This research demonstrates an AI-integrated electrochemical chip that enhances dopamine detection in rats, suggesting potential for future neurodiagnostic tools.
Bioelectronic systems integrated with artificial intelligence (AI) are transforming neurochemical diagnostics, enabling intelligent, real-time decoding of brain chemistry. Here, we present an AI-driven biomimetic electrochemical chip with intestine-inspired wrinkled MoS₂ electrodes, enabling dynamic in vivo dopamine monitoring and neuromodulation. This wrinkled structural design promotes efficient molecular capture and alleviates laminar flow limitations, achieving a 23-fold enhancement in dopamine sensitivity over planar electrodes, with detection limits as low as 37 nM in 4.1 μL of biofluid. Moreover, coupled with an AI-assisted decision module, the platform translates neurochemical fluctuations into adaptive modulation, enabling real-time closed-loop neuromodulation. In vivo studies in rats demonstrate autonomous regulation of endogenous dopamine transients, directly linking electrode architecture to functional neural outcomes. This work highlights how bioinspired electrode design, integrated with intelligent signal interpretation, establishes a scalable pathway toward next-generation neurodiagnostics and adaptive bioelectronic interfaces.
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Li et al. (2026) studied this question.
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