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Development and application of a rapid coal calorific value analyzer based on NIRS-XRF

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

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Quantitative measurement of the mixture ratio for ADN-based liquid propellants using laser-induced breakdown spectroscopy

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A transferred multitask regularization convolutional neural network (TrMR-CNN) for laser-induced breakdown spectroscopy quantitative analysis

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Classification of ginseng according to plant species, geographical origin, and age using laser-induced breakdown spectroscopy and hyperspectral imaging

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Multi-element signal enhancement mechanism investigation for laser ablation-assisted ultraviolet laser excited atomic fluorescence

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Spatially and temporally resolved evaluation of local thermodynamic equilibrium for laser-induced plasma in a high vacuum

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The influences of ambient humidity on laser-induced breakdown spectroscopy

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Online identification and classification of Gannan navel oranges with Cu contamination by LIBS with IGA-optimized SVM

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Image deep learning-driven granularity effect correction: a novel approach to improve the accuracy of NIRS-XRF coal quality analysis

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Determination of La in ore using laser-induced breakdown spectroscopy combined with laser-induced fluorescence and standard addition method

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Improved measurement in quantitative analysis of coal properties using laser induced breakdown spectroscopy

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An ensemble model for rapid quantitative determination of vanadium (V) in petroleum coke by laser-induced breakdown spectroscopy

Hongkun Du, Tengfei Sun, Shaoying Ke, Dongfeng Qi, Wei Zhang, Juan Wei, Bing Yang and Hongyu Zheng

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Research progress and challenges of laser-induced breakdown spectroscopy (LIBS) technology in the field of marine exploration

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Laser-ablation dependence of fiber-laser-based laser-induced breakdown spectroscopy for determining Cu, Mg, and Mn elements in aluminum alloys

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Enhancing multi-type coal quality prediction accuracy with fusion spectra and classification models using NIRS and XRF techniques

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Determining available potassium in soil by laser-induced breakdown spectroscopy combined with cation exchange membrane adsorption

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An image auxiliary method for laser-induced breakdown spectroscopy analysis of coal particle flow

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Atomic spectrometry update – a review of advances in environmental analysis

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Correction of moisture interference in laser-induced breakdown spectroscopy detection of coal by combining neural networks and random spectral attenuation

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Fast analysis of metal components in coal dust using spark emission spectroscopy

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High-accuracy quantitative analysis of coal by small sample modelling algorithm based laser induced breakdown spectroscopy

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A novel method for correcting the effect of the lens-to-sample distance change on the signal intensity in laser-induced breakdown spectroscopy

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Development and industrial application of LIBS-XRF coal quality analyzer by combining PCA and PLS regression methods

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Optimizing the quantitative analysis of solid biomass fuel properties using laser induced breakdown spectroscopy (LIBS) coupled with a kernel partial least squares (KPLS) model

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Interpreting neural networks trained to predict plasma temperature from optical emission spectra

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Validated ensemble variable selection of laser-induced breakdown spectroscopy data for coal property analysis

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Ultra-repeatability measurement of calorific value of coal by NIRS-XRF

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Multiple-element analysis of coal using collinear double-pulse laser-induced breakdown spectroscopy

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Improving quantitative analysis of cement elements in laser-induced breakdown spectroscopy through combining matrix matching with regression

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The high-accuracy prediction of carbon content in semi-coke by laser-induced breakdown spectroscopy

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Plasma modulation using beam shaping to improve signal quality for laser induced breakdown spectroscopy

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Metal acetylacetonates dissolved in UV-curing resin as solid reference material for trace element measurements in organic samples

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The standardization and application of an external (in air) particle induced gamma emission (PIGE) method for the rapid and non-destructive quantification of light elements at major to trace concentrations in coal, bottom ash and coke samples

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Study on the spectral characteristics and analytical performance of pulverized coal using laser-induced breakdown spectroscopy under a fast physical constraint

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Influence of gas flow on elemental analysis using a tandem femtosecond LIBS and LA-ICPMS system

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J. Anal. At. Spectrom., 2026, 41, 1042
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Quantitative performance improvement using beam shaping plasma modulation for uranium detection in di-uranate using laser-induced breakdown spectroscopy

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Comparison of the matrix effect in laser induced breakdown spectroscopy analysis of coal particle flow and coal pellets

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Industrial applications of laser-induced breakdown spectroscopy: a review

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Ultra-repeatability measurement of the coal calorific value by XRF assisted LIBS

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Laser-induced breakdown spectroscopy for quantitative and qualitative analysis of the ash fusion temperatures of coal in power plants

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A physical modification and spectrum-image fusion dual-dimensional method for coal analysis using LIBS

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High spectral stability and quantitative accuracy of LIBS by optimization of a combined atomic and ionic line algorithm

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Incorporating empirical knowledge into data-driven variable selection for quantitative analysis of coal ash content by laser-induced breakdown spectroscopy

