血糖性
胰岛素释放
胰岛素
计算机科学
生物传感器
连续血糖监测
多路复用
材料科学
生物医学工程
传输(电信)
药物输送
纳米技术
自愈水凝胶
计算机硬件
嵌入式系统
血糖自我监测
控制释放
信号(编程语言)
作者
Yi‐Ming Wei,Wanying Chen,Yukun Ma,Yixin Zhao,Zhen Dai,Haoyu Liu,Shanshan Zhang,Yue Zhou,Xuesong Ye,Bo Liang
标识
DOI:10.1038/s41378-025-01089-w
摘要
Real-time glucose monitoring and adaptive insulin administration are critical for effective diabetes management. Minimally invasive microneedle-based glucose monitoring sensors offer a promising approach but suffer from signal drift due to tissue reactions, inconsistent implantation, or mechanical damage to their sensitive layers during insertion. Moreover, microneedle-based insulin delivery faces limitations in achieving accurate and quantitatively controlled release due to its passive response mechanism. Here, we report a minimally invasive platform integrating a multiplexed glucose biosensor array with on-demand insulin delivery for precise glycemic control. To prevent the impact of potential individual microneedle failure post-insertion, the system incorporates a redundant sensing array comprising four individually addressable electrodes functionalized with glucose oxidase, providing robust and reliable glucose measurements. Simultaneously, an addressable drug-release array of eight microneedles loaded with insulin within redox-responsive hydrogels enables localized electrochemical triggering for spatiotemporally controlled insulin release. These components are coordinated via a wireless interface leveraging real-time multi-channel ADC data processing and Bluetooth transmission to dynamically activate insulin microneedles based on algorithmic glycemic thresholds. The platform's redundant sensing design enhances system reliability, maintaining accurate glucose monitoring even in case of individual sensor failure, while its on-demand insulin release enables real-time glycemic regulation. Ultimately, in vivo experiments in rats were conducted to verify the system's efficacy. By synergizing multiplexed biosensing, fault tolerance, and programmable drug delivery, this platform addresses critical limitations of current glucose monitoring systems and establishes a demonstration prototype for next-generation closed-loop bioelectronics.
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