Laser induced breakdown spectroscopy for quantification of sodium and potassium in minced beef: a potential technique for detecting beef kidney adulteration

Y. Dixit, Maria P. Casado-Gavalda, R. Cama-Moncunill, X. Cama-Moncunill, Maria Markiewicz-Keszycka, P. J. Cullen and Carl Sullivan

Anal. Methods, 2017, 9, 3314
DOI: 10.1039/C7AY00757D

Identification of fluoroquinolone-resistant Mycobacterium tuberculosis through high-level data fusion of Raman and laser-induced breakdown spectroscopy

Gookseon Jeon, Soogeun Kim, Young Jin Kim, Seungmo Kim, Kyungmin Han, Kyunghwan Oh, Hee Joo Lee and Janghee Choi

Anal. Methods, 2024, 16, 6349
DOI: 10.1039/D4AY01331J

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

Simon Carter, Robert Clough, Andy Fisher, Bridget Gibson, Ben Russell and Julia Waack

J. Anal. At. Spectrom., 2018, 33, 1802
DOI: 10.1039/C8JA90039F

Chemometric sorting based on laser-induced plume fluorescence: characterization of spectral noise for effective preprocessing

Nai-Ho Cheung

J. Anal. At. Spectrom., 2019, 34, 616
DOI: 10.1039/C8JA00388B

Repeatability enhancing method for one-shot LIBS analysis via spectral intensity correction based on probability distribution

Fu Chang, Jianhong Yang, Huili Lu and Haixia Li

J. Anal. At. Spectrom., 2021, 36, 1712
DOI: 10.1039/D1JA00040C

Detection of fluorine using laser-induced breakdown spectroscopy and Raman spectroscopy

Pavel Pořízka, Saara Kaski, Aleš Hrdlička, Pavlína Modlitbová, Lucia Sládková, Heikki Häkkänen, David Prochazka, Jan Novotný, Petr Gadas, Ladislav Čelko, Karel Novotný and Jozef Kaiser

J. Anal. At. Spectrom., 2017, 32, 1966
DOI: 10.1039/C7JA00200A

Recent advances in LIBS and XRF for the analysis of plants

Gabriel Gustinelli Arantes de Carvalho, Marcelo Braga Bueno Guerra, Andressa Adame, Cassiana Seimi Nomura, Pedro Vitoriano Oliveira, Hudson Wallace Pereira de Carvalho, Dário Santos, Lidiane Cristina Nunes and Francisco José Krug

J. Anal. At. Spectrom., 2018, 33, 919
DOI: 10.1039/C7JA00293A

Quantitative analysis of cadmium and zinc in algae using laser-induced breakdown spectroscopy

Yi Lu, Han Guo, Tingting Shen, Wei Wang, Yong He and Fei Liu

Anal. Methods, 2019, 11, 6124
DOI: 10.1039/C9AY01681C

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

Yongsheng Zhang, Meirong Dong, Lihua Cheng, Liping Wei, Junbin Cai and Jidong Lu

J. Anal. At. Spectrom., 2020, 35, 810
DOI: 10.1039/C9JA00429G

ArF laser-induced plume fluorescence – normalization of the fluorescence spectra

Nai-Ho Cheung

J. Anal. At. Spectrom., 2021, 36, 1618
DOI: 10.1039/D1JA00124H

Influence of baseline subtraction on laser-induced breakdown spectroscopic data

Erik Képeš, Pavel Pořízka, Jakub Klus, Pavlína Modlitbová and Jozef Kaiser

J. Anal. At. Spectrom., 2018, 33, 2107
DOI: 10.1039/C8JA00209F

Quantitative analysis of steel samples by laser-induced-breakdown spectroscopy with wavelet-packet-based relevance vector machines

Shichen Xie, Tao Xu, Guanghui Niu, Wenlong Liao, Qinyu Lin and Yixiang Duan

J. Anal. At. Spectrom., 2018, 33, 975
DOI: 10.1039/C7JA00421D

Selecting and visualizing the spectral variability relevant for sample classification using principal component analysis

