Highly accurate classification of herbals relying on toxic elements <i>via</i> laser-induced breakdown spectroscopy and chemometrics
This study used normalized mutual information (NMI) and student psychology-based optimization-kernel extreme learning machine (SPBO-KELM) for accurate classification of herbals by toxic metal content.
Authors
- Xiangyou Li (ORCID: https://orcid.org/0000-0001-7079-1061)
- Qiyun Pan (ORCID: https://orcid.org/0000-0003-2309-6204)
- Chenwei Zhu
- Zhanjian Lin
Institutions
- Wuhan Polytechnic University (CN)
- Wuhan National Laboratory for Optoelectronics (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Journal of Analytical Atomic Spectrometry
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1039/d5ja00328h
- Primary Topic
- Laser-induced spectroscopy and plasma
- Type
- article
- Field-Weighted Citation Impact
- 0.00