Machine learning in laser-induced breakdown spectroscopy: A review

Z Hao, K Liu, Q Lian, W Song, Z Hou, R Zhang… - Frontiers of …, 2024 - Springer
Laser-induced breakdown spectroscopy (LIBS) is a spectroscopic analytic technique with
great application potential because of its unique advantages for online/in-situ detection …

Application and Research Progress of Laser-Induced Breakdown Spectroscopy in Agricultural Product Inspection

L Wang, G Tolok, Y Fu, L Xu, L Li, H Gao, Y Zhou - ACS omega, 2024 - ACS Publications
The quality and safety of agricultural products are of paramount importance in ensuring the
health of the food supply chain. Additionally, the composition and trace elements in …

Determination of ash content, volatile matter, and calorific value in coal by OLS combined with laser-induced breakdown spectroscopy based on PC recombination

S Zhu, W Zhang, G Song, Y Li, B Hu, F Zhu… - Journal of Analytical …, 2023 - pubs.rsc.org
Coal quality analysis is important to promote the rational and sustainable utilization of coal
resources. The traditional method of selecting characteristic lines from the coal sample …

Atomic spectrometry update: review of advances in the analysis of metals, chemicals and materials

R Clough, A Fisher, B Gibson, B Russell - Journal of Analytical Atomic …, 2023 - pubs.rsc.org
This update covers the literature published between approximately June 2022 and April
2023 and is the latest part of a series of annual reviews. It is designed to provide the reader …

Analysis of deliquescent chloride salt by laser-induced breakdown spectroscopy with controlled uniform precipitation

L Kang, J Chen, Z Huang, Z Lin, R Zhang, B Lu… - Analytica Chimica Acta, 2024 - Elsevier
Background The electrolytic efficiency in magnesium (Mg) production by molten salt
electrolysis is mainly affected by the chloride content, which is determined by the metal …

A fitting method of unlabeled interference for spectra based on multi-stage cross optimization

Q Wan, H Zhu, C Yang, F Cheng, J Yuan, C Zhou - Measurement, 2025 - Elsevier
When constructing a spectral detection model for a substance, it will be very difficult to
ensure the accuracy of the model if there is an unlabeled interference in the spectrum. To …

[PDF][PDF] 激光诱导击穿光谱技术应用研究进展(特邀)

郭连波, 牛雪晨, 张猛胜, 周家缘, 张登… - ACTA PHOTONICA …, 2023 - researching.cn
激光诱导击穿光谱技术因其具有制样简单, 快速, 原位, 远程, 全元素同步分析等优点,
在煤炭检测, 冶金分析, 生物医学, 水质检测等领域具有重要的应用前景, 被誉为“未来分析化学 …

[HTML][HTML] Optimization of Artificial Intelligence Algorithm Selection: PIPRECIA-S Model and Multi-Criteria Analysis

S Popović, D Viduka, A Bašić, V Dimić, D Djukic… - Electronics, 2025 - mdpi.com
In the age of digitization and the ever-present use of artificial intelligence (AI), it is essential
to develop methodologies that enable the systematic evaluation and ranking of different AI …

Impact of external moisture on quantitative analysis of coal and rapid drying by a CO2 laser to improve prediction accuracy based on laser induced breakdown …

XD Liu, A Li, XY Zhang, YH Shan, YG He, W Yi… - Optics …, 2024 - opg.optica.org
For high-accuracy determination of ash, fixed carbon, and volatile matter in coal, generally,
the impact of external moisture content in coal must be considered and removed in …

Application of Semi-Supervised Learning Model to Coal Sample Classification

D Wang, L Xu, W Gao, H Xia, N Guo, X Ren - Applied Sciences, 2024 - mdpi.com
As an extremely important energy source, improving the efficiency and accuracy of coal
classification is important for industrial production and pollution reduction. Laser-induced …