TY - JOUR
T1 - Silk Fibroin-Based Biomemristors for Bionic Artificial Intelligence Robot Applications
AU - Yang, Chuan
AU - Wang, Hongyan
AU - Wang, Kun
AU - Cao, Zelin
AU - Ren, Fenggang
AU - Zhou, Guangdong
AU - Chen, Yuanzheng
AU - Sun, Bai
N1 - Publisher Copyright:
© 2025 American Chemical Society.
PY - 2025/5/13
Y1 - 2025/5/13
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - artificial neural network
KW - biomemristor
KW - flexible electronics
KW - natural biomaterials
KW - neuromorphic computing
KW - resistive switching
KW - silk fibroin
UR - https://www.scopus.com/pages/publications/105003745783
U2 - 10.1021/acsnano.5c02480
DO - 10.1021/acsnano.5c02480
M3 - 文献综述
C2 - 40296528
AN - SCOPUS:105003745783
SN - 1936-0851
VL - 19
SP - 17173
EP - 17198
JO - ACS Nano
JF - ACS Nano
IS - 18
ER -