Evidence map›Paper›PMID 42726859›Full record

ArticleScience advances2026

Decoupling multiphysics interference for precise, real-time piezoresistive airflow sensing by integrated laser-induced graphene system.

Zihao Li, Chunki Yiu, Libei Huang, Weihua Guo, Le Cheng, Hao Hu, Jianju Su, Yun Song, Mingming He, Yinger Xin and 4 more

Abstract read
In one paragraph

Article in Science advances, 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

14 authors.

Zihao LiDepartment of Chemistry, State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0001-9008-1681
Chunki YiuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong SAR, China.ORCID 0000-0003-3841-5327
Libei HuangDivision of Science, Engineering and Health Study, School of Professional Education and Executive Development, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Weihua GuoDepartment of Chemistry, State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong 999077, China.
Le ChengDepartment of Chemistry, State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong 999077, China.
Hao HuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong SAR, China.ORCID 0000-0003-2125-2496
Jianju SuDepartment of Chemistry, State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong 999077, China.
Yun SongDepartment of Chemistry, State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong 999077, China.
Mingming HeDepartment of Chemistry, State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong 999077, China.ORCID 0009-0004-1602-3765
Yinger XinDepartment of Chemistry, State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong 999077, China.
Qiang ZhangDepartment of Chemistry, State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0003-2325-3011
Ge YeDepartment of Chemistry, State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong 999077, China.
Xinge YuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong SAR, China.ORCID 0000-0003-0522-1171
Ruquan YeDepartment of Chemistry, State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0002-2543-9090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Airflow sensing underpins applications in environmental monitoring, industrial safety, and wearable health care. Piezoresistive airflow sensors offer a compact and energy-efficient solution, yet their accuracy is severely compromised by complex multiphysical field perturbations. Here, we report an integrated graphene-based system fabricated by in situ laser printing that simultaneously measures airflow, temperature, and humidity. We reveal that a standalone piezoresistive airflow sensor can incur substantial errors exceeding 100% under fluctuating environmental conditions. Through targeted surface functionalization and microstructural engineering, we develop a humidity-insensitive temperature sensor, a high-fidelity humidity sensor, and a piezoresistive airflow sensor. Integrating these components into a multiphysics decoupling model enables analytical separation of intertwined signals, markedly reducing airflow measurement errors to below 5%. The optimized platform achieves high-precision, low power consumption, and strong integration airflow sensing with stable output under real-time fluctuations. These capabilities further allow dual-parameter airflow communication, while the scalable, mask-free laser-printing process provides a pathway toward portable, multifunctional sensing systems.

Identifiers

PMID42726859
PMCPMC13564898

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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.