Issue 33, 2024

Manganese tetraphenylporphyrin and carbon nanocoil interface-based electrochemical sensing of tyrosine

Abstract

Tyrosine is one of the essential metabolites present in the human body for nutritional maintenance and normal physiological functioning. Its concentration in the body is crucial in predicting various hereditary, emotional, and physiological disorders. Therefore, quantitative monitoring of tyrosine in clinical samples is indispensable. We state the use of carbon nanocoils/manganese tetraphenylporphyrin convened glassy carbon electrode (CNC/MnTPP/GC) for the streamlined electrochemical sensing of tyrosine. Cutting-edge analytical techniques were employed to perform a comprehensive physicochemical analysis of the synthesized materials. To investigate the electrochemical properties, various techniques such as cyclic voltammetry (CV), differential pulse voltammetry (DPV), electrochemical impedance spectroscopy, and chronocoulometry were employed. CNC/MnTPP/GC displayed an optimal response at pH 5 and exhibited remarkable linearity within the concentration range of 0.05 to 100 μM for tyrosine. Using DPV, it demonstrated a low limit of detection (21 nM ± 1.17) and a sensitivity of 0.12 μA μM−1 cm−2. CNC/MnTPP/GC displayed excellent performance in terms of repeatability, reproducibility, and stability for up to 30 days, making it suitable for real-time analysis, particularly in the analysis of tyrosine in blood serum. Notably, CNC/MnTPP/GC showcased a superior detection limit compared to previously reported methods.

Graphical abstract: Manganese tetraphenylporphyrin and carbon nanocoil interface-based electrochemical sensing of tyrosine

Supplementary files

Article information

Article type
Paper
Submitted
17 Mar 2024
Accepted
12 Jul 2024
First published
01 Aug 2024
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2024,14, 24105-24114

Manganese tetraphenylporphyrin and carbon nanocoil interface-based electrochemical sensing of tyrosine

S. A. Batool Bukhari, A. Aziz, H. Nasir, S. Ullah, T. Akhtar, S. Iram, E. Sitara, S. Mushtaq and S. A. Moiz, RSC Adv., 2024, 14, 24105 DOI: 10.1039/D4RA02048K

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