José I. Robledo and Eloisa Cuestas

J. Anal. At. Spectrom., 2020, 35, 1435
DOI: 10.1039/D0JA00148A

Addressing the sparsity of laser-induced breakdown spectroscopy data with randomized sparse principal component analysis

Erik Képeš, Jakub Vrábel, Pavel Pořízka and Jozef Kaiser

J. Anal. At. Spectrom., 2021, 36, 1410
DOI: 10.1039/D1JA00067E

On the non-universality of distance metrics in laser-induced breakdown spectroscopy

J. Vrábel, E. Képeš, P. Nedělník, A. Záděra, P. Pořízka and J. Kaiser

J. Anal. At. Spectrom., 2025, 40, 1552
DOI: 10.1039/D4JA00377B

Collaborative estimation of heavy metal stress in wheat seedlings based on LIBS-Raman spectroscopy coupled with machine learning

Zihan Yang, Junmeng Li, Lingming Zuo, Yanru Zhao and Keqiang Yu

J. Anal. At. Spectrom., 2023, 38, 2059
DOI: 10.1039/D3JA00243H

Automatic variable selection method and a comparison for quantitative analysis in laser-induced breakdown spectroscopy

Fajie Duan, Xiao Fu, Jiajia Jiang, Tingting Huang, Ling Ma and Cong Zhang

Spectrochimica Acta Part B: Atomic Spectroscopy, 2018, 143, 12
DOI: 10.1016/j.sab.2018.02.010

Applications of laser-induced breakdown spectroscopy (LIBS) combined with machine learning in geochemical and environmental resources exploration

Tingting Chen, Tianlong Zhang and Hua Li

TrAC Trends in Analytical Chemistry, 2020, 133, 116113
DOI: 10.1016/j.trac.2020.116113

A critical review of recent trends in sample classification using Laser-Induced Breakdown Spectroscopy (LIBS)

L. Brunnbauer, Z. Gajarska, H. Lohninger and A. Limbeck

TrAC Trends in Analytical Chemistry, 2023, 159, 116859
DOI: 10.1016/j.trac.2022.116859

Application of self-organizing maps to the study of U-Zr-Ti-Nb distribution in sandstone-hosted uranium ores

Jakub Klus, Pavel Pořízka, David Prochazka, Petr Mikysek, Jan Novotný, Karel Novotný, Marek Slobodník and Jozef Kaiser

Spectrochimica Acta Part B: Atomic Spectroscopy, 2017, 131, 66
DOI: 10.1016/j.sab.2017.03.008

Classification of recyclables using laser-induced breakdown spectroscopy for waste management

H. Jull, J. Bier, R. Künnemeyer and P. Schaare

Spectroscopy Letters, 2018, 51, 257
DOI: 10.1080/00387010.2018.1466806

Interpreting support vector machines applied in laser-induced breakdown spectroscopy

Erik Képeš, Jakub Vrábel, Ondrej Adamovsky, Sára Střítežská, Pavlína Modlitbová, Pavel Pořízka and Jozef Kaiser

Analytica Chimica Acta, 2022, 1192, 339352
DOI: 10.1016/j.aca.2021.339352

Fast Detection of Copper Content in Rice by Laser-Induced Breakdown Spectroscopy with Uni- and Multivariate Analysis

Fei Liu, Lanhan Ye, Jiyu Peng, Kunlin Song, Tingting Shen, Chu Zhang and Yong He

Sensors, 2018, 18, 705
DOI: 10.3390/s18030705

Univariate and multivariate calibration strategies in combination with laser-induced breakdown spectroscopy (LIBS) to determine Ti on sunscreen: A different sample preparation procedure

Marco Aurelio Sperança, Daniel Fernandes Andrade, Jeyne Pricylla Castro and Edenir Rodrigues Pereira-Filho

Optics & Laser Technology, 2019, 109, 648
DOI: 10.1016/j.optlastec.2018.08.056

Standoff discrimination and trace detection of explosive molecules using femtosecond filament induced breakdown spectroscopy combined with silver nanoparticles

