LIBS combined with TrAdaBoost based transfer learning for quantitative analysis of heavy metals in soil particles
In this study, a rapid quantitative method combining LIBS with transfer learning is proposed, effectively improving the accuracy of in situ and online analysis of heavy metals in soil particulate samples.
Authors
- Maogang Li (ORCID: https://orcid.org/0000-0002-0375-1438)
- Xuedong Chen (ORCID: https://orcid.org/0000-0001-9459-8418)
- Mengfan Zhang (ORCID: https://orcid.org/0000-0003-0746-0221)
- Hua Li (ORCID: https://orcid.org/0000-0001-6618-7216)
- Tianlong Zhang (ORCID: https://orcid.org/0000-0003-4289-5052)
- Chunhua Yan (ORCID: https://orcid.org/0000-0003-3994-6920)
- Kui Zhou
Institutions
- Ministry of Education of the People's Republic of China (CN)
- Xi'an Shiyou University (CN)
- Northwest University (CN)
Publication Details
- Journal
- Journal of Analytical Atomic Spectrometry
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5ja00227c
- Primary Topic
- Laser-induced spectroscopy and plasma
- Type
- article
- Field-Weighted Citation Impact
- 0.00