The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Ultrasensitive Wearable Soft Strain Sensors of Conductive, Self-healing, and Elastic Hydrogels with Synergistic “Soft and Hard” Hybrid Networks
Abstract
Robust, stretchable, and strain-sensitive hydrogels have recently attracted immense research interest because of their potential application in wearable strain sensors. The integration of the synergistic characteristics of decent mechanical properties, reliable self-healing capability, and high sensing sensitivity for fabricating conductive, elastic, self-healing, and strain-sensitive hydrogels is still a great challenge. Inspired by the mechanically excellent and self-healing biological soft tissues with hierarchical network structures, herein, functional network hydrogels are fabricated by the interconnection between a “soft” homogeneous polymer network and a “hard” dynamic ferric (Fe 3+ ) cross-linked cellulose nanocrystals (CNCs–Fe 3+ ) network. Under stress, the dynamic CNCs–Fe 3+ coordination bonds act as sacrificial bonds to efficiently dissipate energy, while the homogeneous polymer network leads to a smooth stress-transfer, which enables the hydrogels to achieve unusual mechanical properties, such as excellent mechanical strength, robust toughness, and stretchability, as well as good self-recovery property. The hydrogels demonstrate autonomously self-healing capability in only 5 min without the need of any stimuli or healing agents, ascribing to the reorganization of CNCs and Fe 3+ via ionic coordination. Furthermore, the resulted hydrogels display tunable electromechanical behavior with sensitive, stable, and repeatable variations in resistance upon mechanical deformations. Based on the tunable electromechanical behavior, the hydrogels can act as a wearable strain sensor to monitor finger joint motions, breathing, and even the slight blood pulse. This strategy of building synergistic “soft and hard” structures is successful to integrate the decent mechanical properties, reliable self-healing capability, and high sensing sensitivity together for assembling a high-performance, flexible, and wearable strain sensor.
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Cites
Biological materials: Structure and mechanical properties
Meyers, M. A., Chen, P.-Y., Lin, A. Y.-M., & Seki, Y. (2008) · Progress in Materials Science · doi:10.1016/j.pmatsci.2007.05.002 · Cited by 2,573
An ultra-lightweight design for imperceptible plastic electronics
Kaltenbrunner, M., Sekitani, T., Reeder, J., Yokota, T., Kuribara, K., Tokuhara, T., Drack, M., Schwödiauer, R., Graz, I., Bauer-Gogonea, S., et al. (2013) · Nature · doi:10.1038/nature12314 · Cited by 2,485
Physical hydrogels composed of polyampholytes demonstrate high toughness and viscoelasticity
Sun, T. L., Kurokawa, T., Kuroda, S., Ihsan, A. B., Akasaki, T., Sato, K., Haque, M. A., Nakajima, T., & Gong, J. P. (2013) · Nature Materials · doi:10.1038/nmat3713 · Cited by 2,089
Intrinsically stretchable and healable semiconducting polymer for organic transistors
Oh, J. Y., Rondeau-Gagné, S., Chiu, Y.-C., Chortos, A., Lissel, F., Wang, G.-J. N., Schroeder, B. C., Kurosawa, T., Lopez, J., Katsumata, T., et al. (2016) · Nature · doi:10.1038/nature20102 · Cited by 1,349
Calvert, P. (2009) · Advanced Materials · doi:10.1002/adma.200800534 · Cited by 1,004
Roh, E., Hwang, B.-U., Kim, D., Kim, B.-Y., & Lee, N.-E. (2015) · ACS Nano · doi:10.1021/acsnano.5b01613 · Cited by 927
Sensitive electromechanical sensors using viscoelastic graphene-polymer nanocomposites
Boland, C. S., Khan, U., Ryan, G., Barwich, S., Charifou, R., Harvey, A., Backes, C., Li, Z., Ferreira, M. S., Möbius, M. E., et al. (2016) · Science · doi:10.1126/science.aag2879 · Cited by 823
Oppositely Charged Polyelectrolytes Form Tough, Self‐Healing, and Rebuildable Hydrogels
Luo, F., Sun, T. L., Nakajima, T., Kurokawa, T., Zhao, Y., Sato, K., Ihsan, A. B., Li, X., Guo, H., & Gong, J. P. (2015) · Advanced Materials · doi:10.1002/adma.201500140 · Cited by 664
Kim, K. K., Hong, S., Cho, H. M., Lee, J., Suh, Y. D., Ham, J., & Ko, S. H. (2015) · Nano Letters · doi:10.1021/acs.nanolett.5b01505 · Cited by 626
Liu, Q., Chen, J., Li, Y., & Shi, G. (2016) · ACS Nano · doi:10.1021/acsnano.6b03813 · Cited by 609
Cited by
Bio-Integrated Wearable Systems: A Comprehensive Review
Ray, T. R., Choi, J., Bandodkar, A. J., Krishnan, S., Gutruf, P., Tian, L., Ghaffari, R., & Rogers, J. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00573 · Cited by 1,350
Multifunctional Skin‐Inspired Flexible Sensor Systems for Wearable Electronics
Xu, K., Lu, Y., & Takei, K. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201800628 · Cited by 602
Ge, G., Zhang, Y., Shao, J., Wang, W., Si, W., Huang, W., & Dong, X. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201802576 · Cited by 579
Multifunctional conductive hydrogel-based flexible wearable sensors
Wang, L., Xu, T., & Zhang, X. (2021) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2020.116130 · Cited by 507
Sun, H., Zhao, Y., Wang, C., Zhou, K., Yan, C., Zheng, G., Huang, J., Dai, K., Liu, C., & Shen, C. (2020) · Nano Energy · doi:10.1016/j.nanoen.2020.105035 · Cited by 364
Metadata
- Authors
- Liu, Y.-J., Cao, W.-T., Ma, M.-G., & Wan, P.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-07-21
- Volume
- 9
- Issue
- 30
- Pages
- 25559-25570
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2734359433
- Cited by
- 544
- References
- 37
- FWCI
- 23.51
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liu, Y.-J., Cao, W.-T., Ma, M.-G., & Wan, P. (2017). Ultrasensitive Wearable Soft Strain Sensors of Conductive, Self-healing, and Elastic Hydrogels with Synergistic “Soft and Hard” Hybrid Networks. ACS Applied Materials & Interfaces. https://doi.org/10.1021/acsami.7b07639
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