Evidence map›Paper›PMID 41471685›Full record

ReviewSensors (Basel, Switzerland)2025

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

Stefano Legnaioli, Giulia Lorenzetti, Francesco Poggialini, Beatrice Campanella, Vincenzo Palleschi, Silvana De Iuliis, Laura Eleonora Depero, Laura Borgese, Elza Bontempi, Simona Raneri

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Stefano LegnaioliInstitute of Chemistry of Organometallic Compounds, National Research Council, 56124 Pisa, Italy.ORCID 0000-0002-1871-0647
Giulia LorenzettiInstitute of Chemistry of Organometallic Compounds, National Research Council, 56124 Pisa, Italy.
Francesco PoggialiniInstitute of Chemistry of Organometallic Compounds, National Research Council, 56124 Pisa, Italy.
Beatrice CampanellaInstitute of Chemistry of Organometallic Compounds, National Research Council, 56124 Pisa, Italy.
Vincenzo PalleschiInstitute of Chemistry of Organometallic Compounds, National Research Council, 56124 Pisa, Italy.ORCID 0000-0002-6377-7656
Silvana De IuliisInstitute of Condensed Matter Chemistry and Energy Technologies, National Research Council, 20125 Milano, Italy.ORCID 0000-0003-4029-8561
Laura Eleonora DeperoINSTM and Chemistry for Technologies Laboratory, Department of Mechanical and Industrial Engineering, University of Brescia, 25121 Brescia, Italy.ORCID 0000-0001-7818-3212
Laura BorgeseINSTM and Chemistry for Technologies Laboratory, Department of Mechanical and Industrial Engineering, University of Brescia, 25121 Brescia, Italy.ORCID 0000-0003-3486-2656
Elza BontempiINSTM and Chemistry for Technologies Laboratory, Department of Mechanical and Industrial Engineering, University of Brescia, 25121 Brescia, Italy.ORCID 0000-0003-1656-7506
Simona RaneriDepartment of Earth Sciences, University of Florence, 50121 Florence, Italy.

Funding

MUR through the grant CARAMEL (New CArbothermic approaches to Recovery criticAl MEtals from spent Lithium-ions batteries) D73C24000220001Regione Toscana within the framework of the FESR 2021-2027 Program - Progetti Strategici di Ricerca e Sviluppo ARTU projectUniversity of Florence under the Progetti Competitivi Biennali per Ricercatori a Tempo Deter-minato (RTD) program for 2025-2026 LiCycle project
6 · The paper itself

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.

Indexed as

circular economyLIBSlithiumlithium-ion batteriesrecycling

Identifiers

PMID41471685
PMCPMC12736488

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.