Lithium has emerged as a pivotal material for the global energy transition, yet its supply security is challenged by limited geographical availability and growing demand. These constraints highlight the need for analytical methods that are not only accurate but also sustainable and deployable across the entire lithium value chain. In this context, Laser-Induced Breakdown Spectroscopy (LIBS) offers distinctive advantages, including minimal sample preparation, real-time and in situ analysis and the potential for portable and automated implementation. Such features make LIBS a valuable tool for monitoring and optimizing lithium extraction, refining and recycling processes. This review critically examines the recent progress in the use of LIBS for lithium detection and quantification in geological, industrial, biological and extraterrestrial matrices. It also discusses emerging applications in closed-loop recycling and highlights future prospects related to the integration of LIBS with artificial intelligence and machine learning to enhance analytical accuracy and material classification.

Laser-Induced Breakdown Spectroscopy Analysis of Lithium: A Comprehensive Review

Depero L. E.;Borgese L.;Bontempi E.;
2025-01-01

Abstract

Lithium has emerged as a pivotal material for the global energy transition, yet its supply security is challenged by limited geographical availability and growing demand. These constraints highlight the need for analytical methods that are not only accurate but also sustainable and deployable across the entire lithium value chain. In this context, Laser-Induced Breakdown Spectroscopy (LIBS) offers distinctive advantages, including minimal sample preparation, real-time and in situ analysis and the potential for portable and automated implementation. Such features make LIBS a valuable tool for monitoring and optimizing lithium extraction, refining and recycling processes. This review critically examines the recent progress in the use of LIBS for lithium detection and quantification in geological, industrial, biological and extraterrestrial matrices. It also discusses emerging applications in closed-loop recycling and highlights future prospects related to the integration of LIBS with artificial intelligence and machine learning to enhance analytical accuracy and material classification.
2025
PE10_11 Geochemistry, crystal chemistry, isotope geochemistry, thermodynamics
PE4_1 Physical chemistry
PE5_9 Environment chemistry
Inglese
25
24
circular economy; LIBS; lithium; lithium-ion batteries; recycling
no
Goal 3: Good health and well-being
Goal 14: Life below water
Goal 6: Clean water and sanitation
10
info:eu-repo/semantics/article
262
Legnaioli, S.; Lorenzetti, G.; Poggialini, F.; Campanella, B.; Palleschi, V.; De Iuliis, S.; Depero, L. E.; Borgese, L.; Bontempi, E.; Raneri, S....espandi
1 Contributo su Rivista::1.1 Articolo in rivista
none
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/638412
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