The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A facile respiration-driven triboelectric nanogenerator for multifunctional respiratory monitoring
Abstract
Abstract Respiration is an important physiological process of human body that can not only act as vital signs for physical health management or “biomarkers” of some diseases, but also as a kind of energy that can be utilized to drive triboelectric nanogenerator (TENG). It is particularly desirable to develop a facile TENG that can be driven by human respiration itself for multifunctional human respiratory monitoring. In this work, a respiration-driven TENG based on Ce-doped ZnO-PANI nanocomposite film that can convert respiratory airflow energy into electric signals was developed for the detection of multiple respiratory parameters including trace-level NH3 concentration, human respiratory flow and respiratory frequency. It was found that the as-designed TENG exhibited excellent ability for respiratory flow monitoring (2–6 L/min), identification of human breathing frequency and recognition of different breathing patterns. Furthermore, output voltage of the self-powered NH3 sensor monotonously decreases with the increase of NH3 concentrations from 0.1 to 25 ppm. Especially, a good NH3-sensing performance was exhibited when exposed to a trace-level NH3 atmosphere ranging from 0.1 to 1 ppm, implying a promising potential in self-powered disease screening related to the detection of exhaled NH3 in human breathing. This research offers a facile method to establish a multifunctional respiratory monitoring system driven by respiration itself, which is of significant importance in self-powered human health monitoring through non-implantable respiratory diagnosis.
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Cites
Wearable humidity sensor based on porous graphene network for respiration monitoring
Pang, Y., Jian, J., Tu, T., Yang, Z., Ling, J., Li, Y., Wang, X., Qiao, Y., Tian, H., Yang, Y., et al. (2018) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2018.05.038 · Cited by 369
Cited by
Wang, D., Zhang, D., Yang, Y., Mi, Q., Zhang, J., & Yu, L. (2021) · ACS Nano · doi:10.1021/acsnano.0c09015 · Cited by 687
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
Self-citationTriboelectric nanogenerators as wearable power sources and self-powered sensors
Pu, X., Zhang, C., & Wang, Z. L. (2023) · National Science Review · doi:10.1093/nsr/nwac170 · Cited by 267
Electrical sensing of volatile organic compounds in exhaled breath for disease diagnosis
Yan, H., & Zhou, Y.-G. (2022) · Current Opinion in Electrochemistry · doi:10.1016/j.coelec.2021.100922 · Cited by 29
Metadata
- Authors
- Wang, S., Tai, H., Liu, B., Duan, Z., Yuan, Z., Pan, H., Su, Y., Xie, G., Du, X., & Jiang, Y.
- Venue
- Nano Energy
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 58
- Pages
- 312-321
- ISSN
- 2211-2855 (ISSN-L)
- OpenAlex
- W2910194597
- Cited by
- 202
- References
- 1
- FWCI
- 8.04
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wang, S., Tai, H., Liu, B., Duan, Z., Yuan, Z., Pan, H., Su, Y., Xie, G., Du, X., & Jiang, Y. (2019). A facile respiration-driven triboelectric nanogenerator for multifunctional respiratory monitoring. Nano Energy. https://doi.org/10.1016/j.nanoen.2019.01.042
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