Abdul Kalam Shaik and Venugopal Rao Soma

OSA Continuum, 2019, 2, 554
DOI: 10.1364/OSAC.2.000554

二维小波去噪对激光诱导击穿光谱检测稳定性的改善

赵梓屹 Zhao Ziyi, 郝中骐 Hao Zhongqi, 卢颖 Lu Ying, 徐智帅 Xu Zhishuai, 许柏宁 Xu Baining, 张能 Zhang Neng, 刘莉 Liu Li, 史久林 Shi Jiulin and 何兴道 He Xingdao

光学学报, 2024, 44, 1130002
DOI: 10.3788/AOS231983

Rapid authentication of geographical origins of Baishao (Radix Paeoniae Alba) slices with laser-induced breakdown spectroscopy based on conventional machine learning and deep learning

Fei Zhou, Weiyue Xie, Ming Lin, Longfei Ye, Chu Zhang, Zhangfeng Zhao, Fei Liu, Jiyu Peng and Wenwen Kong

Spectrochimica Acta Part B: Atomic Spectroscopy, 2024, 212, 106852
DOI: 10.1016/j.sab.2023.106852

Classification of Geological Samples Based on Soft Independent Modeling of Class Analogy Using Laser-Induced Breakdown Spectroscopy

Ying Zhang, Ying Li, Wendong Li, Zigang Sun and Yunfeng Bi

Journal of Spectroscopy, 2018, 2018, 1
DOI: 10.1155/2018/3683089

Multi-element analysis of heavy metal content in soils using laser-induced breakdown spectroscopy: A case study in eastern China

Tao Wang, Mingjiang He, Tingting Shen, Fei Liu, Yong He, Xingmei Liu and Zhengjun Qiu

Spectrochimica Acta Part B: Atomic Spectroscopy, 2018, 149, 300
DOI: 10.1016/j.sab.2018.09.008

A Novel Separating Hyperplane Classification Framework to Unify Nearest-Class-Model Methods for High-Dimensional Data

Rui Zhu, Ziyu Wang, Naoya Sogi, Kazuhiro Fukui and Jing-Hao Xue

IEEE Trans. Neural Netw. Learning Syst., 2020, 31, 3866
DOI: 10.1109/TNNLS.2019.2946967

Estimation of the aging grade of T91 steel by laser-induced breakdown spectroscopy coupled with support vector machines

Shengzi Lu, Meirong Dong, Jianwei Huang, Wenbing Li, Jidong Lu and Jun Li

Spectrochimica Acta Part B: Atomic Spectroscopy, 2018, 140, 35
DOI: 10.1016/j.sab.2017.11.005

Spectral sensor fusion for prediction of Li and Zr in rocks: Neural network and PLS methods

Matthew Dirks, David Turner and David Poole

Chemometrics and Intelligent Laboratory Systems, 2023, 240, 104915
DOI: 10.1016/j.chemolab.2023.104915

Evaluation of sample preparation methods for rice geographic origin classification using laser-induced breakdown spectroscopy

Ping Yang, Yining Zhu, Xinyan Yang, Jiaming Li, Shisong Tang, Zhongqi Hao, Lianbo Guo, Xiangyou Li, Xiaoyan Zeng and Yongfeng Lu

Journal of Cereal Science, 2018, 80, 111
DOI: 10.1016/j.jcs.2018.01.007

Application of Laser-Induced Breakdown Spectroscopy Combined with Chemometrics for Identification of Penicillin Manufacturers

Kai Wei, Qianqian Wang, Geer Teng, Xiangjun Xu, Zhifang Zhao and Guoyan Chen

Applied Sciences, 2022, 12, 4981
DOI: 10.3390/app12104981

Heavy Metal Detection in Fritillaria thunbergii Using Laser-Induced Breakdown Spectroscopy Coupled with Variable Selection Algorithm and Chemometrics

Muhammad Hilal Kabir, Mahamed Lamine Guindo, Rongqin Chen, Xinmeng Luo, Wenwen Kong and Fei Liu

Foods, 2023, 12, 1125
DOI: 10.3390/foods12061125

Calibration strategies for elemental analysis of biological samples by LA-ICP-MS and LIBS – A review

