生物模拟电化学芯片与闭环人工智能集成,用于动态多巴胺解码和神经调节
Xinran Li1, Xiao Wu1, Qiyan Wang1
1College of Mechanics and Safety Engineering, Zhengzhou University, Henan 450001, China.
ACS sensors
|February 27, 2026
概括
研究人员开发了一个由人工智能驱动的生物电子芯片,带有肠道启发的电极,用于实时多巴胺监测和调制. 这项创新增强了大脑化学诊断,并使适应性生物电子接口成为可能.
科学领域:
- 生物电子学 生物电子学
- 神经科学是一个神经科学.
- 材料科学 材料科学 材料科学
背景情况:
- 生物电子系统和人工智能 (AI) 正在彻底改变神经化学诊断.
- 大脑化学的实时解码对于理解神经功能和疾病至关重要.
研究的目的:
- 提出一种人工智能驱动的仿生电化学芯片,用于体内多巴胺监测和神经调节.
- 为了研究肠道激发的纹二硫化物 (MoS2) 电极对多巴胺检测灵敏度和效率的影响.
主要方法:
- 生物仿真电化学芯片的制造,使用纹的MoS2电极,以肠道结构为灵感.
- 集成人工智能辅助决策模块,用于实时分析和神经化学信号的自适应调制.
- 在大鼠模型中的体内研究,以评估多巴胺监测和闭环神经调节能力.
主要成果:
- 与平面电极相比,纹的MoS2电极设计显著提高了多巴胺敏感度的23倍.
- 在小型生物流体体积 (4.1μL) 中达到多巴胺的低检测极限为37nM.
- 通过闭环神经调节在老鼠中证明了内源性多巴胺过渡物的自主调节.
结论:
- 生物启发的电极设计,结合人工智能驱动的信号解释,为先进的神经诊断提供了一个可扩展的方法.
- 开发的平台为智能,自适应生物电子接口建立了一个新的途径.
- 这项技术对下一代大脑计算机接口和治疗干预具有前景.
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