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February 20, 2026Science Advances4 citationsOpen Access

Morphology-adaptive Au-Ag nanowire elastronics for integrated FlexoSERS and bioelectrical sensing

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HZHeng ZhangYCYuehua ChenGCGangsheng Chen

Key Points

  • This research focuses on developing a flexible sensing platform using morphology-adaptive Au-Ag nanowires for both optical and electrical monitoring.
  • Developed an elastronic platform utilizing Au-Ag nanowire arrays on various elastic substrates.
  • Fabricated nanowire arrays through a template-guided growth strategy.
  • Performed stable SERS measurements and biosignal monitoring on 1D, 2D, and 3D structures.
  • Applied deep learning for effective classification of physiological states from ECG signals.
  • Achieved high sensitivity and durability in SERS signals, remaining stable under 100% strain.
  • Maintained signal integrity after 2500 cycles of stress testing.
  • Enabled reliable ECG and EMG monitoring with long-term stability.
  • Facilitated accurate distinction between sleep and wake states through continuous monitoring.

Abstract

We introduce a morphology-adaptive Au-Ag nanowire elastronic platform that conforms to diverse geometries while enabling multimodal optical-electrical sensing. Using a facile yet versatile template-guided growth strategy, vertically aligned Au-Ag nanowire arrays are directly fabricated on 1D nano/microneedles, 2D elastic films, and 3D porous architectures. On 2D substrates, the arrays act as FlexoSERS interfaces with high sensitivity, uniformity (RSD = 7.2%), and durability, maintaining stable SERS signals under 100% strain and after 2500 cycles. On 3D porous sponges, the NWs serve as dry bioelectrical electrodes, enabling stable electrocardiogram (ECG) and electromyogram (EMG) monitoring with long-term stability. Continuous ECG recording, combined with deep learning analysis, enables accurate classification between sleep and wake states. Meanwhile, the EMG signals capture subtle motor activities such as finger bending, typing, and clicking. By uniting strain-tolerant FlexoSERS with reliable bioelectrical sensing across 1D-3D substrates, this platform provides a robust material foundation and a scalable route toward next-generation wearable health monitors, intelligent sleep evaluation, and human-machine interfaces.

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/6997fa49ad1d9b11b3453630https://doi.org/10.1126/sciadv.aec2162
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