Article
Chemistry, Analytical
Qi Wang, Jianting Xiao, Ying Li, Yuan Lu, Jinjia Guo, Ye Tian, Lihui Ren
Summary: The identification of ore samples is highly significant for mineral exploration and planetary geological evolution research. By combining Raman spectroscopy and laser-induced breakdown spectroscopy (LIBS), we have developed an efficient method for ore identification. We trained a convolutional neural network (CNN) model using mid-level fusion spectra of ores and improved its classification performance with a hybrid feature selection method (AVPSO) based on analysis of variance (ANOVA) and particle swarm optimization (PSO). The proposed method achieves a 98% accuracy in ore sample identification, outperforming Raman (87.9% accuracy) and LIBS (91.3% accuracy) alone. This method holds great importance for rapid and accurate identification of ore samples.
ANALYTICA CHIMICA ACTA
(2023)
Article
Chemistry, Applied
Lihui Ren, Ye Tian, Xiaoying Yang, Qi Wang, Leshan Wang, Xin Geng, Kaiqiang Wang, Zengfeng Du, Ying Li, Hong Lin
Summary: For the first time, this study combined LIBS and Raman spectroscopy to identify fish species using machine learning methods. Data fusion strategies significantly improved fish classification accuracy, with the CNN model outperforming the SVM model.
Article
Chemistry, Physical
Odhisea Gazeli, Dimitrios Stefas, Stelios Couris
Summary: Laser-induced breakdown spectroscopy (LIBS) is effectively used for rapid sulfur detection in organic soil samples with the assistance of multivariate analysis methods, demonstrating its applicability and efficiency through the construction of calibration curves and analysis of various statistical models.
Article
Spectroscopy
Ryan B. Anderson, Olivier Forni, Agnes Cousin, Roger C. Wiens, Samuel M. Clegg, Jens Frydenvang, Travis S. J. Gabriel, Ann Ollila, Susanne Schroder, Olivier Beyssac, Erin Gibbons, David S. Vogt, Elise Clave, Jose-Antonio Manrique, Carey Legett, Paolo Pilleri, Raymond T. Newell, Joseph Sarrao, Sylvestre Maurice, Gorka Arana, Karim Benzerara, Pernelle Bernardi, Sylvain Bernard, Bruno Bousquet, Adrian J. Brown, Cesar Alvarez-Llamas, Baptiste Chide, Edward Cloutis, Jade Comellas, Stephanie Connell, Erwin Dehouck, Dorothea M. Delapp, Ari Essunfeld, Cecile Fabre, Thierry Fouchet, Cristina Garcia-Florentino, Laura Garcia-Gomez, Patrick Gasda, Olivier Gasnault, Elisabeth M. Hausrath, Nina L. Lanza, Javier Laserna, Jeremie Lasue, Guillermo Lopez, Juan Manuel Madariaga, Lucia Mandon, Nicolas Mangold, Pierre-Yves Meslin, Anthony E. Nelson, Horton Newsom, Adriana L. Reyes-Newell, Scott Robinson, Fernando Rull, Shiv Sharma, Justin Simon, Pablo Sobron, Imanol Torre Fernandez, Arya Udry, Dawn Venhaus, Scott M. McLennan, Richard Morris, Bethany Ehlmann
Summary: The SuperCam instrument on the Perseverance rover uses laser induced breakdown spectroscopy (LIBS) to analyze the chemical composition of targets on Mars. Preprocessing and optimization models are applied to achieve accurate quantitative results.
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
(2022)
Article
Spectroscopy
Daniel Holub, Pavel Porizka, Martin Kizovsky, David Prochazka, Ota Samek, Josef Kaiser
Summary: This study combines the surface analysis technique of Laser-induced Breakdown Spectroscopy (LIBS) with Raman spectroscopy to study the chemical composition of the sample in a broader context. By combining elemental and molecular information, the study provides specific answers regarding the relation of lignin and cellulose formation with nutrients within plant tissue.
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
(2022)
Article
Chemistry, Multidisciplinary
Jae Seung Choi, Choong Mo Ryu, Jung Hyun Choi, Seung Jae Moon
Summary: A new technique for estimating the calorific value and measuring the sulfur concentration of mixed coals was studied using laser-induced breakdown spectroscopy (LIBS). The technique does not require sample preparation and was evaluated using various blended coals. The performance of the method was analyzed using parameters such as coefficient of determination, relative error, and root mean square error (RMSE).
