TY - JOUR
T1 - Sufficient Gas and Solvated Ion Transport Assisted Rapid NH3 Detection at Room Temperature Through Bionic Olfactory Fibres
AU - Liu, Hongyang
AU - Xu, Lingyun
AU - Sun, Xiaohan
AU - Zhao, Zhihao
AU - Song, Qi
AU - Wang, Weijie
AU - Chen, Zhe
AU - Xiang, Gongmo
AU - Chen, Yupeng
AU - Zhao, Fanrong
AU - Jiang, Xiangyu
AU - Jiang, Lei
N1 - Publisher Copyright:
© 2026 The Author(s). Exploration published by Henan University and John Wiley & Sons Australia, Ltd.
PY - 2026
Y1 - 2026
N2 - The human olfactory sensing system, based on ionic signal transmission, is featured with fastness, high efficiency and low energy consumption. However, bionic gas sensing materials exhibit performance limitations compared to materials based on electronic signal transmission. Herein, bionic olfactory fibres are prepared by electrospinning for rapid gas sensing at the ppb level, which consist of confined ionic liquids (ILs) within nano spacing in a polymer matrix. The fibres showed a high response (69.29%) to 500 ppb NH3, ultrafast response (4 s) and a low theoretical limit of detection (45 ppb). The excellent sensing performance is attributed to the sufficient gas transport pathways formed by gas convection within the fibrous pore structures. In addition, the rapid transport of solvated ions, caused by the encapsulation of target molecules around ILs in the confined nano spacing, also plays a role, as confirmed by experimental and simulation results. Moreover, bionic olfactory fibres demonstrate excellent gas cyclic stability, mechanical robustness and humidity resistance, which makes them highly suitable for disease diagnosis and seafood spoilage detection in humid environments. Using AI-driven data analysis on gas response from shrimp spoilage, 95% test accuracy was attained, enabling precise seafood freshness monitoring. This work provides a novel platform for intelligent gas perception through hardware-software codesign, showing promising potential to create bioinspired integrated sensing systems combining gas and solvated ion transport mediation with AI for decision-making analysis.
AB - The human olfactory sensing system, based on ionic signal transmission, is featured with fastness, high efficiency and low energy consumption. However, bionic gas sensing materials exhibit performance limitations compared to materials based on electronic signal transmission. Herein, bionic olfactory fibres are prepared by electrospinning for rapid gas sensing at the ppb level, which consist of confined ionic liquids (ILs) within nano spacing in a polymer matrix. The fibres showed a high response (69.29%) to 500 ppb NH3, ultrafast response (4 s) and a low theoretical limit of detection (45 ppb). The excellent sensing performance is attributed to the sufficient gas transport pathways formed by gas convection within the fibrous pore structures. In addition, the rapid transport of solvated ions, caused by the encapsulation of target molecules around ILs in the confined nano spacing, also plays a role, as confirmed by experimental and simulation results. Moreover, bionic olfactory fibres demonstrate excellent gas cyclic stability, mechanical robustness and humidity resistance, which makes them highly suitable for disease diagnosis and seafood spoilage detection in humid environments. Using AI-driven data analysis on gas response from shrimp spoilage, 95% test accuracy was attained, enabling precise seafood freshness monitoring. This work provides a novel platform for intelligent gas perception through hardware-software codesign, showing promising potential to create bioinspired integrated sensing systems combining gas and solvated ion transport mediation with AI for decision-making analysis.
KW - bioinspired integrated sensing system
KW - bionic olfactory sensing
KW - gas transport pathway
KW - ionic signal transmission
KW - wet NH detection
UR - https://www.scopus.com/pages/publications/105041633034
U2 - 10.1002/EXP.20250609
DO - 10.1002/EXP.20250609
M3 - 文章
AN - SCOPUS:105041633034
SN - 2766-8509
JO - Exploration
JF - Exploration
ER -