<p>A key neurotransmitter in the central nervous system, dopamine (DA) controls reward circuits, motor control, and cognition. Neurological conditions like depression, schizophrenia, and Parkinson’s disease are associated with abnormal DA levels. Dopamine may be detected quickly, sensitively, selectively, and affordably via electrochemical sensors. Carbon paste electrodes (CPEs) modified with nanomaterials have attracted increasing interest in electrochemical platforms because of their large surface area, improved electron-transfer kinetics, customizable surface chemistry, and low production cost. The design methodologies, functional materials (carbon nanotubes, graphene derivatives, metal nanoparticles, conducting polymers), analytical performance benchmarks, and selectivity mechanisms. In accordance with the reviewed findings, conducting polymer-nanomaterial hybrid composites are currently the most promising modifier class for practical dopamine monitoring because they provide a superior combination of sub-nanomolar detection limits, outstanding antifouling resistance, and long-term stability. MXene-based composites combined with AI-assisted signal processing are emphasized as the top priority for next-generation sensor development, and major obstacles such as fabrication repeatability, in vivo biocompatibility, and the lack of clinical validation are noted.</p>

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Recent Developments in Brain Dopamine Detection Using Nanomaterial-Modified Carbon Paste Electrodes

  • Shashanka Rajendrachari,
  • Rajamouli Boddula,
  • Vijay Tambrallimath,
  • Varun Donnakatte Neelalochana,
  • Rakshitha Gattavadipura Shivaraju,
  • Hareesha Nagarajappa

摘要

A key neurotransmitter in the central nervous system, dopamine (DA) controls reward circuits, motor control, and cognition. Neurological conditions like depression, schizophrenia, and Parkinson’s disease are associated with abnormal DA levels. Dopamine may be detected quickly, sensitively, selectively, and affordably via electrochemical sensors. Carbon paste electrodes (CPEs) modified with nanomaterials have attracted increasing interest in electrochemical platforms because of their large surface area, improved electron-transfer kinetics, customizable surface chemistry, and low production cost. The design methodologies, functional materials (carbon nanotubes, graphene derivatives, metal nanoparticles, conducting polymers), analytical performance benchmarks, and selectivity mechanisms. In accordance with the reviewed findings, conducting polymer-nanomaterial hybrid composites are currently the most promising modifier class for practical dopamine monitoring because they provide a superior combination of sub-nanomolar detection limits, outstanding antifouling resistance, and long-term stability. MXene-based composites combined with AI-assisted signal processing are emphasized as the top priority for next-generation sensor development, and major obstacles such as fabrication repeatability, in vivo biocompatibility, and the lack of clinical validation are noted.