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DOI 10.2174/1386207323666200521123657

Медицинская библиотека · Combinatorial chemistry & high throughput screening · 2020

Preparation of A Magnetic Nanosensor Based on Cobalt Ferrite Nanoparticles for The Electrochemical Determination of Methyldopa in The Presence of Uric Acid.

Najafi Khadijeh, Asadpour-Zeynali Karim, Mollarasouli Fariba

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Аннотация

AIM AND

OBJECTIVE

Methyldopa is one of the medications that is used for the treatment of hypertension. Therefore, the determination of methyldopa in the presence of other biological components is essential. In this work, a promising electrochemical sensor based on CoFe2O4 magnetic nanoparticles modified glassy carbon electrode (CoFe2O4/GCE) was developed for electrochemical determination of methyldopa in the presence of uric acid. Cobalt ferrite nanoparticles were synthesized via chemical method.

MATERIALS AND

METHODS

Characterizing the CoFe2O4 was investigated by field emission scanning electron microscopy (FESEM), X-ray diffraction (XRD), energy dispersive X-ray spectroscopy (EDX), transmission electron microscope (TEM), and cyclic voltammetry techniques.

RESULTS

Under the optimal experimental conditions, the current response of the electrochemical sensor obtained with differential pulse voltammetry was increased linearly in the concentration range from 1.45 to 15.1 μmol L-1 with the detection limit of 1.07 μmol L-1 for methyldopa. Also, by using the proposed method, methyldopa and uric acid could be analyzed in a mixture independently. The difference in peak potential for analytes is about 150 mV.

CONCLUSION

The present sensor was successfully applied for the determination of methyldopa in the presence of uric acid in biological samples and the pharmaceutical samples with satisfactory results.

Для цитирования: Najafi Khadijeh, Asadpour-Zeynali Karim, Mollarasouli Fariba. Preparation of A Magnetic Nanosensor Based on Cobalt Ferrite Nanoparticles for The Electrochemical Determination of Methyldopa in The Presence of Uric Acid.. Combinatorial chemistry & high throughput screening. 2020. DOI: 10.2174/1386207323666200521123657.

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