Decoupling multiphysics interference for precise, real-time piezoresistive airflow sensing by integrated laser-induced graphene system
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.
Authors
- Ruquan Ye (ORCID: https://orcid.org/0000-0002-2543-9090)
- Xinge Yu (ORCID: https://orcid.org/0000-0003-0522-1171)
- Chun Ki Yiu (ORCID: https://orcid.org/0000-0003-3841-5327)
- 苏建举
- Yinger Xin (ORCID: https://orcid.org/0000-0003-0071-6685)
- Ge Ye
- Hao Hu (ORCID: https://orcid.org/0000-0003-2125-2496)
- Libei Huang (ORCID: https://orcid.org/0000-0001-7116-0181)
- Zihao Li (ORCID: https://orcid.org/0000-0001-9008-1681)
- Qiang Zhang (ORCID: https://orcid.org/0000-0003-2325-3011)
- Le Cheng (ORCID: https://orcid.org/0000-0001-6950-9698)
- Mingming He (ORCID: https://orcid.org/0009-0004-1602-3765)
- Weihua Guo (ORCID: https://orcid.org/0000-0003-4884-8054)
- Yun Song
Institutions
- Department of Health (CN)
- Hong Kong Polytechnic University (HK)
- City University of Hong Kong (HK)
- Hong Kong Science and Technology Parks Corporation (HK)
- City University of Hong Kong, Shenzhen Research Institute (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- Science Advances
- Published
- 2026-09-11
- DOI
- https://doi.org/10.1126/sciadv.aee6204
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- City University of Hong Kong
- Science, Technology and Innovation Commission of Shenzhen Municipality
- Hong Kong Jockey Club