The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Zwitterionic Skins with a Wide Scope of Customizable Functionalities
Abstract
With growing interest in the fields of wearable devices, it is crucial yet rather challenging to develop skinlike soft conductive materials with customizable functionalities and human tissue-compatible mechanical properties. Previously reported electronic skins struggle to meet the demands for transparence, mechanical adaptability, and stable conductivity during deformation. The recent rise of ionic skins with inorganic salts or ionic liquids doping provides the intrinsic stretchability, however, dilemmas remain for their limited functionalities such as a monotonous appearance and a narrow scope of mechanical and sensory properties. Herein, we design a type of zwitterionic hydrogels from the perspective of molecular interactions, which successfully combines ultrastretchability (>10000% strain), high strength (∼300 kPa), self-healability (at room temperature within 12 h), 3D printability, distinct stimuli-responsibility, biocompatibility, and antibacterial activity. The wide spectrum of such excellent properties has been rarely reported before and along with the ability to fabricate bioinspired intelligent skins recreating multiple sensations and mechanical properties of human skin, covering a broad range of sensitivity, and displaying tunable visual effect. We believe this work will inspire the programming of stimuli-responsive skinlike materials and contribute to the smart devices for information transformation between natural and artificial interfaces.
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Citations
Cites
Advances in engineering hydrogels
Zhang, Y. S., & Khademhosseini, A. (2017) · Science · doi:10.1126/science.aaf3627 · Cited by 2,908
The rise of plastic bioelectronics
Someya, T., Bao, Z., & Malliaras, G. G. (2016) · Nature · doi:10.1038/nature21004 · Cited by 1,884
Highly stretchable electroluminescent skin for optical signaling and tactile sensing
Larson, C., Peele, B., Li, S., Robinson, S., Totaro, M., Beccai, L., Mazzolai, B., & Shepherd, R. (2016) · Science · doi:10.1126/science.aac5082 · Cited by 1,393
Ultrathin conformal devices for precise and continuous thermal characterization of human skin
Webb, R. C., Bonifas, A. P., Behnaz, A., Zhang, Y., Yu, K. J., Cheng, H., Shi, M., Bian, Z., Liu, Z., Kim, Y.-S., et al. (2013) · Nature Materials · doi:10.1038/nmat3755 · Cited by 1,229
Hydraulically amplified self-healing electrostatic actuators with muscle-like performance
Acome, E., Mitchell, S. K., Morrissey, T. G., Emmett, M. B., Benjamin, C., King, M., Radakovitz, M., & Keplinger, C. (2018) · Science · doi:10.1126/science.aao6139 · Cited by 1,072
Trung, T. Q., Ramasundaram, S., Hwang, B., & Lee, N. (2016) · Advanced Materials · doi:10.1002/adma.201504441 · Cited by 870
Liu, Q., Chen, J., Li, Y., & Shi, G. (2016) · ACS Nano · doi:10.1021/acsnano.6b03813 · Cited by 609
Harada, S., Kanao, K., Yamamoto, Y., Arie, T., Akita, S., & Takei, K. (2014) · ACS Nano · doi:10.1021/nn506293y · Cited by 350
Cited by
Stretchable and tough conductive hydrogels for flexible pressure and strain sensors
Wang, Z., Cong, Y., & Fu, J. (2020) · Journal of Materials Chemistry B · doi:10.1039/c9tb02570g · Cited by 607
Lei, Z., & Wu, P. (2019) · Nature Communications · doi:10.1038/s41467-019-11364-w · Cited by 432
Self-citationNanocomposite hydrogel-based strain and pressure sensors: a review
Sun, X., Yao, F., & Li, J. (2020) · Journal of Materials Chemistry A · doi:10.1039/d0ta06965e · Cited by 420
Zhang, C., Zhou, Y., Han, H., Zheng, H., Xu, W., & Wang, Z. (2021) · ACS Nano · doi:10.1021/acsnano.0c09577 · Cited by 316
Cheng, T., Zhang, Y., Wang, S., Chen, Y., Gao, S., Wang, F., Lai, W., & Huang, W. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202101303 · Cited by 308
Metadata
- Authors
- Lei, Z., & Wu, P.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-11-16
- Volume
- 12
- Issue
- 12
- Pages
- 12860-12868
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2901790745
- Cited by
- 206
- References
- 8
- FWCI
- 7.93
- Type
- journal article
- Language
- en
- Open access
- closed
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