Mauro Martinez and Matthieu Baudelet

Anal Bioanal Chem, 2020, 412, 27
DOI: 10.1007/s00216-019-02195-1

Hybrid Raman and Laser-Induced Breakdown Spectroscopy for Food Authentication Applications

Sungho Shin, Iyll-Joon Doh, Kennedy Okeyo, Euiwon Bae, J. Paul Robinson and Bartek Rajwa

Molecules, 2023, 28, 6087
DOI: 10.3390/molecules28166087

Hierarchical modelling as a gray-box approach to LIBS spectra classification

Curtis Huffman and Hugo Sobral

Spectrochimica Acta Part B: Atomic Spectroscopy, 2023, 199, 106573
DOI: 10.1016/j.sab.2022.106573

A Multi-Level Non-Uniform Spatial Sampling Method for Accuracy Assessment of Remote Sensing Image Classification Results

Zhenhua Wang, Lizhi Xu, Qing Ji, Wei Song and Lingqun Wang

Applied Sciences, 2020, 10, 5568
DOI: 10.3390/app10165568

Predicting smart cities’ electricity demands using k-means clustering algorithm in smart grid

Shurui Wang, Aifeng Song and Yufeng Qian

ComSIS, 2023, 20, 657
DOI: 10.2298/CSIS220807013W

On the utilization of principal component analysis in laser-induced breakdown spectroscopy data analysis, a review

Pavel Pořízka, Jakub Klus, Erik Képeš, David Prochazka, David W. Hahn and Jozef Kaiser

Spectrochimica Acta Part B: Atomic Spectroscopy, 2018, 148, 65
DOI: 10.1016/j.sab.2018.05.030

Supervised laser induced breakdown spectroscopy classification for prehistoric chert provenance: A methodological framework

Julien Le Guirriec, Jonàs Alcaina-Mateos, Bruno Bousquet, François-Xavier Le Bourdonnec and Marta Sánchez de la Torre

Chemometrics and Intelligent Laboratory Systems, 2025, 263, 105411
DOI: 10.1016/j.chemolab.2025.105411

Determination of Elemental Content in Solder Mask Samples Used in Printed Circuit Boards Using Different Spectroanalytical Techniques

Marco Aurelio Sperança, Alex Virgilio, Edenir Rodrigues Pereira-Filho and Francisco Wendel Batista de Aquino

Appl Spectrosc, 2018, 72, 1205
DOI: 10.1177/0003702818774580

Classification of materials for selective laser melting by laser-induced breakdown spectroscopy

J. Vrábel, P. Pořízka, J. Klus, D. Prochazka, J. Novotný, D. Koutný, D. Paloušek and J. Kaiser

Chem. Pap., 2019, 73, 2897
DOI: 10.1007/s11696-018-0609-1

PREPROCESSING OF LASER-INDUCED BREAKDOWN SPECTRA OF LOW ALLOY STEELS AND CAST IRONS IN THE ANALYSIS USING PARTIAL LEAST SQUARES REGRESSION

M. V. Belkov, V. V. Kiris and K. Yu. Catsalap

Ž. prikl. spektrosk. (Minsk), 2022, 89, 782
DOI: 10.47612/0514-7506-2022-89-6-782-788

Machine Learning for Long COVID Inference Based on the Acute Phase: A Case Study in Healthcare Professionals

Caio B. S. Maior, Sandrely P. Silva, Isis D. Lins, Ana Lisa Gomes and Marcio C. Moura

IEEE Access, 2025, 13, 54019
DOI: 10.1109/ACCESS.2025.3553783

Feature selection of laser-induced breakdown spectroscopy data for steel aging estimation

Shengzi Lu, Shen Shen, Jianwei Huang, Meirong Dong, Jidong Lu and Wenbing Li

Spectrochimica Acta Part B: Atomic Spectroscopy, 2018, 150, 49
DOI: 10.1016/j.sab.2018.10.006

Simultaneous analysis of Cr and Pb in contaminated pork by laser-induced breakdown spectroscopy

