Cao Zelin, Xiang Linbiao, Sun Bai, Gao Kaikai, Yu Jiawei, Zhou Guangdong, Duan Xuegang, Yan Wentao, Lin Fulai, Li Zhuoqun, Wang Ruixin, Lv Yi, Ren Fenggang, Yao Yingmin, Lu Qiang
National Local Joint Engineering Research Center for Precision Surgery & Regenerative Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China.
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China.
Mater Today Bio. 2024 May 20;26:101096. doi: 10.1016/j.mtbio.2024.101096. eCollection 2024 Jun.
Conventional implantable electronics based on von Neumann architectures encounter significant limitations in computing and processing vast biological information due to computational bottlenecks. The memristor with integrated memory-computing and low power consumption offer a promising solution to overcome the computational bottleneck and Moore's law limitations of traditional silicon-based implantable devices, making them the most promising candidates for next-generation implantable devices. In this work, a highly stable memristor with an Ag/BaTiO/MnO/FTO structure was fabricated, demonstrating retention characteristics exceeding 1200 cycles and endurance above 1000 s. The device successfully exhibited three-stage responses to biological signals after implantation in SD (Sprague-Dawley) rats. Importantly, the memristor perform remarkable reversibility, maintaining over 100 cycles of stable repetition even after extraction from the rat. This study provides a new perspective on the biomedical application of memristors, expanding the potential of implantable memristive devices in intelligent medical fields such as health monitoring and auxiliary diagnostics.
基于冯·诺依曼架构的传统植入式电子设备由于计算瓶颈,在处理大量生物信息时面临重大限制。具有集成存储计算和低功耗特性的忆阻器为克服传统硅基植入式设备的计算瓶颈和摩尔定律限制提供了一个有前景的解决方案,使其成为下一代植入式设备最有潜力的候选者。在这项工作中,制备了一种具有Ag/BaTiO/MnO/FTO结构的高稳定性忆阻器,其保持特性超过1200个循环,耐久性超过1000秒。该器件在植入SD(斯普拉格-道利)大鼠后成功表现出对生物信号的三阶段响应。重要的是,该忆阻器具有显著的可逆性,即使从大鼠体内取出后仍能保持超过100个循环的稳定重复。这项研究为忆阻器的生物医学应用提供了新的视角,拓展了植入式忆阻设备在健康监测和辅助诊断等智能医疗领域的潜力。