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Plasma Sci. Technol., 2024, 26, 075509
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Research on improving the accuracy of laser-induced breakdown spectroscopy analysis by considering plasma attenuation rate characteristics

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Exploiting Data Uncertainty for Improving the Performance of a Quantitative Analysis Model for Laser-Induced Breakdown Spectroscopy

Huaiqing Qin, Ziyu Yu, Zhimin Lu, Zhuliang Yu and Shunchun Yao

Appl Spectrosc, 2022, 76, 1123
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Rapid quantitative analysis of coal composition using laser-induced breakdown spectroscopy coupled with random forest algorithm

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Chemical Characterization of Coal: Quality Control and Applications of Nuclear Analytical Methods Utilizing Neutrons (Thermal and Fast) and Low Energy Protons from Accelerators

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ChemistrySelect, 2024, 9
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Rapid and high-resolution visualization elements analysis of material surface based on laser-induced breakdown spectroscopy and hyperspectral imaging

Shangyong Zhao, Yuchen Zhao, Zongyu Hou and Zhe Wang

Applied Surface Science, 2023, 629, 157415
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Direct process accompanying analysis of plant-based biomass samples for critical elements in combusting processes with ETV-ICP-OES

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Biomass Futures, 2026, 1, 100027
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Study on the spectra of Tieguanyin tea and ash by laser-induced breakdown spectroscopy

Jingwen Li, Lixing Yao, Li Shen and Cong Wang

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Quantitative Detection of Chromium Pollution in Biochar Based on Matrix Effect Classification Regression Model

Mei Guo, Rongguang Zhu, Lixin Zhang, Ruoyu Zhang, Guangqun Huang and Hongwei Duan

Molecules, 2021, 26, 2069
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Extended total number density compensation for uranium determination by laser-induced breakdown spectroscopy

Weilun Gu, Zongyu Hou, Weiran Song, Jianxun Ji, Xiang Yu, Jiacen Liu, Yuzhou Song, Zheng Li and Zhe Wang

Analytica Chimica Acta, 2024, 1288, 342167
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Development of laser-induced breakdown spectroscopy based spectral tandem technology: A topical review

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Kinetic Evolution of Laser Ablating Alloy Materials

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Stability and Accuracy Improvement of Element Analysis in Steel Alloys Using Polarization-Resolved Laser-Induced Breakdown Spectroscopy

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SSRN Journal, 2022
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Investigation of grain sizes in cement-based materials and their influence on laser-induced plasmas by shadowgraphy and plasma imaging

C. Gottlieb, A. Gojani, T. Völker, T. Günther, I. Gornushkin, G. Wilsch and J. Günster

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A method for improving the accuracy of calibration-free laser-induced breakdown spectroscopy by exploiting self-absorption

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A CNN-based regression framework for estimating coal ash content on microscopic images

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Compensation for the variation of total number density to improve signal repeatability for laser-induced breakdown spectroscopy

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Cross-modal feature fusion and distillation for enhanced quantification accuracy in laser-induced breakdown spectroscopy and near-infrared spectroscopy

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On the Spectral Identification and Wavelength Dependence of Rare-Earth Ore Emission by Laser-Induced Breakdown Spectroscopy

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Chemosensors, 2022, 10, 350
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Identification of metals and alloys using color CCD images of laser-induced breakdown emissions coupled with machine learning

Linga Murthy Narla and S. Venugopal Rao

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Detection of Carbon Content from Pulverized Coal Using LIBS Coupled with DSC-PLS Method

Congrong Guan, Tianyu Wu, Jiwen Chen and Ming Li

Chemosensors, 2022, 10, 490
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Development in the application of laser-induced breakdown spectroscopy in recent years: A review

Lian-Bo Guo, Deng Zhang, Lan-Xiang Sun, Shun-Chun Yao, Lei Zhang, Zhen-Zhen Wang, Qian-Qian Wang, Hong-Bin Ding, Yuan Lu, Zong-Yu Hou and Zhe Wang

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Improved signal stability using an auxiliary flow-based chamber for aerosol laser-induced breakdown spectroscopy

Muhammad Sher Afgan, Sahar Sheta, Yuzhou Song, Weilun Gu and Zhe Wang

Spectrochimica Acta Part B: Atomic Spectroscopy, 2021, 180, 106204
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Efficient and anti-interference plastic classification method suitable for one-shot learning based on laser induced breakdown spectroscopy

Zhiying Xu, Xingyu Zhao, Xinying Peng, Kai Wang, Kedong Wang, Nan Zhao, Jiaming Li, Qingmao Zhang, Xueqing Yan and Kun Zhu

Chemosphere, 2025, 378, 144412
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A temporal and spatial dual-dimension fusion spectra mapping method for rapid detection of coal quality in laser-induced breakdown spectroscopy

Xuechen Niu, Feiyu Guan, Zixuan Li, Shao Fan, Zhuo Xiong, Junfei Nie, Deng Zhang and Lianbo Guo

