High-Current Triboelectric Nanogenerator Based on Bionic SrCO <sub>3</sub> /BaTiZrO <sub>3</sub> /PDMS for Finger Bending Signal Detection

With the growing demand for detecting minute human signals in patients with tactile dysfunction driven by the Internet of Things (IoT) development, triboelectric nanogenerator (TENG) offers a solution for high-precision human signal monitoring. This study proposes an improved flexible TENG featuring a nanopapillary structure composed of barium zirconate titanate/strontium carbonate/polydimethylsiloxane (Sr-BZT/PDMS) for wireless monitoring of human finger bending signals. Inspired by the natural micronano architecture of lotus leaves, a biomimetic papillary structure was constructed on the surface of the negative triboelectric layer film, significantly increasing its contact area and surface roughness. Further incorporation of piezoelectric barium zirconate titanate nanoparticles and strontium carbonate enhanced the electrical output performance of the TENG through synergistic effects with a triboelectric effect. Consequently, when the Sr-BZT nanoparticle content in the biomimetic Sr-BZT/PDMS composite film reached 15 wt %, the composite film exhibited superhydrophobicity and high surface roughness (Rq = 200 nm). The corresponding TENG achieved electrical output performance of 52 V, 246 μA, and 1.7 W/m2. Compared with PDMS-based TENGs, the optimized device exhibited a 49-fold increase in short-circuit current. Furthermore, the TENG maintained stable output performance after continuous operation for one month. The TENG based on this design can collect minute mechanical signals generated when a human finger bends.

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Publication Details

Journal
ACS Applied Nano Materials
Published
2025-12-04
DOI
https://doi.org/10.1021/acsanm.5c04292
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
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article

High-Current Triboelectric Nanogenerator Based on Bionic SrCO 3 /BaTiZrO 3 /PDMS for Finger Bending Signal Detection

Xinggang Li, Wenjie Wang, Qianqian Li, Peng Li et al.
ACS Applied Nano Materials
Advanced Sensor and Energy Harvesting Materials
article

High-Current Triboelectric Nanogenerator Based on Bionic SrCO 3 /BaTiZrO 3 /PDMS for Finger Bending Signal Detection

Xinggang Li, Wenjie Wang, Qianqian Li, Peng Li, Soon Jae Yu
article en

Abstract

With the growing demand for detecting minute human signals in patients with tactile dysfunction driven by the Internet of Things (IoT) development, triboelectric nanogenerator (TENG) offers a solution for high-precision human signal monitoring. This study proposes an improved flexible TENG featuring a nanopapillary structure composed of barium zirconate titanate/strontium carbonate/polydimethylsiloxane (Sr-BZT/PDMS) for wireless monitoring of human finger bending signals. Inspired by the natural micronano architecture of lotus leaves, a biomimetic papillary structure was constructed on the surface of the negative triboelectric layer film, significantly increasing its contact area and surface roughness. Further incorporation of piezoelectric barium zirconate titanate nanoparticles and strontium carbonate enhanced the electrical output performance of the TENG through synergistic effects with a triboelectric effect. Consequently, when the Sr-BZT nanoparticle content in the biomimetic Sr-BZT/PDMS composite film reached 15 wt %, the composite film exhibited superhydrophobicity and high surface roughness (Rq = 200 nm). The corresponding TENG achieved electrical output performance of 52 V, 246 μA, and 1.7 W/m2. Compared with PDMS-based TENGs, the optimized device exhibited a 49-fold increase in short-circuit current. Furthermore, the TENG maintained stable output performance after continuous operation for one month. The TENG based on this design can collect minute mechanical signals generated when a human finger bends.

ACS Applied Nano MaterialsVol. 8(49)
SMART Reading (US), PRG S&Tech (South Korea), Xinjiang University (CN)
Openalex Percentile: Top 62%
Advanced Sensor and Energy Harvesting Materials
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High-Current Triboelectric Nanogenerator Based on Bionic SrCO <sub>3</sub> /BaTiZrO <sub>3</sub> /PDMS for Finger Bending Signal Detection — Xinggang Li, Wenjie Wang, et al. · ACS Applied Nano Materials (2025) | TGRS Research Map | TGRS