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A waterproof and ultra-elastic thermoelectric foam for underwater human signal detection
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  • Published: 12 January 2026

A waterproof and ultra-elastic thermoelectric foam for underwater human signal detection

  • Wendi Liu1 na1,
  • Xiao-Lei Shi  ORCID: orcid.org/0000-0003-0905-25472 na1,
  • Xinyang He  ORCID: orcid.org/0009-0001-6384-14941 na1,
  • Suiyuan Zhu1,
  • Zhen Li1,
  • Chengzu Li1,
  • Ding Zhang  ORCID: orcid.org/0000-0001-8819-17693,
  • Meng Li2,
  • Xiaoyun Wu2,
  • Hongnan Zhang1,
  • Liming Wang  ORCID: orcid.org/0000-0002-6958-31311,
  • Xiaohong Qin  ORCID: orcid.org/0000-0003-4663-903X1 &
  • …
  • Zhi-Gang Chen  ORCID: orcid.org/0000-0002-9309-79932 

Nature Communications , Article number:  (2026) Cite this article

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Subjects

  • Mechanical properties
  • Sensors and biosensors
  • Thermoelectrics

Abstract

Underwater tasks such as ocean exploration and emergency rescue demand advanced wearable sensors. However, multifunctional underwater sensors capable of integrating self-powered signal transmission, effective thermal-moisture regulation, and multi-signal decoupling remain unreported. Here, we present a three-dimensional multi-functional thermoelectric device composed of highly porous polyurethane foam coated with a waterproof conductive layer made from single-walled carbon nanotubes, poly(3,4-ethylenedioxythiophene)-polystyrene sulfonate, and waterborne polyurethane. Hydrogen bonding between the sulfonate groups in poly(3,4-ethylenedioxythiophene)-polystyrene sulfonate and the -NH groups in waterborne polyurethane enhances water resistance (contact angle of 112°) and mechanical durability under repeated compression (20,000 cycles), while achieving an ultra-fast response time of 40 ms. The device exhibits high breathability (406 mm s−1) owing to its porous three-dimensional architecture. Additionally, it enables precise temperature sensing with a resolution of 0.05 K and a response time of 400 ms. Importantly, it successfully decouples temperature and strain signals in underwater environments. Leveraging its waterproof and signal-decoupling capabilities, we further demonstrate a fully integrated underwater monitoring and interaction system encompassing sensing hardware and decision-making logic. This work represents a significant advancement in wearable underwater electronics and offers another perspective for reliable, real-time human-machine interaction in aquatic settings.

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Data availability

The data generated in this study are provided in the Source Data file. All data are available from the corresponding author upon request. Source data are provided with this paper.

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Acknowledgements

This work was partly supported by the Fundamental Research Funds for the Central Universities (2232023A-05), the grant (52373069) from the National Natural Science Foundation of China, and the Chang Jiang Scholars Program. This work was financially supported by the Australian Research Council, HBIS-UQ Innovation Centre for Sustainable Steel project, and QUT Capacity Building Professor Program.

Author information

Author notes
  1. These authors contributed equally: Wendi Liu, Xiao-Lei Shi, Xinyang He.

Authors and Affiliations

  1. Shanghai Frontiers Science Center of Advanced Textiles, College of Textiles, Donghua University, Shanghai, China

    Wendi Liu, Xinyang He, Suiyuan Zhu, Zhen Li, Chengzu Li, Hongnan Zhang, Liming Wang & Xiaohong Qin

  2. School of Chemistry and Physics, ARC Research Hub in Zero-emission Power Generation for Carbon Neutrality, and Centre for Materials Science. Queensland University of Technology, Brisbane, QLD, Australia

    Xiao-Lei Shi, Meng Li, Xiaoyun Wu & Zhi-Gang Chen

  3. School of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, China

    Ding Zhang

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Contributions

Z.-G. C., X.H. Q. and L.M. W. supervised the project and conceived the idea. W.D. L., X.-L. S. and X.Y. H. designed the experiments and wrote the manuscript. W.D. L. and S.Y. Z. performed the sample preparation, structural characterization, and thermoelectric property measurements. W.D. L., Z. L. and C.Z. L. conducted the finite element simulations and machine learning computation. W.D. L., M. L., X.Y. W., D. Z. and H.N. Z. analyzed the data. All the authors discussed the results and commented on the manuscript. All authors have approved the final version of the manuscript.

Corresponding authors

Correspondence to Liming Wang, Xiaohong Qin or Zhi-Gang Chen.

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Liu, W., Shi, XL., He, X. et al. A waterproof and ultra-elastic thermoelectric foam for underwater human signal detection. Nat Commun (2026). https://doi.org/10.1038/s41467-025-68055-y

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  • Received: 22 April 2025

  • Accepted: 16 December 2025

  • Published: 12 January 2026

  • DOI: https://doi.org/10.1038/s41467-025-68055-y

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