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Raman and UVN+LWIR LIBS detection system for in-situ surface chemical identification

Laser Induced Breakdown Spectroscopy (LIBS) in the Ultra Violet/Visible/Near-IR (UVN) spectral range is a powerful analytical tool that facilitates the interpretation of Raman spectroscopic data by providing additional details in elemental chemistry. To acquire the complete information of molecular...

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Autores principales: Yang, Clayton S.C., Bower, Dina M., Jin, Feng, Hewagama, Tilak, Aslam, Shahid, Nixon, Conor A., Kolasinski, John, Samuels, Alan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924681/
https://www.ncbi.nlm.nih.gov/pubmed/35308253
http://dx.doi.org/10.1016/j.mex.2022.101647
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author Yang, Clayton S.C.
Bower, Dina M.
Jin, Feng
Hewagama, Tilak
Aslam, Shahid
Nixon, Conor A.
Kolasinski, John
Samuels, Alan C.
author_facet Yang, Clayton S.C.
Bower, Dina M.
Jin, Feng
Hewagama, Tilak
Aslam, Shahid
Nixon, Conor A.
Kolasinski, John
Samuels, Alan C.
author_sort Yang, Clayton S.C.
collection PubMed
description Laser Induced Breakdown Spectroscopy (LIBS) in the Ultra Violet/Visible/Near-IR (UVN) spectral range is a powerful analytical tool that facilitates the interpretation of Raman spectroscopic data by providing additional details in elemental chemistry. To acquire the complete information of molecular vibrations for more accurate and precise chemical bonding and structural analysis, an ideal in situ • A single excitation laser pulse is used to trigger both UVN and LWIR spectrometers simultaneously. • Time-resolved UVN-LWIR LIBS measurements showed the evolution of both atomic and molecular signature emissions of target compounds in the laser-induced plasma. • The technique was applied to the characterization of mineral and organic compounds in planetary analog samples.
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spelling pubmed-89246812022-03-17 Raman and UVN+LWIR LIBS detection system for in-situ surface chemical identification Yang, Clayton S.C. Bower, Dina M. Jin, Feng Hewagama, Tilak Aslam, Shahid Nixon, Conor A. Kolasinski, John Samuels, Alan C. MethodsX Method Article Laser Induced Breakdown Spectroscopy (LIBS) in the Ultra Violet/Visible/Near-IR (UVN) spectral range is a powerful analytical tool that facilitates the interpretation of Raman spectroscopic data by providing additional details in elemental chemistry. To acquire the complete information of molecular vibrations for more accurate and precise chemical bonding and structural analysis, an ideal in situ • A single excitation laser pulse is used to trigger both UVN and LWIR spectrometers simultaneously. • Time-resolved UVN-LWIR LIBS measurements showed the evolution of both atomic and molecular signature emissions of target compounds in the laser-induced plasma. • The technique was applied to the characterization of mineral and organic compounds in planetary analog samples. Elsevier 2022-02-26 /pmc/articles/PMC8924681/ /pubmed/35308253 http://dx.doi.org/10.1016/j.mex.2022.101647 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Yang, Clayton S.C.
Bower, Dina M.
Jin, Feng
Hewagama, Tilak
Aslam, Shahid
Nixon, Conor A.
Kolasinski, John
Samuels, Alan C.
Raman and UVN+LWIR LIBS detection system for in-situ surface chemical identification
title Raman and UVN+LWIR LIBS detection system for in-situ surface chemical identification
title_full Raman and UVN+LWIR LIBS detection system for in-situ surface chemical identification
title_fullStr Raman and UVN+LWIR LIBS detection system for in-situ surface chemical identification
title_full_unstemmed Raman and UVN+LWIR LIBS detection system for in-situ surface chemical identification
title_short Raman and UVN+LWIR LIBS detection system for in-situ surface chemical identification
title_sort raman and uvn+lwir libs detection system for in-situ surface chemical identification
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924681/
https://www.ncbi.nlm.nih.gov/pubmed/35308253
http://dx.doi.org/10.1016/j.mex.2022.101647
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