Mingyin Yao, Gangfu Rao, Lin Huang, Muhua Liu, Hui Yang, Jinyin Chen and Tianbing Chen

Appl. Opt., 2017, 56, 8148
DOI: 10.1364/AO.56.008148

Rapid and accurate screening of cystic echinococcosis in sheep based on serum Fourier‐transform infrared spectroscopy combined with machine learning algorithms

Wubulitalifu Dawuti, Jingrui Dou, Xiangxiang Zheng, Xiaoyi Lü, Hui Zhao, Lingfei Yang, Renyong Lin and Guodong Lü

Journal of Biophotonics, 2023, 16
DOI: 10.1002/jbio.202200320

Imaging laser-induced plasma under different laser irradiances

Jakub Buday, Pavel Pořízka and Jozef Kaiser

Spectrochimica Acta Part B: Atomic Spectroscopy, 2020, 168, 105874
DOI: 10.1016/j.sab.2020.105874

Identification of Coffee Varieties Using Laser-Induced Breakdown Spectroscopy and Chemometrics

Chu Zhang, Tingting Shen, Fei Liu and Yong He

Sensors, 2017, 18, 95
DOI: 10.3390/s18010095

Novel COVID-19 biomarkers identified through multi-omics data analysis: N-acetyl-4-O-acetylneuraminic acid, N-acetyl-L-alanine, N-acetyltriptophan, palmitoylcarnitine, and glycerol 1-myristate

Alexandre de Fátima Cobre, Alexessander Couto Alves, Ana Raquel Manuel Gotine, Karime Zeraik Abdalla Domingues, Raul Edison Luna Lazo, Luana Mota Ferreira, Fernanda Stumpf Tonin and Roberto Pontarolo

Intern Emerg Med, 2024, 19, 1439
DOI: 10.1007/s11739-024-03547-1

Laser-induced breakdown spectroscopy spectral feature selection to enhance classification capabilities: A t-test filter approach

Curtis Huffman, Hugo Sobral and Estrella Terán-Hinojosa

Spectrochimica Acta Part B: Atomic Spectroscopy, 2019, 162, 105721
DOI: 10.1016/j.sab.2019.105721

Time resolved study of laser triggered electric discharge spark in atmosphere: Machine learning approach

Maja S. Rabasovic, Bratislav P. Marinkovic and Dragutin Sevic

Advances in Space Research, 2023, 71, 1331
DOI: 10.1016/j.asr.2022.04.046

Weighted-averaging-based classification of laser-induced breakdown spectroscopy measurements using most informative spectral lines

Ekta SRIVASTAVA, Hyemin JANG, Sungho SHIN, Janghee CHOI, Sungho JEONG and Euiseok HWANG

Plasma Sci. Technol., 2020, 22, 015501
DOI: 10.1088/2058-6272/ab481e

Development and validation of a new method by MIR-FTIR and chemometrics for the early diagnosis of leprosy and evaluation of the treatment effect

Andrea Cristina Novack, Alexandre de Fátima Cobre, Dile Pontarolo Stremel, Luana Mota Ferreira, Michel Leandro Campos and Roberto Pontarolo

Chemometrics and Intelligent Laboratory Systems, 2024, 254, 105248
DOI: 10.1016/j.chemolab.2024.105248

Harnessing Machine Learning and Deep Learning Approaches for Laser‐Induced Breakdown Spectroscopy Data Analysis: A Comprehensive Review

Pegah Dehbozorgi, Ludovic Duponchel, Vincent Motto‐Ros and Thomas Bocklitz

Analysis & Sensing, 2025
DOI: 10.1002/anse.202500106

Improved elemental quantification in copper ores by laser-induced breakdown spectroscopy with judicious data processing

Marizú Velásquez, Jonnathan Álvarez, Claudio Sandoval, Eimmy Ramírez, Martín Bravo, Rodrigo Fuentes, Ashwin Kumar Myakalwar, Rosario Castillo, Danny Luarte, Daniel Sbarbaro and Jorge Yáñez

Spectrochimica Acta Part B: Atomic Spectroscopy, 2022, 188, 106343
DOI: 10.1016/j.sab.2021.106343

