The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Self‐Powered Wearable Electronics Based on Moisture Enabled Electricity Generation
Abstract
Most state‐of‐the‐art electronic wearable sensors are powered by batteries that require regular charging and eventual replacement, which would cause environmental issues and complex management problems. Here, a device concept is reported that can break this paradigm in ambient moisture monitoring—a new class of simple sensors themselves can generate moisture‐dependent voltage that can be used to determine the ambient humidity level directly. It is demonstrated that a moisture‐driven electrical generator, based on the diffusive flow of water in titanium dioxide (TiO 2) nanowire networks, can yield an output power density of up to 4 µW cm−2 when exposed to a highly moist environment. This performance is two orders of magnitude better than that reported for carbon‐black generators. The output voltage is strongly dependent on humidity of ambient environment. As a big breakthrough, this new type of device is successfully used as self‐powered wearable human‐breathing monitors and touch pads, which is not achievable by any existing moisture‐induced‐electricity technology. The availability of high‐output self‐powered electrical generators will facilitate the design and application of a wide range of new innovative flexible electronic devices.
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Fu, H., & Cohen, R. E. (2000) · Nature · doi:10.1038/35002022 · Cited by 2,182
Xu, S., Qin, Y., Xu, C., Wei, Y., Yang, R., & Wang, Z. L. (2010) · Nature Nanotechnology · doi:10.1038/nnano.2010.46 · Cited by 1,626
Nanostructured Thermoelectrics: Big Efficiency Gains from Small Features
Vineis, C. J., Shakouri, A., Majumdar, A., & Kanatzidis, M. G. (2010) · Advanced Materials · doi:10.1002/adma.201000839 · Cited by 1,430
Wang, S., Lin, L., & Wang, Z. L. (2012) · Nano Letters · doi:10.1021/nl303573d · Cited by 1,307
Water-evaporation-induced electricity with nanostructured carbon materials
Xue, G., Xu, Y., Ding, T., Li, J., Yin, J., Fei, W., Cao, Y., Yu, J., Yuan, L., Gong, L., et al. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2016.300 · Cited by 1,238
Recent Progress in Energy‐Driven Water Splitting
Tee, S. Y., Win, K. Y., Teo, W. S., Koh, L., Liu, S., Teng, C. P., & Han, M. (2017) · Advanced Science · doi:10.1002/advs.201600337 · Cited by 962
Radial-arrayed rotary electrification for high performance triboelectric generator
Zhu, G., Chen, J., Zhang, T., Jing, Q., & Wang, Z. L. (2014) · Nature Communications · doi:10.1038/ncomms4426 · Cited by 868
Bio-Inspired Polymer Composite Actuator and Generator Driven by Water Gradients
Ma, M., Guo, L., Anderson, D. G., & Langer, R. (2013) · Science · doi:10.1126/science.1230262 · Cited by 849
Chen, J., Zhu, G., Yang, W., Jing, Q., Bai, P., Yang, Y., Hou, T., & Wang, Z. L. (2013) · Advanced Materials · doi:10.1002/adma.201302397 · Cited by 822
On-chip cooling by superlattice-based thin-film thermoelectrics
Chowdhury, I., Prasher, R., Lofgreen, K., Chrysler, G., Narasimhan, S., Mahajan, R., Koester, D., Alley, R., & Venkatasubramanian, R. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2008.417 · Cited by 821
Cited by
Evolution of breath analysis based on humidity and gas sensors: Potential and challenges
Tai, H., Wang, S., Duan, Z., & Jiang, Y. (2020) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2020.128104 · Cited by 412
Recent advances in humidity sensors for human body related humidity detection
Duan, Z., Jiang, Y., & Tai, H. (2021) · Journal of Materials Chemistry C · doi:10.1039/d1tc04180k · Cited by 365
Xu, Z., Wu, C., Zhu, Y., Ju, S., Ma, F., Guo, T., Li, F., & Kim, T. W. (2021) · Nanoscale · doi:10.1039/d0nr06550a · Cited by 26
Metadata
- Authors
- Shen, D., Xiao, M., Zou, G., Liu, L., Duley, W. W., & Zhou, Y. N.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2018-03-24
- Volume
- 30
- Issue
- 18
- Pages
- e1705925-e1705925
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2793823978
- Cited by
- 451
- References
- 20
- FWCI
- 10.19
- Type
- journal article
- Language
- en
- Open access
- closed
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- Shen, D., Xiao, M., Zou, G., Liu, L., Duley, W. W., & Zhou, Y. N. (2018). Self‐Powered Wearable Electronics Based on Moisture Enabled Electricity Generation. Advanced Materials. https://doi.org/10.1002/adma.201705925
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
