Dynamics and Crosstalks of H <sub>2</sub> S and H <sub>2</sub> O <sub>2</sub> Signaling in Plant Abiotic Stress Response Deciphered by a Disposable SERS Sensing Patch
in tomatoes and rice both had specific dynamic change rules, and there was a complex cross-regulation mechanism between them. By combining sensor data with partial least squares discriminant analysis (PLS-DA), the classification accuracy of stress types exceeds 95%. This non-destructive and highly sensitive detection system can provide real-time dynamic data of stress signals, bringing a breakthrough to the in-situ monitoring of plant physiological states.
Authors
- Leyi Chen (ORCID: https://orcid.org/0000-0002-7090-3788)
- HongLin Liu
- Jinai Chen
Institutions
- Hefei University of Technology (CN)
Publication Details
- Journal
- ACS Sensors
- Published
- 2026-04-27
- DOI
- https://doi.org/10.1021/acssensors.6c01065
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Fundamental Research Funds for the Central Universities