3D printing deep-trap hierarchical architecture-based non-contact sensor for multi-direction motion monitoring. (March 2023)
- Record Type:
- Journal Article
- Title:
- 3D printing deep-trap hierarchical architecture-based non-contact sensor for multi-direction motion monitoring. (March 2023)
- Main Title:
- 3D printing deep-trap hierarchical architecture-based non-contact sensor for multi-direction motion monitoring
- Authors:
- Wang, Binbin
Gao, Meng
Fu, Xiaofei
Geng, Mengchen
Liu, Yang
Cheng, Ningxuan
Li, Jie
Li, Lihong
Zhang, Zhengjian
Song, Yanlin - Abstract:
- Abstract: Non-contact sensors, intelligent electronics that interact with surrounding information with no physical contact, are highly desirable for human-machine interaction. Due to the increased sensing distance and expanded operation scope, it is anticipated the non-contact device exhibiting enhanced electrical output and detection range. Here, freeze-drying assisted 3D printing approach is employed to fabricate cellulose nanofiber (CNF)/MXene-based deep-trap hierarchical architecture for non-contact triboelectric nanogenerators, which exhibit excellent sensing performance for multi-direction motion monitoring. The intermolecular hydrogen bonding between CNF and MXene nanosheets facilitates the formation of a well-dispersed ink with suitable viscoelasticity for 3D printing. The incorporation of MXene nanosheets provides the printed scaffold with more open pores for increased charge generation. Meanwhile, the high electron trapping capability of MXene leads to a weakened electron escaping tendency and an increased decay time, which are beneficial for the device's non-contact voltage output. Based on the as-prepared non-contact sensor, an all-printed sensing array and a 3D sensor are demonstrated for multi-site and multi-dimension motion trajectories monitoring, indicating its great potential in healthcare, safe navigation, and artificial intelligence. Graphical Abstract: A freeze-drying-assisted 3D printing strategy is employed to fabricate cellulose nanofiber/MXene-basedAbstract: Non-contact sensors, intelligent electronics that interact with surrounding information with no physical contact, are highly desirable for human-machine interaction. Due to the increased sensing distance and expanded operation scope, it is anticipated the non-contact device exhibiting enhanced electrical output and detection range. Here, freeze-drying assisted 3D printing approach is employed to fabricate cellulose nanofiber (CNF)/MXene-based deep-trap hierarchical architecture for non-contact triboelectric nanogenerators, which exhibit excellent sensing performance for multi-direction motion monitoring. The intermolecular hydrogen bonding between CNF and MXene nanosheets facilitates the formation of a well-dispersed ink with suitable viscoelasticity for 3D printing. The incorporation of MXene nanosheets provides the printed scaffold with more open pores for increased charge generation. Meanwhile, the high electron trapping capability of MXene leads to a weakened electron escaping tendency and an increased decay time, which are beneficial for the device's non-contact voltage output. Based on the as-prepared non-contact sensor, an all-printed sensing array and a 3D sensor are demonstrated for multi-site and multi-dimension motion trajectories monitoring, indicating its great potential in healthcare, safe navigation, and artificial intelligence. Graphical Abstract: A freeze-drying-assisted 3D printing strategy is employed to fabricate cellulose nanofiber/MXene-based hierarchical aerogel scaffold for non-contact sensors with high charge trapping capability and electrical output. The strategy is demonstrated to fabricate a sensing array and a 3D sensor for muti-site and multi-dimension position detection and moving trajectory monitoring. ga1 Highlights: Through a freeze-drying assisted 3D printing approach, CNF/MXene-based hierarchical architecture is fabricated for non-contact triboelectric sensor. The high electron trapping capability of MXene leads to a weakened electron escaping tendency and an increased decay time for improved device performance. Based on the 3D-printed TENG, a non-contact sensing system is designed for multi-direction motion monitoring. … (more)
- Is Part Of:
- Nano energy. Volume 107(2023)
- Journal:
- Nano energy
- Issue:
- Volume 107(2023)
- Issue Display:
- Volume 107, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 107
- Issue:
- 2023
- Issue Sort Value:
- 2023-0107-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-03
- Subjects:
- 3D printing -- Non-contact sensor -- Cellulose -- MXene -- Triboelectric nanogenerator
Nanoscience -- Periodicals
Nanotechnology -- Periodicals
Nanostructured materials -- Periodicals
Power resources -- Technological innovations -- Periodicals
Nanoscience
Nanostructured materials
Nanotechnology
Power resources -- Technological innovations
Periodicals
621.042 - Journal URLs:
- http://www.sciencedirect.com/science/journal/22112855 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.nanoen.2022.108135 ↗
- Languages:
- English
- ISSNs:
- 2211-2855
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25739.xml