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Weiran Song, Muhammad Sher Afgan, Yong-Huan Yun, Hui Wang, Jiacheng Cui, Weilun Gu, Zongyu Hou, Zhe Wang
Summary: Laser-induced breakdown spectroscopy (LIBS) is a promising technique for multi-elemental analysis, but its data quality can be low due to matrix effects and signal uncertainty. Previous studies have attempted to improve LIBS performance using linear and nonlinear models, but they have limitations. In this work, a new machine learning algorithm called spectral knowledge-based regression (SKR) is proposed, which integrates linear and nonlinear models to improve the accuracy and interpretability of LIBS quantitative analysis.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Weiran Song, Muhammad Sher Afgan, Yong-Huan Yun, Hui Wang, Jiacheng Cui, Weilun Gu, Zongyu Hou, Zhe Wang
Summary: A new machine learning algorithm SKR is proposed, combining linear and nonlinear models to improve the performance of LIBS quantitative analysis. Tested on 4 LIBS datasets, SKR outperforms 5 baseline methods on 12 of 18 quantification tasks, demonstrating high accuracy and simple variable interpretability.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Geochemistry & Geophysics
Jose L. Clabel Huaman, Amanda Maria Tadini, Giorgio Saverio Senesi, Stephane Mounier, Debora M. B. P. Milori, Gustavo Nicolodelli
Summary: This study investigated the elemental and molecular composition of Amazon soil profiles using laser-induced breakdown spectroscopy (LIBS), Raman spectroscopy, and fluorescence spectroscopy. LIBS detected emission lines from various elements, while fluorescence analysis confirmed that carbon mainly accumulated in the transition horizon as humified organic matter. Raman peaks at 465 cm(-1) and 800 cm(-1) corresponded to stretching and bending modes of Si-O and Si-OH bonds, respectively. The combined use of these spectroscopic techniques proved to be a promising approach for studying Amazon soils.
Article
Optics
K. M. Muhammed Shameem, V. S. Dhanada, Sajan D. George, V. B. Kartha, C. Santhosh, V. K. Unnikrishnan
Summary: We have developed a potentially portable tabletop combined remote LIBS-Raman spectroscopy system using a high-resolution gated echelle spectrograph. This system enables simultaneous measurements of atomic and molecular emission spectra at a standoff distance of 6.5 m. The feasibility and practicality of detecting remote Raman signals using the low throughput gated echelle spectrograph were evaluated by conducting experiments with organic chemicals and solid samples. The study also demonstrates the possibility of measuring Raman signals of organic chemicals through different colored bottles.
OPTICS AND LASER TECHNOLOGY
(2022)
Article
Geochemistry & Geophysics
Victoria L. Frankland, Antoni E. Milodowski, David Read
Summary: This study utilized Raman, time-resolved luminescence, and laser induced breakdown spectroscopy to analyze andersonite, marking the first attempt to combine all three laser-based techniques for this mineral. The findings suggest that multiple laser-based techniques offer the potential for real-time characterization of uranyl phases formed in environments where traditional sampling and laboratory analysis are not feasible.
APPLIED GEOCHEMISTRY
(2022)
Article
Spectroscopy
Cai R. Ytsma, M. Darby Dyar
Summary: This study provides the final step in a protocol for generating robust quantification models for LIBS, with carefully determined accuracies for geological applications. Using partial-least squares regression models, LOQ for LIBS is calculated and its impact on model validation is summarized by comparing test accuracies.
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
(2022)
Article
Instruments & Instrumentation
David M. Surmick, Leon Taleh, Noureddine Melikechi
Summary: The impact of altering laser focusing conditions on laser-induced breakdown spectroscopy experiments was investigated in both ambient Earth laboratory and simulated Martian atmospheres. Results showed that the peak emissions of ionic species occur when the laser plasma is initiated with a focused spot within the sample in ambient Earth laboratory air, while atomic emissions have peak intensities several millimeters deeper into the sample. In simulated Martian atmospheres, atomic emissions peak when the laser is focused within the sample, while ionic emissions have peak intensities near the surface of the sample.
APPLIED SPECTROSCOPY
(2021)
Article
Spectroscopy
Hyebin Kim, Jaepil Lee, Ekta Srivastava, Sungho Shin, Sungho Jeong, Euiseok Hwang
Summary: The study proposes a front-end signal processing scheme for classifying metal scrap spectra via LIBS, focusing on high-speed sorting systems for moving samples. By using machine learning techniques and preprocessing captured spectra, the scheme effectively compensates for noise and disturbances in dynamic environments. Through prescreening and two-stage preprocessing methods, the scheme improves the classification accuracy for metal types under dynamic conditions.
