La‐Doped Mullite Bi <sub>2</sub> Fe <sub>4</sub> O <sub>9</sub> Chemiresistive Gas Sensor for Ultra‐Highly Selective Detection of Ethylene Glycol

Y Yuli Zhao (School of Materials Science and Engineering Jiangsu University Zhenjiang China) X Xiangzhao Zhang (School of Materials Science and Engineering Jiangsu University Zhenjiang China) M Mingyuan Wang L Linghu Meng (College of Materials Science and Engineering, State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle) M Mingsong Wang (School of Materials Science and Engineering Jiangsu University Zhenjiang China) S Shahid Hussain G Guanjun Qiao (School of Materials Science and Engineering Jiangsu University Zhenjiang China) G Guiwu Liu (School of Materials Science and Engineering Jiangsu University Zhenjiang China)

Abstract

ABSTRACT The detection of ethylene glycol (EG) vapor is critical for industrial safety and environmental monitoring, yet existing chemiresistive sensors suffer from limited selectivity and stability. Herein, a facile synthesis of lanthanum‐doped mullite bismuth ferrite mullite (La‐Bi 2 Fe 4 O 9 ) is presented. Atomic‐resolution imaging and microchemical analysis, in combination with theoretical calculations, confirm uniform Bi‐site doping, increased oxygen vacancy concentration, and enhanced gas adsorption. The optimized BLFO‐5 sensor demonstrates exceptional EG‐sensing performance, with ultrahigh selectivity, outstanding reproducibility and long‐term stability, and an ultralow detection limit. By integrating in situ infrared spectroscopy and density functional theory (DFT) calculations, we elucidate the EG surface oxidization reaction mechanism, revealing significantly enhanced dehydrogenation kinetics and a complete oxidation pathway. Moreover, we develop a wearable real‐time gas monitoring platform for practical validation and incorporate deep learning algorithms to improve gas recognition accuracy. This work presents an integrated strategy for chemical gas sensing that combines material defect engineering, mechanistic understanding, and functional device development, enabling wireless EG quantification in complex environments.

Article Details

Volume / Issue Vol. 38, Issue 10
Published February 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (8)

Y

Yuli Zhao

School of Materials Science and Engineering Jiangsu University Zhenjiang China

X

Xiangzhao Zhang

School of Materials Science and Engineering Jiangsu University Zhenjiang China

M

Mingyuan Wang

L

Linghu Meng

College of Materials Science and Engineering, State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle

M

Mingsong Wang

School of Materials Science and Engineering Jiangsu University Zhenjiang China

S

Shahid Hussain

G

Guanjun Qiao

School of Materials Science and Engineering Jiangsu University Zhenjiang China

G

Guiwu Liu

School of Materials Science and Engineering Jiangsu University Zhenjiang China