The Influence of DMSO on PVA/PVDF Hydrogel Properties: From Materials to Sensors Applications

This research study aims to explore the synergistic effects of incorporating polyvinylidene fluoride (PVDF) into polyvinyl alcohol (PVA) hydrogels to enhance their suitability for triboelectric sensors applications. The preparation process employs a method of freezing/thawing conducted in dimethyl sulfoxide (DMSO), followed by solvent replacement with water. This approach effectively preserves PVDF in its α phase, eliminating piezoelectric effects and enhancing the hydrogels' mechanical properties. The use of DMSO contributes to reduced pore size, while incorporating PVDF significantly improves the three-dimensional network structure of the hydrogels, resulting in enhanced thermal and chemical resistance. Thorough characterization of the resulting PVA/PVDF composite hydrogels, prepared with varying ratios of PVA to PVDF (10:0, 8:2, and 5:5), was conducted by using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), electrochemical impedance spectroscopy (EIS), rheology, and thermogravimetric analysis (TGA). Notably, the composite hydrogels were tested in pressure sensors and human voice sensors, demonstrating their capability to recognize different patterns associated with various letters. The incorporation of PVDF significantly enhanced the signal-to-noise ratio in PVA/PVDF-based sensors compared with those made solely from PVA, highlighting a notable improvement in voice detection. The enhancements were quantified as 56% for "a", 35% for "r", and 47% for "m".

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Publication Details

Journal
Gels
Published
2025-02-13
DOI
https://doi.org/10.3390/gels11020133
Citations
3
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.02

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article

The Influence of DMSO on PVA/PVDF Hydrogel Properties: From Materials to Sensors Applications

Maria Cristina Cassani, Lamyea Yeasmin, Daniele Caretti, Valentina Di Matteo et al.
3 citations
Gels
Advanced Sensor and Energy Harvesting Materials
2.02
article

The Influence of DMSO on PVA/PVDF Hydrogel Properties: From Materials to Sensors Applications

Maria Cristina Cassani, Lamyea Yeasmin, Daniele Caretti, Valentina Di Matteo, M. Rea, Stefano Scurti, Isacco Gualandi, Barbara Ballarin, Silvia Panzavolta, Giada D’Altri, Angelica Giovagnoli
article en
3 citations

Abstract

This research study aims to explore the synergistic effects of incorporating polyvinylidene fluoride (PVDF) into polyvinyl alcohol (PVA) hydrogels to enhance their suitability for triboelectric sensors applications. The preparation process employs a method of freezing/thawing conducted in dimethyl sulfoxide (DMSO), followed by solvent replacement with water. This approach effectively preserves PVDF in its α phase, eliminating piezoelectric effects and enhancing the hydrogels' mechanical properties. The use of DMSO contributes to reduced pore size, while incorporating PVDF significantly improves the three-dimensional network structure of the hydrogels, resulting in enhanced thermal and chemical resistance. Thorough characterization of the resulting PVA/PVDF composite hydrogels, prepared with varying ratios of PVA to PVDF (10:0, 8:2, and 5:5), was conducted by using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), electrochemical impedance spectroscopy (EIS), rheology, and thermogravimetric analysis (TGA). Notably, the composite hydrogels were tested in pressure sensors and human voice sensors, demonstrating their capability to recognize different patterns associated with various letters. The incorporation of PVDF significantly enhanced the signal-to-noise ratio in PVA/PVDF-based sensors compared with those made solely from PVA, highlighting a notable improvement in voice detection. The enhancements were quantified as 56% for "a", 35% for "r", and 47% for "m".

GelsVol. 11(2)
Politecnico di Torino (IT), University of Bologna (IT)
Ministero dell’Istruzione, dell’Università e della Ricerca
Openalex Percentile: Top 16%
Advanced Sensor and Energy Harvesting Materials
2.02
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