Front-end signal processing for metal scrap classification using online measurements based on laser-induced breakdown spectroscopy

Hyebin Kim, Jaepil Lee, Ekta Srivastava, Sungho Shin, Sungho Jeong and Euiseok Hwang

Spectrochimica Acta Part B: Atomic Spectroscopy, 2021, 184, 106282
DOI: 10.1016/j.sab.2021.106282

Surface Roughness Study of High-Speed Railway Wheel Materials Based on Laser-Induced Breakdown Spectroscopy

Aiguo Ouyang, Bin Yu, Jun Hu, Tongzheng Lin and Yande Liu

J Appl Spectrosc, 2023, 90, 646
DOI: 10.1007/s10812-023-01578-8

Fast identification of geographical origins of Baishao (Radix Paeoniae Alba) using the deep fusion of LIBS spectrum and ablation image

Jiyu Peng, Ming Lin, Weiyue Xie, Longfei Ye, Chu Zhang, Zhangfeng Zhao, Fei Liu, Wenwen Kong and Fei Zhou

Microchemical Journal, 2023, 194, 109337
DOI: 10.1016/j.microc.2023.109337

Analysis of Phosphorus in Fertilizer Using Laser-Induced Breakdown Spectroscopy

Wen Sha, Pingan Niu, Chunhou Zhen, Cuiping Lu and Yongcheng Jiang

J Appl Spectrosc, 2018, 85, 653
DOI: 10.1007/s10812-018-0700-y

Preprocessing of Laser-Induced Breakdown Spectra of Low Alloy Steels and Cast Irons Using Partial Least-Squares Regression Analysis

M. V. Belkov, V. V. Kiris and K. Yu. Catsalap

J Appl Spectrosc, 2023, 89, 1040
DOI: 10.1007/s10812-023-01464-3

Nuclear forensic study for identification of origin of yellow cakes using chemometrics coupled laser-induced-breakdown-spectroscopy (LIBS)

Anannya Banerjee, Subhankar Manna, Anandhu Mohan, Santosh K. Satpati, Rajesh V. Pai and Arnab Sarkar

Microchemical Journal, 2025, 212, 113587
DOI: 10.1016/j.microc.2025.113587

Comparative Study of the Detection of Chromium Content in Rice Leaves by 532 nm and 1064 nm Laser-Induced Breakdown Spectroscopy

Jiyu Peng, Fei Liu, Tingting Shen, Lanhan Ye, Wenwen Kong, Wei Wang, Xiaodan Liu and Yong He

Sensors, 2018, 18, 621
DOI: 10.3390/s18020621

Combination of laser-induced breakdown spectroscopy and Raman spectroscopy for multivariate classification of bacteria

D. Prochazka, M. Mazura, O. Samek, K. Rebrošová, P. Pořízka, J. Klus, P. Prochazková, J. Novotný, K. Novotný and J. Kaiser

Spectrochimica Acta Part B: Atomic Spectroscopy, 2018, 139, 6
DOI: 10.1016/j.sab.2017.11.004

A novel diagnostic method: FT-IR, Raman and derivative spectroscopy fusion technology for the rapid diagnosis of renal cell carcinoma serum

Cheng Chen, Fangfang Chen, Bo Yang, Kai Zhang, Xiaoyi Lv and Chen Chen

Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2022, 269, 120684
DOI: 10.1016/j.saa.2021.120684

A comparative performance of machine learning algorithms on laser‐induced breakdown spectroscopy data of minerals

Gian Alix, Elizabeth Lymer, Guanlin Zhang, Michael Daly and Xin Gao

Journal of Chemometrics, 2023, 37
DOI: 10.1002/cem.3400

Methodology and applications of elemental mapping by laser induced breakdown spectroscopy

A. Limbeck, L. Brunnbauer, H. Lohninger, P. Pořízka, P. Modlitbová, J. Kaiser, P. Janovszky, A. Kéri and G. Galbács

Analytica Chimica Acta, 2021, 1147, 72
DOI: 10.1016/j.aca.2020.12.054