The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Multilayer Graphene Epidermal Electronic Skin
Abstract
Due to its excellent flexibility, graphene has an important application prospect in epidermal electronic sensors. However, there are drawbacks in current devices, such as sensitivity, range, lamination, and artistry. In this work, we have demonstrated a multilayer graphene epidermal electronic skin based on laser scribing graphene, whose patterns are programmable. A process has been developed to remove the unreduced graphene oxide. This method makes the epidermal electronic skin not only transferable to butterflies, human bodies, and any other objects inseparably and elegantly, merely with the assistance of water, but also have better sensitivity and stability. Therefore, pattern electronic skin could attach to every object like artwork. When packed in Ecoflex, electronic skin exhibits excellent performance, including ultrahigh sensitivity (gauge factor up to 673), large strain range (as high as 10%), and long-term stability. Therefore, many subtle physiological signals can be detected based on epidermal electronic skin with a single graphene line. Electronic skin with multiple graphene lines is employed to detect large-range human motion. To provide a deeper understanding of the resistance variation mechanism, a physical model is established to explain the relationship between the crack directions and electrical characteristics. These results show that graphene epidermal electronic skin has huge potential in health care and intelligent systems.
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Cites
Electric Field Effect in Atomically Thin Carbon Films
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Zhang, Y., Dubonos, S. V., Grigorieva, I. V., & Firsov, A. A. (2004) · Science · doi:10.1126/science.1102896 · Cited by 66,834
Self-citationGeim, A. K., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1849 · Cited by 39,979
Materials and Mechanics for Stretchable Electronics
Rogers, J. A., Someya, T., & Huang, Y. (2010) · Science · doi:10.1126/science.1182383 · Cited by 5,042
Kim, D.-H., Lu, N., Ma, R., Kim, Y.-S., Kim, R.-H., Wang, S., Wu, J., Won, S. M., Tao, H., Islam, A., et al. (2011) · Science · doi:10.1126/science.1206157 · Cited by 4,836
Self-citationLaser Scribing of High-Performance and Flexible Graphene-Based Electrochemical Capacitors
El-Kady, M. F., Strong, V., Dubin, S., & Kaner, R. B. (2012) · Science · doi:10.1126/science.1216744 · Cited by 4,008
A stretchable carbon nanotube strain sensor for human-motion detection
Yamada, T., Hayamizu, Y., Yamamoto, Y., Yomogida, Y., Izadi-Najafabadi, A., Futaba, D. N., & Hata, K. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.36 · Cited by 3,247
Science and technology roadmap for graphene, related two-dimensional crystals, and hybrid systems
Ferrari, A. C., Bonaccorso, F., Fal'ko, V., Novoselov, K. S., Roche, S., Bøggild, P., Borini, S., Koppens, F. H. L., Palermo, V., Pugno, N., et al. (2015) · Nanoscale · doi:10.1039/c4nr01600a · Cited by 3,027
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
Pursuing prosthetic electronic skin
Chortos, A., Liu, J., & Bao, Z. (2016) · Nature Materials · doi:10.1038/nmat4671 · Cited by 2,396
Highly Stretchable and Sensitive Strain Sensor Based on Silver Nanowire–Elastomer Nanocomposite
Amjadi, M., Pichitpajongkit, A., Lee, S., Ryu, S., & Park, I. (2014) · ACS Nano · doi:10.1021/nn501204t · Cited by 2,350
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High-entropy ceramics: Review of principles, production and applications
Akrami, S., Edalati, P., Fuji, M., & Edalati, K. (2021) · Materials Science and Engineering: R: Reports · doi:10.1016/j.mser.2021.100644 · Cited by 1,008
Graphene-based wearable piezoresistive physical sensors
Zheng, Q., Lee, J.-H., Shen, X., Chen, X., & Kim, J.-K. (2020) · Materials Today · doi:10.1016/j.mattod.2019.12.004 · Cited by 486
Advances in graphene-based flexible and wearable strain sensors
Chen, H., Zhuo, F., Zhou, J., Liu, Y., Zhang, J., Dong, S., Liu, X., Elmarakbi, A., Duan, H., & Fu, Y. (2023) · Chemical Engineering Journal · doi:10.1016/j.cej.2023.142576 · Cited by 386
Chen, W., Liu, L.-X., Zhang, H.-B., & Yu, Z.-Z. (2021) · ACS Nano · doi:10.1021/acsnano.1c01277 · Cited by 293
Graphene-based wearable sensors
Qiao, Y., Li, X., Hirtz, T., Deng, G., Wei, Y., Li, M., Ji, S., Wu, Q., Jian, J., Wu, F., et al. (2019) · Nanoscale · doi:10.1039/c9nr05532k · Cited by 158
Self-citation
Metadata
- Authors
- Qiao, Y., Wang, Y., Tian, H., Li, M., Jian, J., Wei, Y., Tian, Y., Wang, D.-Y., Pang, Y., Geng, X., Wang, X., Zhao, Y., Wang, H., Deng, N., Jian, M., Zhang, Y., Liang, R., Yang, Y., & Ren, T.-L.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-07-24
- Volume
- 12
- Issue
- 9
- Pages
- 8839-8846
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2883656267
- Cited by
- 317
- References
- 45
- FWCI
- 14.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- Qiao, Y., Wang, Y., Tian, H., Li, M., Jian, J., Wei, Y., Tian, Y., Wang, D.-Y., Pang, Y., Geng, X., Wang, X., Zhao, Y., Wang, H., Deng, N., Jian, M., Zhang, Y., Liang, R., Yang, Y., & Ren, T.-L. (2018). Multilayer Graphene Epidermal Electronic Skin. ACS Nano. https://doi.org/10.1021/acsnano.8b02162
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