The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
High-performance flexible triboelectric nanogenerator based on porous aerogels and electrospun nanofibers for energy harvesting and sensitive self-powered sensing
Abstract
Abstract Finding new means to enhance the performance of triboelectric nanogenerators (TENGs) is an ongoing pursuit. We report a novel flexible TENG made of highly porous cellulose nanofibril (CNF)/polyethylenimine (PEI) aerogel film paired with polyvinylidene fluoride (PVDF) nanofiber mats that exhibits outstanding triboelectric outputs. Modifying CNF with PEI not only enhances the mechanical properties of the CNF/PEI aerogel, but also greatly improves the power density by 14.4 times due to the enhanced tribopositivity. The triboelectric performance is further improved by employing multiple layers of PVDF mats. The TENG made of the CNF/PEI aerogel paired with four layers of PVDF mats exhibited an 18.3 times and 97.6 times improvement in output voltage and power density, respectively, compared to the TENG made of one layer of PVDF mat. The peak output power density reached 13.3 W/m2 at a load resistance of 106 Ω. Furthermore, the novel TENG displays extraordinary sensitivity when used as a self-powered sensor. It can detect not only human motion like arm bending and footsteps, but also small forces like finger tapping, water dripping, and the vibration of the substrate it is attached to. Therefore, this study not only demonstrates a high performance TENG, but also provides new insights into the design, fabrication, and application of TENGs.
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Nanostructured materials for advanced energy conversion and storage devices
Aricò, A. S., Bruce, P., Scrosati, B., Tarascon, J.-M., & van Schalkwijk, W. (2005) · Nature Materials · doi:10.1038/nmat1368 · Cited by 8,826
Cellulose: Fascinating Biopolymer and Sustainable Raw Material
Klemm, D., Heublein, B., Fink, H., & Bohn, A. (2005) · Angewandte Chemie International Edition · doi:10.1002/anie.200460587 · Cited by 7,551
Cellulose nanomaterials review: structure, properties and nanocomposites
Moon, R. J., Martini, A., Nairn, J., Simonsen, J., & Youngblood, J. (2011) · Chemical Society Reviews · doi:10.1039/c0cs00108b · Cited by 6,756
Flexible triboelectric generator
Fan, F.-R., Tian, Z.-Q., & Lin Wang, Z. (2012) · Nano Energy · doi:10.1016/j.nanoen.2012.01.004 · Cited by 6,705
Nanocelluloses: A New Family of Nature‐Based Materials
Klemm, D., Kramer, F., Moritz, S., Lindström, T., Ankerfors, M., Gray, D., & Dorris, A. (2011) · Angewandte Chemie International Edition · doi:10.1002/anie.201001273 · Cited by 4,465
Wang, Z. L. (2013) · ACS Nano · doi:10.1021/nn404614z · Cited by 3,058
Progress in triboelectric nanogenerators as a new energy technology and self-powered sensors
Wang, Z. L., Chen, J., & Lin, L. (2015) · Energy & Environmental Science · doi:10.1039/c5ee01532d · Cited by 2,174
Fan, F.-R., Lin, L., Zhu, G., Wu, W., Zhang, R., & Wang, Z. L. (2012) · Nano Letters · doi:10.1021/nl300988z · Cited by 1,985
Flexible Nanogenerators for Energy Harvesting and Self‐Powered Electronics
Fan, F. R., Tang, W., & Wang, Z. L. (2016) · Advanced Materials · doi:10.1002/adma.201504299 · Cited by 1,918
Production of cellulose nanofibrils: A review of recent advances
Nechyporchuk, O., Belgacem, M. N., & Bras, J. (2016) · Industrial Crops and Products · doi:10.1016/j.indcrop.2016.02.016 · Cited by 1,687
Cited by
Chen, Y., Zhang, L., Yang, Y., Pang, B., Xu, W., Duan, G., Jiang, S., & Zhang, K. (2021) · Advanced Materials · doi:10.1002/adma.202005569 · Cited by 721
Metadata
- Authors
- Mi, H.-Y., Jing, X., Zheng, Q., Fang, L., Huang, H.-X., Turng, L.-S., & Gong, S.
- Venue
- Nano Energy
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 48
- Pages
- 327-336
- ISSN
- 2211-2855 (ISSN-L)
- OpenAlex
- W2795096284
- Cited by
- 299
- References
- 48
- FWCI
- 10.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mi, H.-Y., Jing, X., Zheng, Q., Fang, L., Huang, H.-X., Turng, L.-S., & Gong, S. (2018). High-performance flexible triboelectric nanogenerator based on porous aerogels and electrospun nanofibers for energy harvesting and sensitive self-powered sensing. Nano Energy. https://doi.org/10.1016/j.nanoen.2018.03.050
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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