Correlative imaging of large-scale geological samples using
LIBS and SEM-EDX automated mineralogy

J 2026

Correlative imaging of large-scale geological samples using LIBS and SEM-EDX automated mineralogy

BUDAY, Jakub; Jakub VÝRAVSKÝ; Jan CEMPÍREK; David PROCHAZKA; Pavel PORIZKA et al.

Základní údaje

Originální název

Correlative imaging of large-scale geological samples using LIBS and SEM-EDX automated mineralogy

Autoři

BUDAY, Jakub; Jakub VÝRAVSKÝ; Jan CEMPÍREK; David PROCHAZKA; Pavel PORIZKA a Jozef KAISER

Vydání

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, OXFORD, PERGAMON-ELSEVIER SCIENCE LTD, 2026, 0584-8547

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10504 Mineralogy

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 3.800 v roce 2024

Označené pro přenos do RIV

Ano

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova anglicky

Multi-elemental imaging; Clustering; Geology; Automated mineralogy; lithium; Pegmatites

Štítky

14315010, Analytical methods in mineralogy, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 11. 3. 2026 16:13, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

Elemental mapping of light (Li, Be, B, F) and trace elements in large-area geological samples represents an analytical challenge. Increased interest in Li and rare-element deposits results in the need for reliable mapping of light and trace elements. One of the possible solutions is laser-induced breakdown spectroscopy (LIBS) combined with sophisticated data processing. We studied four large-area (ca. 8 & Cross;8 cm) samples from two rare-element Berich granitic pegmatites with moderate contents of Li + Be (Mars & iacute;kov, Czech Republic) and high contents of Li + Be+B (Rau property, Yukon, Canada). Cross-sections from the host rock to the geochemically evolved center of the pegmatite were used for direct multi-element mapping, assisted semi-automated machine-learning-based mineral identification, and tracing of magmatic, metasomatic and hydrothermal processes. From the obtained LIBS data, elemental images of individual elements of interest were produced (incl. Li and Be), and unsupervised clustering to the spectra was applied. This led to cluster images manifesting the distribution of individual matrices (i.e., minerals). The outputs of clustering were visually and statistically compared to a phase map produced by a state-of-the-art SEM-EDS-based Automated mineralogy solution (TIMA) and the results show good agreement. The study demonstrates a very good applicability of LIBS for the detection and mapping of major (Si, Al, Fe, Mg, Mn, Ca, Na), light elements (Li, Be, B, F), and trace elements (Ge, Ga, Cu, Ti, Sr, Ba) in pegmatites, discerning their specific geochemical signatures corresponding to magmatic, metasomatic, and hydrothermal stage of their evolution. The EDS-based automated mineralogy offers a higher spatial resolution in general. Still, it cannot map light elements (H, Li, Be, B) and has between one to three orders of magnitude worse detection limit for many other elements (e.g. Ga...).

Návaznosti

TH79020002, projekt VaV

Název: Vyvinuté magmatické a pegmatitové systémy jako zdroje kritických surovin a průmyslových minerálů (Akronym: PegMat)

Investor: Technologická agentura ČR, Vyvinuté magmatické a pegmatitové systémy jako zdroje kritických surovin a průmyslových minerálů, ERA-MIN 2

Citovat

BUDAY, Jakub; Jakub VÝRAVSKÝ; Jan CEMPÍREK; David PROCHAZKA; Pavel PORIZKA a Jozef KAISER. Correlative imaging of large-scale geological samples using LIBS and SEM-EDX automated mineralogy. SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY. OXFORD: PERGAMON-ELSEVIER SCIENCE LTD, 2026, roč. 235, January, s. 1-12. ISSN 0584-8547. Dostupné z: https://doi.org/10.1016/j.sab.2025.107397.

@article{2547547,
   author = {Buday, Jakub and Výravský, Jakub and Cempírek, Jan and Prochazka, David and Porizka, Pavel and Kaiser, Jozef},
   article_location = {OXFORD},
   article_number = {January},
   doi = {https://doi.org/10.1016/j.sab.2025.107397},
   keywords = {Multi-elemental imaging; Clustering; Geology; Automated mineralogy; lithium; Pegmatites},
   language = {eng},
   issn = {0584-8547},
   journal = {SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY},
   title = {Correlative imaging of large-scale geological samples using LIBS and SEM-EDX automated mineralogy},
   url = {https://www.sciencedirect.com/science/article/pii/S0584854725002824},
   volume = {235},
   year = {2026}
}

TY  - JOUR
ID  - 2547547
AU  - Buday, Jakub - Výravský, Jakub - Cempírek, Jan - Prochazka, David - Porizka, Pavel - Kaiser, Jozef
PY  - 2026
TI  - Correlative imaging of large-scale geological samples using LIBS and SEM-EDX automated mineralogy
JF  - SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
VL  - 235
IS  - January
SP  - 1-12
EP  - 1-12
PB  - PERGAMON-ELSEVIER SCIENCE LTD
SN  - 05848547
KW  - Multi-elemental imaging
KW  - Clustering
KW  - Geology
KW  - Automated mineralogy
KW  - lithium
KW  - Pegmatites
UR  - https://www.sciencedirect.com/science/article/pii/S0584854725002824
N2  - Elemental mapping of light (Li, Be, B, F) and trace elements in large-area geological samples represents an analytical challenge. Increased interest in Li and rare-element deposits results in the need for reliable mapping of light and trace elements. One of the possible solutions is laser-induced breakdown spectroscopy (LIBS) combined with sophisticated data processing. We studied four large-area (ca. 8 & Cross;8 cm) samples from two rare-element Berich granitic pegmatites with moderate contents of Li + Be (Mars & iacute;kov, Czech Republic) and high contents of Li + Be+B (Rau property, Yukon, Canada). Cross-sections from the host rock to the geochemically evolved center of the pegmatite were used for direct multi-element mapping, assisted semi-automated machine-learning-based mineral identification, and tracing of magmatic, metasomatic and hydrothermal processes. From the obtained LIBS data, elemental images of individual elements of interest were produced (incl. Li and Be), and unsupervised clustering to the spectra was applied. This led to cluster images manifesting the distribution of individual matrices (i.e., minerals). The outputs of clustering were visually and statistically compared to a phase map produced by a state-of-the-art SEM-EDS-based Automated mineralogy solution (TIMA) and the results show good agreement. The study demonstrates a very good applicability of LIBS for the detection and mapping of major (Si, Al, Fe, Mg, Mn, Ca, Na), light elements (Li, Be, B, F), and trace elements (Ge, Ga, Cu, Ti, Sr, Ba) in pegmatites, discerning their specific geochemical signatures corresponding to magmatic, metasomatic, and hydrothermal stage of their evolution. The EDS-based automated mineralogy offers a higher spatial resolution in general. Still, it cannot map light elements (H, Li, Be, B) and has between one to three orders of magnitude worse detection limit for many other elements (e.g. Ga...).
ER  -

BUDAY, Jakub; Jakub VÝRAVSKÝ; Jan CEMPÍREK; David PROCHAZKA; Pavel PORIZKA a Jozef KAISER. Correlative imaging of large-scale geological samples using LIBS and SEM-EDX automated mineralogy. \textit{SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY}. OXFORD: PERGAMON-ELSEVIER SCIENCE LTD, 2026, roč.~235, January, s.~1-12. ISSN~0584-8547. Dostupné z: https://doi.org/10.1016/j.sab.2025.107397.

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