Alkaline liquid-derived Na x Ti11.5MoVO x /C-40 material with controlled electron transfer rate for sensitive electrochemical detection of dopamine

The neurotransmitter dopamine (DA) is associated with many physiological and pathological processes, so the importance of low detection limits and high sensitivity analysis cannot be overstated, especially for early disease detection. Here, 2 M NaOH aqueous solution is used to precipitate metal ions...

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Veröffentlicht in:Talanta (Oxford) 2023-12, Vol.270, p.125540
Hauptverfasser: Liu, Wenwen, Zhao, Zhenlu, Hou, Shuping, Lu, Yizhong
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Sprache:eng
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Zusammenfassung:The neurotransmitter dopamine (DA) is associated with many physiological and pathological processes, so the importance of low detection limits and high sensitivity analysis cannot be overstated, especially for early disease detection. Here, 2 M NaOH aqueous solution is used to precipitate metal ions in an ethanol solution containing carbon black (CB), and then nanocomposite catalysts (Na Ti11.5MoVO /C-40 (40 denoted as 40 mg CB)) were obtained by calcining the precipitation. When used for DA detection, Na VO acts as the main active site for electrochemical oxidation of DA and Na Ti11.5MoO plays a role in facilitating the binding of DA to the active site and stabilizing the active site. The Na Ti11.5MoVO /C-40 electrochemical biosensor has a limit of detection (LOD) of 0.003 μM with a linear range of 0.005-51.665 μM for DA. This sensor can be used to sensitively identify the concentration of DA in human blood and urine. Catalysts containing varying amounts of CB exhibit diverse electron transfer rates, and surprisingly, we found that the appropriate electron transfer rate is optimal for the detection of low concentrations of DA. Because the performance of the electrochemical biosensors is affected by both the activity of the catalysts and the accuracy of the electrochemical testing instrumentation. To better explain this phenomenon, we propose the concept of resolution (Rn) and present the formula to derive it, offering a new approach to evaluating the performance of electrochemical biosensors.
ISSN:1873-3573
DOI:10.1016/j.talanta.2023.125540