Detection of microplastics stress on rice seedling by visible/near-infrared hyperspectral imaging and synchrotron radiation Fourier transform infrared microspectroscopy
In conclusion, the combination of spectral technology and deep learning to capture the physiological and biochemical reactions of leaves could provide a rapid and interpretable method for detecting rice seedlings under MPs stress. This method could provide a solution for the early detection of external stress on other crops.
Authors
- Ziwei Song (ORCID: https://orcid.org/0000-0003-1782-0227)
- Chaojie Wei (ORCID: https://orcid.org/0000-0002-9426-2815)
- Hongxin Xie (ORCID: https://orcid.org/0000-0002-6268-4423)
- F. Z. Chen
- Yufeng Li (ORCID: https://orcid.org/0000-0002-5013-5849)
- Wei Wang (ORCID: https://orcid.org/0000-0001-6777-2441)
- Xiaorong Wang (ORCID: https://orcid.org/0000-0001-7241-8180)
Institutions
- Institute of High Energy Physics (CN)
- China Agricultural University (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-07-21
- DOI
- https://doi.org/10.3389/fpls.2025.1645490
- Citations
- 1
- Primary Topic
- Microplastics and Plastic Pollution
- Type
- article
- Field-Weighted Citation Impact
- 0.50
Funders
- National Natural Science Foundation of China
- China Scholarship Council