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Sufficient Gas and Solvated Ion Transport Assisted Rapid NH3 Detection at Room Temperature Through Bionic Olfactory Fibres

  • Hongyang Liu
  • , Lingyun Xu
  • , Xiaohan Sun
  • , Zhihao Zhao
  • , Qi Song
  • , Weijie Wang
  • , Zhe Chen
  • , Gongmo Xiang
  • , Yupeng Chen*
  • , Fanrong Zhao*
  • , Xiangyu Jiang*
  • , Lei Jiang
  • *Corresponding author for this work
  • Beihang University
  • Beijing Forestry University
  • China Agricultural University
  • CAS - Technical Institute of Physics and Chemistry

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
JournalExploration
DOIs
StateAccepted/In press - 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • bioinspired integrated sensing system
  • bionic olfactory sensing
  • gas transport pathway
  • ionic signal transmission
  • wet NH detection

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