, and sensitive determination of nitrite in food and water samples. The use of nanomaterials as a sensing platform exhibited superior electrocatalytic activity and conductivity. Morphological, structural, and electrochemical analyses were performed to study the performance of the sensor. The assay showed a wide linear range and high selectivity, and achieved a high recovery rate in real sample analysis.