Evidence map›Paper›PMID 42280072›Full record

ArticleMaterials (Basel, Switzerland)2026

Design of MEMS Gas Sensors and Integration for Multiple Gas Classification for Lithium-Ion Battery Thermal Runaway Warning.

Haiping Liu, Sen Zhang, Shan Xue, Delong Liu, Zeyu Sun, Lianshi Li, Qi Zhang, Mingzhi Jiao

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Haiping LiuBeijing Institute of Mechanical Equipment, Beijing 100854, China.
Sen ZhangBeijing Institute of Mechanical Equipment, Beijing 100854, China.
Shan XueBeijing Institute of Mechanical Equipment, Beijing 100854, China.
Delong LiuBeijing Institute of Mechanical Equipment, Beijing 100854, China.
Zeyu SunBeijing Institute of Mechanical Equipment, Beijing 100854, China.
Lianshi LiBeijing Institute of Mechanical Equipment, Beijing 100854, China.
Qi ZhangCASIC Space Engineering Development Co., Ltd., Beijing 100080, China.
Mingzhi JiaoNational & Local Joint Engineering Laboratory for Internet Application Technology in Mines, Xuzhou 221116, China.ORCID 0000-0002-3082-0523

Funding

Ministry of Emergency Management of the People's Republic of China 2024EMST111107
6 · The paper itself

Abstract

Characteristic gas-based detection technology can facilitate the warning of lithium-ion battery thermal runaway with a high accuracy at an early stage. Microelectromechanical system (MEMS) metal-oxide-semiconductor (MOS) gas sensors have advantages of a low cost, a high accuracy, and low power consumption; therefore, they are ideal candidates for the lithium-ion battery thermal-runaway warning. MEMS MOS gas sensors are composed of a micro-hotplate and gas-sensitive materials. The micro-hotplate component strongly influences the device's mechanical and thermal properties. Initially, we used COMSOL to optimize the micro-hotplate component. Then, we fabricated the device based on the optimal micro-hotplate. Next, gas-sensitive materials made of ZnO and ZnO-Au were deposited on the micro-hotplate by radio-frequency magnetic sputtering. The self-made and commercial MEMS MOS sensors were integrated to form an electronic nose. The as-made electronic nose can classify hydrogen, ethylene, acetylene, methane, carbon monoxide, and ethanol with a maximum accuracy of 99.4% using gas response data acquired over only 20 s. The reported work can provide a solution for an early and accurate lithium-ion battery thermal runaway warning.

Indexed as

electronic nosesgas classificationlithium-ion battery thermal runawaymicro-hotplateMOS gas sensorZnO

Identifiers

PMID42280072
PMCPMC13258333

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.