journal article·2023-12

Flexible wood-based triboelectric nanogenerator for versatile self-powered sensing

Jiaqi Liao, Yuanyuan Wang, Shitao Shi, Chencong Liu, Qingfeng Sun, Xiaoping Shen

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Abstract

With the continuous advancement of internet of things, big data, and artificial intelligence technologies, self-powered functionalized applications have emerged as pivotal components in the realm of smart technology. Here, we present a flexible and environmentally sustainable wood-based triboelectric nanogenerator (W-TENG) that enables the self-powered functionalization of applications in the emerging smart field. By employing a straightforward yet effective approach utilizing natural balsa wood, the W-TENG exhibits remarkable flexibility, stability, and sensitivity. Notably, balsa wood possesses a lower weight, density, and crystallinity compared to other types of natural wood, resulting in thinner internal cell walls, larger individual cells and a more porous structure. These characteristics prove particularly advantageous for solvent modification. Given the prevalent use of wood materials in domestic construction, the energy-efficient W-TENG can be seamlessly integrated into various smart applications, including wireless switches, home flooring, and energy-saving lamps. Moreover, this integration offers several benefits such as cost-effectiveness, high durability, ease of processing, and environmental friendliness. This research not only expands the range of self-powered applications in the smart sector but also drives the development of eco-friendly W-TENG electronics.
Source: expertdata · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Supercapacitor Materials and Fabrication

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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