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
(2021)
Article
Chemistry, Analytical
Ismail Elhamdaoui, Nessrine Mohamed, Samira Selmani, Paul Bouchard, Mohamad Sabsabi, Marc Constantin, Francois Vidal
Summary: This paper discusses the use of conventional LIBS and LIBS-LIF techniques for measuring trace amounts of palladium in solid ore samples. The study optimized the performances of LIBS-LIF for spectrochemical analysis of palladium by studying the combination of excitation/fluorescence of Pd lines and plasma creation conditions. Calibration curves were established using reference materials doped with a palladium solution. The results demonstrated that LIBS-LIF could rapidly measure sub-ppm levels of palladium in solid ore samples without any sample preparation, and it could resolve the spectral interference which is problematic with conventional LIBS.
JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY
(2022)
Article
Astronomy & Astrophysics
Allyson L. Brady, Erin Gibbons, Alexander Sehlke, Caleb J. Renner, Shannon E. Kobs Nawotniak, Darlene S. S. Lim, Greg F. Slater
PLANETARY AND SPACE SCIENCE
(2020)
Article
Spectroscopy
Ryan B. Anderson, Olivier Forni, Agnes Cousin, Roger C. Wiens, Samuel M. Clegg, Jens Frydenvang, Travis S. J. Gabriel, Ann Ollila, Susanne Schroder, Olivier Beyssac, Erin Gibbons, David S. Vogt, Elise Clave, Jose-Antonio Manrique, Carey Legett, Paolo Pilleri, Raymond T. Newell, Joseph Sarrao, Sylvestre Maurice, Gorka Arana, Karim Benzerara, Pernelle Bernardi, Sylvain Bernard, Bruno Bousquet, Adrian J. Brown, Cesar Alvarez-Llamas, Baptiste Chide, Edward Cloutis, Jade Comellas, Stephanie Connell, Erwin Dehouck, Dorothea M. Delapp, Ari Essunfeld, Cecile Fabre, Thierry Fouchet, Cristina Garcia-Florentino, Laura Garcia-Gomez, Patrick Gasda, Olivier Gasnault, Elisabeth M. Hausrath, Nina L. Lanza, Javier Laserna, Jeremie Lasue, Guillermo Lopez, Juan Manuel Madariaga, Lucia Mandon, Nicolas Mangold, Pierre-Yves Meslin, Anthony E. Nelson, Horton Newsom, Adriana L. Reyes-Newell, Scott Robinson, Fernando Rull, Shiv Sharma, Justin Simon, Pablo Sobron, Imanol Torre Fernandez, Arya Udry, Dawn Venhaus, Scott M. McLennan, Richard Morris, Bethany Ehlmann
Summary: The SuperCam instrument on the Perseverance rover uses laser induced breakdown spectroscopy (LIBS) to analyze the chemical composition of targets on Mars. Preprocessing and optimization models are applied to achieve accurate quantitative results.
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
(2022)
Article
Multidisciplinary Sciences
K. Berlo, W. Xia, F. Zwillich, E. Gibbons, R. Gaudiuso, E. Ewusi-Annan, G. R. Chiklis, N. Melikechi
Summary: This study demonstrates the combination of laser induced breakdown spectroscopy (LIBS) and machine learning can effectively differentiate plasma samples of SARS-CoV-2 positive and negative individuals with high accuracy, providing a valuable method for confirming infection status.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
S. Maurice, B. Chide, N. Murdoch, R. D. Lorenz, D. Mimoun, R. C. Wiens, A. Stott, X. Jacob, T. Bertrand, F. Montmessin, N. L. Lanza, C. Alvarez-Llamas, S. M. Angel, M. Aung, J. Balaram, O. Beyssac, A. Cousin, G. Delory, O. Forni, T. Fouchet, O. Gasnault, H. Grip, M. Hecht, J. Hoffman, J. Laserna, J. Lasue, J. Maki, J. McClean, P. -y. Meslin, S. Le Mouelic, A. Munguira, C. E. Newman, J. A. Rodriguez Manfredi, J. Moros, A. Ollila, P. Pilleri, S. Schroder, M. de la Torre Juarez, T. Tzanetos, K. M. Stack, K. Farley, K. Williford
Summary: The acoustic environment on Mars was unknown before the Perseverance rover landing. This study presents the first characterization of the acoustic environment on Mars using Perseverance microphone recordings, providing important data for atmospheric studies.
Article
Spectroscopy
Piyali Deb Barman, Ashok Kumar Maurya, Subhendu Ghosh, Ankit Roy, Mukul Madaan
Summary: In X-ray spectroscopic studies, K beta 1,3 lines have been used to examine the chemical states of 3d transition metals, but are not suitable for characterizing iron oxides. Instead, FeL-lines, which involve the valence shell 3d electrons, were inspected and found to provide information on the chemical states of iron. The study established a linear relationship between the chemical shift of FeL beta 1 line and spin multiplicity, allowing for the speciation of iron.
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
(2024)