Solvated ion transport in hierarchical tremella-like ionic membranes for low-power and high-sensitivity ethanol sensing

Biological olfactory perception relies on ionic transport, offering a promising alternative to conventional gas sensors that depend on electronic signal transmission, which often suffer from limitations such as limited sensitivity, high power consumption, and susceptibility to moisture. Inspired by biological olfactory ion channels, nanochannel-based ionic membranes incorporating 2D materials and ionic liquids have been developed. Through functional modifications, these membranes exhibit unique tremella-like structures that optimize gas diffusion pathways and provide effective gas interaction sites. The developed membranes demonstrate exceptional performance, including a low detection limit of 189 ppb, a remarkable sensitivity of 2.02% ppm<sup>-1</sup> across 5-500 ppm, specific selectivity to ethanol, stable reversibility over 100 cycles, and ultralow power consumption of only 0.28 μW. Experimental and simulation results confirm that the enhanced sensing performance stems from solvated ion transport within nanoconfined channels. Notably, the membranes maintain detection efficiency under varying humidity conditions, demonstrating practical applicability in both food quality assessment (30-40% RH) and intoxicated driving monitoring (80-90% RH). It is envisioned that the deepened understanding of solvated ion transport within nanoconfined channels will advance the development of bioinspired olfactory perception and integrated sensing systems.

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Publication Details

Journal
Materials Horizons
Published
2025-01-01
DOI
https://doi.org/10.1039/d5mh01249j
Citations
2
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
1.35

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article

Solvated ion transport in hierarchical tremella-like ionic membranes for low-power and high-sensitivity ethanol sensing

Qi Song, Lei Jiang, Hong Liu, Lingyun Xu et al.
2 citations
Materials Horizons
Advanced Chemical Sensor Technologies
1.35
article

Solvated ion transport in hierarchical tremella-like ionic membranes for low-power and high-sensitivity ethanol sensing

Qi Song, Lei Jiang, Hong Liu, Lingyun Xu, Yupeng Chen, Zhihao Zhao, Xiaohan Sun, Xiangyu Jiang, Zhenya Ge
article en
2 citations

Abstract

Biological olfactory perception relies on ionic transport, offering a promising alternative to conventional gas sensors that depend on electronic signal transmission, which often suffer from limitations such as limited sensitivity, high power consumption, and susceptibility to moisture. Inspired by biological olfactory ion channels, nanochannel-based ionic membranes incorporating 2D materials and ionic liquids have been developed. Through functional modifications, these membranes exhibit unique tremella-like structures that optimize gas diffusion pathways and provide effective gas interaction sites. The developed membranes demonstrate exceptional performance, including a low detection limit of 189 ppb, a remarkable sensitivity of 2.02% ppm<sup>-1</sup> across 5-500 ppm, specific selectivity to ethanol, stable reversibility over 100 cycles, and ultralow power consumption of only 0.28 μW. Experimental and simulation results confirm that the enhanced sensing performance stems from solvated ion transport within nanoconfined channels. Notably, the membranes maintain detection efficiency under varying humidity conditions, demonstrating practical applicability in both food quality assessment (30-40% RH) and intoxicated driving monitoring (80-90% RH). It is envisioned that the deepened understanding of solvated ion transport within nanoconfined channels will advance the development of bioinspired olfactory perception and integrated sensing systems.

Materials HorizonsVol. 12(23)
Chinese Academy of Sciences (CN), Beijing Forestry University (CN), Technical Institute of Physics and Chemistry (CN), National Center for Nanoscience and Technology (CN), Beihang University (CN)
National Natural Science Foundation of China, Beijing Municipal Natural Science Foundation, Fundamental Research Funds for the Central Universities
Zero hunger
Openalex Percentile: Top 19%
Advanced Chemical Sensor Technologies
1.35
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