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

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.