1D Conductive Metal‐Organic Framework‐Enabled Dual‐Parameter MEMS Gas Sensor for Thermal Runaway Monitoring

Abstract The electric vehicle industry faces safety challenges from battery thermal runaway, necessitating real‐time monitoring of multi‐parameter signals like gas concentration and temperature in oxygen‐free environments. This study introduces dual‐parameter micro‐electro‐mechanical system (MEMS) sensors based on 1D conductive metal‐organic frameworks (MOFs) – MBTA (M = Cu or Ni). Synthesized via room‐temperature wet chemical coordination polymerization using 1,2,4,5‐benzenetetramine ligands and transition metals, these chain‐structured MOFs exhibit dual sensitivity to carbon monoxide (CO) and temperature. The MBTA films are grown in situ on 4‐channel MEMS devices through vapor diffusion, creating gas‐temperature sensors. Under anhydrous, oxygen‐free conditions, the sensors achieve low CO detection limits with high selectivity and stability, while demonstrating linear temperature responses across 20–120 °C. Polydimethylsiloxane encapsulation isolates the CO‐sensing channels from temperature‐detection channels, enabling decoupled parameter measurements. Integrated with data processing and wireless transmission modules, the system supports remote environmental monitoring. This work advances multimodal sensing mechanisms with temperature compensation and lays the groundwork for wireless real‐time monitoring systems, significantly enhancing thermal runaway early‐warning capabilities in lithium‐ion batteries. The design strategy provides insights for developing multifunctional sensing materials and safety management technologies in energy storage applications.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-09-21
DOI
https://doi.org/10.1002/adfm.202511152
Citations
1
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

1D Conductive Metal‐Organic Framework‐Enabled Dual‐Parameter MEMS Gas Sensor for Thermal Runaway Monitoring

Min Zeng, Qijie Wang, Jingzhu Li, Yuyang Wang et al.
1 citations
Advanced Functional Materials
Gas Sensing Nanomaterials and Sensors
0.73
article

1D Conductive Metal‐Organic Framework‐Enabled Dual‐Parameter MEMS Gas Sensor for Thermal Runaway Monitoring

Min Zeng, Qijie Wang, Jingzhu Li, Yuyang Wang, Jian Wu, Xue Liu, Jianhua Yang, Nantao Hu, Zhi Yang
article en
1 citations

Abstract

Abstract The electric vehicle industry faces safety challenges from battery thermal runaway, necessitating real‐time monitoring of multi‐parameter signals like gas concentration and temperature in oxygen‐free environments. This study introduces dual‐parameter micro‐electro‐mechanical system (MEMS) sensors based on 1D conductive metal‐organic frameworks (MOFs) – MBTA (M = Cu or Ni). Synthesized via room‐temperature wet chemical coordination polymerization using 1,2,4,5‐benzenetetramine ligands and transition metals, these chain‐structured MOFs exhibit dual sensitivity to carbon monoxide (CO) and temperature. The MBTA films are grown in situ on 4‐channel MEMS devices through vapor diffusion, creating gas‐temperature sensors. Under anhydrous, oxygen‐free conditions, the sensors achieve low CO detection limits with high selectivity and stability, while demonstrating linear temperature responses across 20–120 °C. Polydimethylsiloxane encapsulation isolates the CO‐sensing channels from temperature‐detection channels, enabling decoupled parameter measurements. Integrated with data processing and wireless transmission modules, the system supports remote environmental monitoring. This work advances multimodal sensing mechanisms with temperature compensation and lays the groundwork for wireless real‐time monitoring systems, significantly enhancing thermal runaway early‐warning capabilities in lithium‐ion batteries. The design strategy provides insights for developing multifunctional sensing materials and safety management technologies in energy storage applications.

Advanced Functional MaterialsVol. 36(7)
Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 23%
Gas Sensing Nanomaterials and Sensors
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.