Bifunctional Flexible Eutectogel: Zinc Cell Dendrite Inhibition and Machine Learning‐Assisted Parkinson's Disease Monitoring

With the continuous development of flexible sensors and flexible energy storage devices, gel materials with good flexibility, toughness, and tunable properties have attracted wide attention. Deep eutectic solvents (DES) have an obvious advantage of thermal and chemical stability over water. Therefore, eutectogels can effectively solve the problem of insufficient stability of traditional hydrogels. In this paper, eutectogels with excellent electrochemical and sensing properties are prepared using acrylic acid (AA) and acrylamide (AM) as monomers and DES as a solvent. First, the eutectogel can guide zinc ions to preferentially deposit on the surface of (002) crystals, thus inhibiting the growth of dendrites and enabling the smooth operation of zinc-symmetric batteries for 800 h. Moreover, the eutectogel has sensitive sensing properties (gauge factor (GF) of 3.7) and excellent low dissipation performance (5.18 kJ m<sup>-3</sup>). The eutectogel can be used as a sensor for real-time monitoring of Parkinson's disease through machine learning (ML) techniques to effectively monitor the occurrence and severity of the disease. This work is expected to address the safety concerns of electrolyte dendrite growth in conventional zinc batteries, while providing innovative ideas for the integrated design of flexible sensors and high-safety energy storage systems.

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Publication Details

Journal
Small
Published
2025-09-09
DOI
https://doi.org/10.1002/smll.202508361
Citations
3
Primary Topic
Conducting polymers and applications
Type
article
Field-Weighted Citation Impact
1.82

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article

Bifunctional Flexible Eutectogel: Zinc Cell Dendrite Inhibition and Machine Learning‐Assisted Parkinson's Disease Monitoring

Hanqiang Liu, Wenlong Xu, Yinan Zhao, Song Zhou et al.
3 citations
Small
Conducting polymers and applications
1.82
article

Bifunctional Flexible Eutectogel: Zinc Cell Dendrite Inhibition and Machine Learning‐Assisted Parkinson's Disease Monitoring

Hanqiang Liu, Wenlong Xu, Yinan Zhao, Song Zhou, Shihui Qiu, Jing Nie, Shaohua Zhang, Xiaohan Hu, Tongtong Wang
article en
3 citations

Abstract

With the continuous development of flexible sensors and flexible energy storage devices, gel materials with good flexibility, toughness, and tunable properties have attracted wide attention. Deep eutectic solvents (DES) have an obvious advantage of thermal and chemical stability over water. Therefore, eutectogels can effectively solve the problem of insufficient stability of traditional hydrogels. In this paper, eutectogels with excellent electrochemical and sensing properties are prepared using acrylic acid (AA) and acrylamide (AM) as monomers and DES as a solvent. First, the eutectogel can guide zinc ions to preferentially deposit on the surface of (002) crystals, thus inhibiting the growth of dendrites and enabling the smooth operation of zinc-symmetric batteries for 800 h. Moreover, the eutectogel has sensitive sensing properties (gauge factor (GF) of 3.7) and excellent low dissipation performance (5.18 kJ m<sup>-3</sup>). The eutectogel can be used as a sensor for real-time monitoring of Parkinson's disease through machine learning (ML) techniques to effectively monitor the occurrence and severity of the disease. This work is expected to address the safety concerns of electrolyte dendrite growth in conventional zinc batteries, while providing innovative ideas for the integrated design of flexible sensors and high-safety energy storage systems.

SmallVol. 21(43)
Ludong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 14%
Conducting polymers and applications
1.82
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