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Biomimetic Electrochemical Chip Integrated with Closed-Loop AI for Dynamic Dopamine Decoding and Neuromodulation.

Xinran Li1, Xiao Wu1, Qiyan Wang1

  • 1College of Mechanics and Safety Engineering, Zhengzhou University, Henan 450001, China.

ACS Sensors
|February 27, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed an AI-powered bioelectronic chip with intestine-inspired electrodes for real-time dopamine monitoring and modulation. This innovation enhances brain chemistry diagnostics and enables adaptive bioelectronic interfaces.

Keywords:
biomimetic sensorsclosed-loop AI analyticsdopamine monitoringelectrochemicalwrinkled architecture

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Area of Science:

  • Bioelectronics
  • Neuroscience
  • Materials Science

Background:

  • Bioelectronic systems and artificial intelligence (AI) are revolutionizing neurochemical diagnostics.
  • Real-time decoding of brain chemistry is crucial for understanding neurological function and disease.

Purpose of the Study:

  • To present an AI-driven biomimetic electrochemical chip for in vivo dopamine monitoring and neuromodulation.
  • To investigate the impact of intestine-inspired wrinkled molybdenum disulfide (MoS2) electrodes on dopamine detection sensitivity and efficiency.

Main Methods:

  • Fabrication of a biomimetic electrochemical chip utilizing wrinkled MoS2 electrodes inspired by intestinal structures.
  • Integration of an AI-assisted decision module for real-time analysis and adaptive modulation of neurochemical signals.
  • In vivo studies in rat models to assess dopamine monitoring and closed-loop neuromodulation capabilities.

Main Results:

  • The wrinkled MoS2 electrode design significantly enhanced dopamine sensitivity by 23-fold compared to planar electrodes.
  • Achieved low detection limits for dopamine as 37 nM in small biofluid volumes (4.1 μL).
  • Demonstrated autonomous regulation of endogenous dopamine transients in rats via closed-loop neuromodulation.

Conclusions:

  • Bioinspired electrode design, combined with AI-driven signal interpretation, offers a scalable approach for advanced neurodiagnostics.
  • The developed platform establishes a new pathway for intelligent, adaptive bioelectronic interfaces.
  • This technology holds promise for next-generation brain-computer interfaces and therapeutic interventions.