Abstract
Selective and sensitive detection of dopamine (DA) is imperative for the diagnosis and management of a wide range of neurological disorders, given its vital role as a critical neurotransmitter in the central nervous system. In this study, a series of non-enzymatic electrochemical voltammetric sensors based on polyaniline (PANI), PANI:Silicene, PANI:Coronene, and PANI:Rubrene nanocomposites (NCs) were developed for the detection of dopamine. The results showed that the PANI:Silicene NCs-based sensor exhibited a highly sensitive response towards DOP, with a sensitivity of 197.84 μAμM−1 cm−2 and the lowest limit of detection (LOD) of 0.0385 μM. The incorporation of silicene significantly enhanced the sensor’s performance in terms of both sensitivity and LOD. These findings demonstrate the potential of PANI-Silicene NC-based sensors for highly sensitive and specific detection of DOP.
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The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
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The authors gratefully acknowledge the Scientific and Technological Research Council of Turkey (TUBITAK) due to the financial support for the Project 122N962.
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GB: Investigation, Methodology, Writing-original draf. NT: Investigation, Methodology, Formal analysis, Writing-original draft, Writing—review & editing, Visualization, Funding acquisition, Supervision. BK: Investigation, Methodology, Formal analysis, Writing-original draft. SK: Investigation, Methodology, Formal analysis, Writing-original draft, Writing—review & editing, GG: Investigation, Methodology, Formal analysis, Writing-original draft, Writing—review & editing. BB: Methodology, Formal analysis, Writing-original draft. DEY: Investigation, Methodology, Formal analysis, Writing-original draft, Writing—review & editing, Visualization, Funding acquisition, Supervision.
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Baytemir, G., Taşaltın, N., Karaca, B. et al. PANI: silicene nanocomposites based non-enzymatic electrochemical voltammetric sensor for dopamine detection. J Mater Sci: Mater Electron 34, 1374 (2023). https://doi.org/10.1007/s10854-023-10809-9
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DOI: https://doi.org/10.1007/s10854-023-10809-9