Detection of L-Tyrosine by electrochemical method based on binary mixed CdO/SnO2 nanoparticles

[Display omitted] •CdO/SnO2 nanoparticles prepared by facile wet-chemical method.•Highly sensitive in-situ L-tyrosine sensor by reliable electrochemical method.•L-tyrosine-sensor exhibits the lower detection limit within short response time.•Practically validated the real biological serum samples.•E...

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Veröffentlicht in:Measurement : journal of the International Measurement Confederation 2020-10, Vol.163, p.107990, Article 107990
Hauptverfasser: Alam, M.M., Uddin, M.T., Asiri, Abdullah M., Rahman, Mohammed M., Islam, M.A.
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Sprache:eng
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Zusammenfassung:[Display omitted] •CdO/SnO2 nanoparticles prepared by facile wet-chemical method.•Highly sensitive in-situ L-tyrosine sensor by reliable electrochemical method.•L-tyrosine-sensor exhibits the lower detection limit within short response time.•Practically validated the real biological serum samples.•Effective L-tyrosine -sensor for health care and biomedical fields. Here, the nanoparticles (NPs) of CdO/SnO2 were prepared by co-precipitation method in alkaline phase at low temperature. The characterization of CdO/SnO2 NPs were analyzed by X-ray photoelectron spectroscopy (XPS), field emission scanning electron microscope (FESEM), X-ray diffraction (XRD) and energy-dispersive X-ray spectroscopy (EDS) analysis. To fabricate the sensor, glassy carbon electrode (GCE) was coated by CdO/SnO2 NPs with 5% nafion suspension. The resulted sensor was applied to detect L-Tyrosine (L-Tyr) in buffer phase. A linear relation current versus concentration known as calibration curve was made. The sensor sensitivity (11.848 µA µM−1 cm−2) is calculated from the slope of calibration curve. Recognizing the maximum linear region in calibration curve (regression coefficient R2 = 0.99), the linear dynamic range (0.1 nM–0.01 mM) is used. Finally, the lower limit of detection (97.93 ± 4.89 pM) is estimated by applying the signal to noise ratio of 3 from the calibration curve. During the sensing performances, it was found as reliable, reproducible and long-term stable sensor and validated to detect the real biological samples by electrochemical approach in room conditions.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2020.107990