Silk Fibroin-Based Biomemristors for Bionic Artificial Intelligence Robot Applications

丝素 仿生学 机器人 材料科学 纳米技术 人工肌肉 仿生学 丝绸 人工智能 计算机科学 工程类 复合材料 执行机构
作者
Chuan Yang,Hongyan Wang,Kun Wang,Zelin Cao,Fenggang Ren,Guangdong Zhou,Yuanzheng Chen,Bai Sun
出处
期刊:ACS Nano [American Chemical Society]
标识
DOI:10.1021/acsnano.5c02480
摘要

In the emerging fields of flexible electronics and bioelectronics, protein-based materials have attracted widespread attention due to their biocompatibility, biodegradability, and processability. Among these materials, silk fibroin (SF), a protein derived from natural silk, has demonstrated significant potential in biomedical applications such as medical sensing and bone tissue engineering, as well as in the development of advanced biosensors. This is primarily due to its highly ordered β-sheet structure, mechanical properties, and processability. Furthermore, SF-based memristors provided a material choice for producing flexible wearable, and even implantable bioelectronic devices, which are expected to advance intelligent health monitoring, electronic skin (e-skin), brain-computer interface (BCI), and other frontier bioelectronic technologies. This review systematically summarizes the latest research progress in SF-based memristors concerning structural design, performance optimization, device integration, and application prospects, particularly highlighting their potential applications in neuromorphic computing and memristive sensors. Concurrently, we objectively analyzed the challenges currently faced by SF-based memristors and prospectively discussed their future development trends. This review provides a theoretical foundation and technological roadmap for biomaterials-based memristor devices, aiming to realize applications in flexible electronics and bioelectronics.
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