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Cardiac oxidative stress monitoring enabled by hierarchical mechanical adaptation

Bowen Yang, J Li H WangiD, Dong WuiD, Zan CheniD, Yimei Du, Xiaoxuan GongiD, Hong Liu, Yuanyuan Xie, Xiaojun HeiD, Guoliang HaoiD, Gongxin Wang, Zun Zhang, Kewei Xie, Yizhi WuiD, Can Cao, Nuan CheniD, Pingqiang CaiiD, Lanxin Xiao, Lei XieiD, Haochen Zou, Qunli Lei, Xiao Zhao, Ting Li, Jie ChaoiD, Zhi Jiang, , Lianhui Wang

PDFDOI

Abstract

Soft bioelectronics have advanced cardiac monitoring through electrophysiological tracking, yet this alone cannot resolve the metabolic pathology essential to surgical decision-making. However, real-time molecular sensing on beating hearts remains unresolved due to deformation-induced sensor failure and stress-induced metabolite artifacts. This challenge is exemplified by ischemia-reperfusion injury (IRI), a major cardiac surgery complication characterized by reactive oxidative species (ROS) bursts, where true pathological ROS signals being confounded by mechanotransduction-induced ROS artifacts. Herein, we propose an enzymatic cardiac oxidative stress biosensor (E-cardiac) with hierarchical mechanical adaptation: macro-scale biofluid-mediated contact, micro-scale fiber reorganization, and nano-scale enzymatic confinement within gold nanoarches dissipate interfacial stress. This produces ultrathin ([~]460 nm), soft (0.79 kPa) E-cardiac with robust electrochemical stability (100% strain), low detection limit (380 nM), rapid adhesion (<3 s), stable biosensing on beating heart, as well as minimal invasive deployment capability. Mechanical analysis and cellular studies confirm mitigated stress-induced ROS and absent PIEZO channel activation. Validated across cardiomyocytes, ex vivo tissues, multi-species ischemia models (mouse, rat, rabbit, pig), rat ischemia-reperfusion injury, and Langendorff hearts simulating graded perfusion deficits, E-cardiac quantitatively differentiates IRI severity (sham < ischemia < reperfusion) as well as detecting the "ECG blind window". The E-cardiac platform provides real-time metabolic feedback for surgical guidance during cardiac procedures, enabling timely intervention before irreversible damage.

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