Issue 20, 2022

A highly stable bimetallic organic framework for enhanced electrical performance of cellulose nanofiber-based triboelectric nanogenerators

Abstract

Triboelectric nanogenerators (TENGs) have garnered considerable attention as an emerging energy harvesting technology. To improve the electrical properties of the triboelectric materials in TENGs, various micro- and nanomaterials with strong charge-trapping capabilities are introduced as filler materials. However, the fillers generally perform a single function and lack long-term operational durability. Hence, further research is required to achieve stable and efficient TENGs. In this study, NH2 metal–organic frameworks (NH2-MOFs) were combined with a cellulose nanofiber (CNF) to prepare a composite film. NH2-MOFs have an aminated bimetallic organic backbone with strong charge-induction and charge-trapping capabilities. Thus, their addition significantly improved the stability, positive triboelectric properties and charge-trapping performance of the composite film. The optimized composite film and a fluorinated ethylene propylene film were used as triboelectric pairs to assemble a TENG. The electrical performance of the TENG was approximately 230% greater than that of a TENG with a pure CNF film and remained very stable for at least 90 days. These results demonstrate that NH2-MOFs are promising fillers for improving the performance of TENGs and expanding the range of materials used in TENG construction.

Graphical abstract: A highly stable bimetallic organic framework for enhanced electrical performance of cellulose nanofiber-based triboelectric nanogenerators

Supplementary files

Article information

Article type
Paper
Submitted
15 Jun 2022
Accepted
29 Aug 2022
First published
29 Aug 2022
This article is Open Access
Creative Commons BY-NC license

Nanoscale Adv., 2022,4, 4314-4320

A highly stable bimetallic organic framework for enhanced electrical performance of cellulose nanofiber-based triboelectric nanogenerators

T. Wang, Q. Zhu, Q. Zhu, Q. Yang, S. Wang and L. Luo, Nanoscale Adv., 2022, 4, 4314 DOI: 10.1039/D2NA00379A

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