TY - JOUR
T1 - Smart Vascular Grafts with Integrated Flow Biosensors for Hemodynamic Real-Time Monitoring and Vascular Healthcare
AU - Ma, Zhiqiang
AU - Zhang, Jing
AU - Zou, Shangjie
AU - Huang, Ke
AU - Li, Wei
AU - Elhousseini Hilal, Mohamed
AU - Zhu, Mingze
AU - Fu, Yatian
AU - Khoo, Bee Luan
PY - 2025/3/4
Y1 - 2025/3/4
N2 - Real-time monitoring of hemodynamics is crucial for diagnosing disorders within implanted vascular grafts and facilitating timely treatment. Integrating vascular grafts with advanced flexible electronics offers a promising approach to developing smart vascular grafts (SVGs) capable of continuous hemodynamic monitoring. However, most existing SVG devices encounter significant challenges in practical applications, particularly regarding biomechanical compatibility and the effective evaluation of vascular status. Here, we present a state-of-the-art SVG device seamlessly integrated with flow biosensors constructed by encapsulating patterned porous graphene within biocompatible polymers. The innovative use of porous graphene imparts the SVG with exceptional mechanical sensing performance, featuring a low strain detection limit of 0.0034% and dynamic stability exceeding 32,400 cycles, thus enabling precise hemodynamic perception. This high sensitivity allows the SVG to accurately diagnose vascular disorders, such as blockage degree and position, by collecting hemodynamic data from an artificial artery model. In vitro thrombi (blood clot) diagnostics, treatment simulation experiments, and in vivo tests using a rabbit model strongly validate the SVG’s outstanding and reliable performance in vascular healthcare. We have also developed a stand-alone and wireless system, demonstrating its capability for remote monitoring and managing vascular health. Our pioneering SVG system showcases great potential in vascular healthcare for precise hemodynamic monitoring of disorders, timely diagnostics, and even drug screening. © 2025 American Chemical Society.
AB - Real-time monitoring of hemodynamics is crucial for diagnosing disorders within implanted vascular grafts and facilitating timely treatment. Integrating vascular grafts with advanced flexible electronics offers a promising approach to developing smart vascular grafts (SVGs) capable of continuous hemodynamic monitoring. However, most existing SVG devices encounter significant challenges in practical applications, particularly regarding biomechanical compatibility and the effective evaluation of vascular status. Here, we present a state-of-the-art SVG device seamlessly integrated with flow biosensors constructed by encapsulating patterned porous graphene within biocompatible polymers. The innovative use of porous graphene imparts the SVG with exceptional mechanical sensing performance, featuring a low strain detection limit of 0.0034% and dynamic stability exceeding 32,400 cycles, thus enabling precise hemodynamic perception. This high sensitivity allows the SVG to accurately diagnose vascular disorders, such as blockage degree and position, by collecting hemodynamic data from an artificial artery model. In vitro thrombi (blood clot) diagnostics, treatment simulation experiments, and in vivo tests using a rabbit model strongly validate the SVG’s outstanding and reliable performance in vascular healthcare. We have also developed a stand-alone and wireless system, demonstrating its capability for remote monitoring and managing vascular health. Our pioneering SVG system showcases great potential in vascular healthcare for precise hemodynamic monitoring of disorders, timely diagnostics, and even drug screening. © 2025 American Chemical Society.
KW - flow sensors
KW - hemodynamic monitoring
KW - porous graphene
KW - thrombus
KW - vascular grafts
KW - vascular healthcare
UR - https://www.scopus.com/pages/publications/86000388792
UR - https://www.scopus.com/pages/publications/86000388792#tab=impact
U2 - 10.1021/acsnano.4c09980
DO - 10.1021/acsnano.4c09980
M3 - RGC 21 - Publication in refereed journal
SN - 1936-0851
VL - 19
SP - 7661
EP - 7676
JO - ACS Nano
JF - ACS Nano
IS - 8
ER -