Ensemble deep kernel PLS regression method for full-spectrum multi-component LIBS quantitative analysis of Mars surface oxides

Haoyang Yu, Haonan Xie, Qian Huang, Zhaohui Jiang, Dong Pan and Weihua Gui

J. Anal. At. Spectrom., 2026, 41, 1240
DOI: 10.1039/D6JA00040A

Combination of hyperspectral imaging and machine learning models for fast characterization and classification of municipal solid waste

Junyu Tao, Yude Gu, Xiaoling Hao, Rui Liang, Biyu Wang, Zhanjun Cheng, Beibei Yan and Guanyi Chen

Resources, Conservation and Recycling, 2023, 188, 106731
DOI: 10.1016/j.resconrec.2022.106731

Determination of alkali metal elements in solid biomass fuel by laser-induced breakdown spectroscopy: Analysis and reduction of chemical matrix effects

Chengjun Li, Zhimin Lu, Jinzheng Chen, Ziyu Yu, Qi Yang, Huaiqing Qin, Xiwen Xing, Qingxiang Ma and Shunchun Yao

Analytica Chimica Acta, 2025, 1337, 343568
DOI: 10.1016/j.aca.2024.343568

Evaluation and Optimization of an X-ray Fluorescence Analyzer for Rapid Analysis of Chemical Elements in Solid Biofuels

Felix Endriss, Daniel Kuptz, Dirk Wissmann, Hans Hartmann, Elke Dietz, Andreas Kappler and Harald Thorwarth

Energy Fuels, 2024, 38, 16426
DOI: 10.1021/acs.energyfuels.4c01771

Quantitative Spectroscopic Characterization of Fuel Properties of Carbon-Based Materials Using Machine Learning

Pengju Yin, Chenyao Feng, Xinyuan Wang, Yumeng Xiao, Xiaoyao Wu, Dmitriy Klyuyev, Zhuo Wu, Yiping Zhao and Bo Hu

Anal. Chem., 2026, 98, 10195
DOI: 10.1021/acs.analchem.5c07322

Model transfer method based on piecewise direct standardization in laser-induced-breakdown spectroscopy

Ge Xie, Lanxiang Sun, Dong Shang, Yuan Gao, Xin Ling and Xiuye Liu

Appl. Opt., 2022, 61, 9069
DOI: 10.1364/AO.471891

Quantitative Analysis of High-Price Rice Adulteration Based on Near-Infrared Spectroscopy Combined with Chemometrics

Mengting Chen, Jiahui Song, Haiyan He, Yue Yu, Ruoni Wang, Yue Huang and Zhanming Li

Foods, 2024, 13, 3241
DOI: 10.3390/foods13203241

Laser-induced breakdown spectroscopy combined with principal component analysis-based support vector machine for rapid classification of coal from different mining areas

Haoyu Jin, Xiaojian Hao and Yanwei Yang

Optik, 2023, 286, 170990
DOI: 10.1016/j.ijleo.2023.170990

Laser-induced breakdown spectroscopy in China over the past decade: A first-principles and problem-oriented review

Shu Chen, Weilun Gu, Zongyu Hou, Yihan Lyu, Hongbin Ding, Lanxiang Sun, Ye Tian, Qianqian Wang, Lianbo Guo, Lei Zhang, Shunchun Yao, Duixiong Sun and Zhe Wang

Frontiers of Physics, 2026, 21, 086301
DOI: 10.15302/frontphys.2026.086301

A review of laser-induced breakdown spectroscopy and spontaneous emission techniques in monitoring thermal conversion of fuels

Meirong Dong, Junbin Cai, Hongchuan Liu, Junchang Xiong, Gangfu Rao, Shunchun Yao and Jidong Lu

Spectrochimica Acta Part B: Atomic Spectroscopy, 2023, 210, 106807
DOI: 10.1016/j.sab.2023.106807

Machine learning in laser-induced breakdown spectroscopy: A review

Zhongqi Hao, Ke Liu, Qianlin Lian, Weiran Song, Zongyu Hou, Rui Zhang, Qianqian Wang, Chen Sun, Xiangyou Li and Zhe Wang

Front. Phys., 2024, 19
DOI: 10.1007/s11467-024-1427-2