Talanta, 2025, 293, 128106
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Detection Improvement of Unburned Carbon Content in Fly Ash Flow Using LIBS with a Two-Stage Cyclone Measurement System

Zhenzhen Wang, Renwei Liu, Yoshihiro Deguchi, Seiya Tanaka, Kazuki Tainaka, Kenji Tanno, Hiroaki Watanabe, Junjie Yan and Jiping Liu

Energy Fuels, 2019, 33, 7805
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Plasma parameters correction method based on plasma image-spectrum fusion for matrix effect elimination in LIBS

Deng Zhang, Xuechen Niu, Junfei Nie, Shengqun Shi, Honghua Ma and Lianbo Guo

Opt. Express, 2024, 32, 10851
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Coal classification and analysis based on shadowgraphy and deep learning methods

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The Emerging Role of LIBS Technology in the Mining Industry: A Review

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Mining, Metallurgy & Exploration, 2026
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Evaluation of femtosecond laser-induced breakdown spectroscopy system as an offline coal analyzer

Sahar Sheta, Zongyu Hou, Yun Wang and Zhe Wang

Sci Rep, 2021, 11
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Review of Element Analysis of Industrial Materials by In-Line Laser—Induced Breakdown Spectroscopy (LIBS)

Johannes D. Pedarnig, Stefan Trautner, Stefan Grünberger, Nikolaos Giannakaris, Simon Eschlböck-Fuchs and Josef Hofstadler

Applied Sciences, 2021, 11, 9274
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Mechanism of Unfrozen Water Content Evolution during Melting of Cryogenic Frozen Coal Body Based on 2D NMR

Tong Liu, Xian Zhang, Lei Qin, Baiquan Lin, Miao Mu, Wei Yang, Shiyin Lv and Jiawei Li

Applied Sciences, 2024, 14, 5182
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Laser-Induced Breakdown Spectroscopy and a Convolutional Neural Network Model for Predicting Total Iron Content in Iron Ores

Yue Jin, Shu Liu, Hong Min, Chenglin Yan, Piao Su, ZhuoMin Huang, Yarui An and Chen Li

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Current trends in laser-induced breakdown spectroscopy: a tutorial review

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LIBS-XRF联用多光谱煤质分析仪的研制与应用（特邀）

田志辉 TIAN Zhihui, 王树青 WANG Shuqing, 张雷 ZHANG Lei, 张培华 ZHANG Peihua, 叶泽甫 YE Zefu, 朱竹军 ZHU Zhujun, 董磊 DONG Lei, 马维光 MA Weiguang, 尹王保 YIN Wangbao, 肖连团 XION Liantuan and 贾锁堂 JIA Suotang

光子学报, 2023, 52, 0352109
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Insights into Enhanced Repeatability of Femtosecond Laser-Induced Plasmas

Sahar Sheta, Muhammad Sher Afgan, Liu Jiacen, Weilun Gu, Zongyu Hou and Zhe Wang

ACS Omega, 2020, 5, 30425
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A synchronized LIBS-NIRS analysis method for coal properties featured with detection distance correction

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Talanta, 2026, 299, 129051
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Improving the accuracy of high-repetition-rate LIBS based on laser ablation and scanning parameters optimization

Haochen Li, Tianyuan Liu, Yuchao Fu, Wanxiang Li, Meng Zhang, Xi Yang, You Wang and Meizhen Huang

Opt. Express, 2022, 30, 37470
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Fast measurement of coking properties of coal using laser induced breakdown spectroscopy

Zongyu Hou, Zhe Wang, Liang Li, Xiang Yu, Tianxi Li, Huaiwei Yao, Gangyao Yan, Qing Ye, Zijun Liu and Hongqi Zheng

Spectrochimica Acta Part B: Atomic Spectroscopy, 2022, 191, 106406
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Individual micron-sized coal aerosol particle for quantitative analysis based on hollow laser trapping-LIBS and machine learning

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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
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Long-term repeatability improvement using beam intensity distribution for laser-induced breakdown spectroscopy

Jiacen Liu, Weiran Song, Weilun Gu, Zongyu Hou, Kaikai Kou and Zhe Wang

Analytica Chimica Acta, 2023, 1251, 341004
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Effect of ambient pressures on laser-induced breakdown spectroscopy signals

Kaifan Zhang, Weiran Song, Zongyu Hou and Zhe Wang

Front. Phys., 2024, 19
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Time-resolved spectral-image laser-induced breakdown spectroscopy for precise qualitative and quantitative analysis of milk powder quality by fully excavating the matrix information

Deng Zhang, Junfei Nie, Xuechen Niu, Feng Chen, Zhenlin Hu, Xuelin Wen, Yuqiong Li and Lianbo Guo

Food Chemistry, 2022, 386, 132763
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Advanced Multi-Parameter Prediction of Coal Quality Using LIBS and Ensemble Machine Learning Techniques

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