Evidence map›Paper›PMID 42380092›Full record

ArticleMicrosystems & nanoengineering2026

AlGaN/GaN HEMT H₂ sensor with integrated Wheatstone bridge and on-chip microheater for 0.1-ppm detection.

Yu Yu, Yan Liu, Wenbin Ren, Yunpeng Liu, Yulong Zhang, Zihan Wang, Qiming Zhuo, Zewen Liu, Tao Wang, Jianwen Sun

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

10 authors.

Yu Yu *College of Integrated Circuits, Zhejiang University, Hangzhou, 311200, China.ORCID http://orcid.org/0009-0006-8369-8345
Yan Liu *College of Integrated Circuits, Zhejiang University, Hangzhou, 311200, China. liuyan2010@zju.edu.cn.
Wenbin RenHefei Megasensing Technology Co. Ltd, Hefei, 230000, China.
Yunpeng LiuHefei Megasensing Technology Co. Ltd, Hefei, 230000, China.
Yulong ZhangSchool of Integrated Circuits, Tsinghua University, Beijing, 100084, China.
Zihan WangHefei Megasensing Technology Co. Ltd, Hefei, 230000, China.
Qiming ZhuoHefei Megasensing Technology Co. Ltd, Hefei, 230000, China.
Zewen LiuSchool of Integrated Circuits, Tsinghua University, Beijing, 100084, China.
Tao WangCollege of Integrated Circuits, Zhejiang University, Hangzhou, 311200, China. twang@zju.edu.cn.
Jianwen SunHefei Megasensing Technology Co. Ltd, Hefei, 230000, China. sunjianwen@megasensing.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrogen (H₂) is a key clean-energy carrier in the transition to sustainable energy systems, but its extreme flammability and low ignition energy demand highly reliable leakage-monitoring technologies for safe deployment. This study presents a MEMS AlGaN/GaN high-electron-mobility transistor (HEMT) H₂ sensor that achieves high sensitivity and fast detection of trace hydrogen in air. The device implements a four-HEMT Wheatstone bridge-two Pd-gated sensing HEMTs and two passivated reference HEMTs-with an integrated microheater, all monolithically fabricated on a suspended GaN membrane. Pd-catalyzed H₂ dissociation and spillover lower the effective gate work function and modulate the Schottky barrier, and the differential readout suppresses common-mode drift. At 315 °C, the sensor achieves a limit of detection (LOD) of 0.1 ppm with a corresponding sensitivity of 1.48 mV/V/ppm. A combined device model and noise analysis further projects a detection limit approaching the ppb level. The baseline-corrected output is monotonic and well described by a four-parameter logistic model, thereby defining a practical, quantifiable working range of 0.1-1000 ppm (spanning four orders of magnitude). At 1000 ppm, the response and recovery times are 5.7 s and 26.2 s, respectively. The sensor exhibits high selectivity to H₂ with negligible cross-sensitivity to typical interferents (e.g., alcohols, SO₂, CH

Identifiers

PMID42380092
PMCPMC13319742

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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.