Voltammetric determination of sumatriptan in the presence of naproxen using a modified screen printed electrode
Hazim Saad Jabbar Al-Maliki, Sudad Jasim Mohammed, Adil Turki Al-Musawi, Aliaa Saadoon Abdul- Razaq Al-Faraji, Mazin Hadi Kzar, Abdul Amir H. Kadhum, Huda Hadi Nameh, Raed Muslim Mhaibes
Abstract
Background and purpose: Sumatriptan is used to alleviate symptoms of migraine headaches, particularly during acute attacks. Naproxen is a medication that provides relief from pain, inflammation, and fever. Therefore, determination of them is important. Experimental approach: In the present work, CoMoO4 nanos¬heets were synthesized in a basic and easy way. A screen-printed graphite electrode's surface was altered using the as-prepared CoMoO4 nanosheets' high electroactivity to create a CoMoO4 nanosheets-modified screen-printed electrode (CoMoO4 NSs-SPE), which was then employed for sumatriptan's electrochemical oxidation. Due to the superior electron transfer characteristics and catalytic activity of the produced CoMoO4 nanosheets, the results demonstrated a notable improvement in sumatriptan's current responses. This study examined the electrochemical behavior of sumatriptan on the CoMoO4 NSs-SPE utilizing a number of methods, including as chronoamperometry, cyclic voltammetry, and differential pulse voltammetry (DPV). Key results: With a high sensitivity of 0.0718 μA/μM and a good correlation value of 0.9998, a linear calibration curve was obtained over a broad concentration range of 0.02-600.0 μM, suggesting a strong linear connection between the concentration and the response. Based on a signal-to-noise ratio of 3, the limit of detection for sumatriptan was determined to be 0.01 μM, suggesting a high degree of sensitivity for the detection technique. DPV results showed that the CoMoO4 nanosheets-modified screen-printed electrode (CoMoO4 NSs-SPE) could detect naproxen and sumatriptan at the same time. Conclusion: The created sensor's usefulness and efficacy in real-world applications were demonstrated when it was successfully used to identify the target analytes in actual samples.