Spatially Programmable Electroadhesive Enables In Situ Site‐Selective Functional Coupling
Year: 2025
Type: article
Abstract: Precise intraoperative integration of bioelectronic devices with wet tissue surfaces remains a challenge due to the limited spatial control of adhesion sites. Here, an in situ spatially programmable electrical bioadhesive (termed "STICH") is reported that enables site-selective adhesion and functional coupling via light-activated bonding with wet biological tissue. Upon irradiation with patterned green light, Rose Bengal in a chitosan/silver nanowire hydrogel matrix generates singlet oxygen, which oxidizes amino acid residues into carbonyl groups on the tissue surface. The covalent bonding is then formed between the newly formed reactive carbonyl group and amine groups on chitosan. The spatially programmable adhesive allows robust tissue bonding with a lap-shear strength of 160 kPa and precise adhesion regions at ≈2 µm resolution. The light-patternable adhesive enables spatially resolved mechanical coupling for directional electromechanical sensing on ex vivo cardiac tissue. The low impedance adhesive interface also provides spatially programmed electrical coupling for in vivo neuromuscular stimulation on intraoperatively selected muscle groups. This platform advances microscale device-tissue integration and paves the way for reconfigurable bioelectronic therapies.
Source: Advanced Materials
Authors: Yuting Guo, Zhuoming Liang, Guoshi Xu, Zhen Gu, Yuheng Xu, Michael Raphael Panganiban, Xue Cai, Jet Yong Kiat Lim, Jiguang Zhang, Jingxiu Huang, Tingting Fan, Qi Gu, Yuxin Liu
Institutions: National University of Singapore, Institute for Health Innovation & Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Institute of Zoology, Beijing Institute for Stem Cell and Regenerative Medicine, University of Science and Technology Beijing, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China
Language: English
Subfield: Cellular and Molecular Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $6,070
OpenAlex ID: W4415149762
