Record link: 
http://hdl.handle.net/20.500.12708/232071
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Title: 
Revealing tire wear particles in zebrafish guts by LA-ICP-MS-based elemental fingerprinting and machine learning
en
Citation: 
Brunnbauer, L., Juračka, Š., Vykypělová, M., Vrlíková, L., Eitenberger, E., Pořízka, P., Adamovský, O., Kaiser, J., Kalcikova, G., & Limbeck, A. (2026, February 3). Revealing tire wear particles in zebrafish guts by LA-ICP-MS-based elemental fingerprinting and machine learning [Conference Presentation]. MICROPLASTICdays 2026, Ljubljana, Slovenia. http://hdl.handle.net/20.500.12708/232071
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Publication Type: 
Presentation - Conference Presentation
en
Language: 
English
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Authors: 
Brunnbauer, Lukas 
Juračka, Šimon 
Vykypělová, Michaela 
Vrlíková, Lucie 
Eitenberger, Elisabeth 
Pořízka, Pavel 
Adamovský, Ondřej 
Kaiser, Jozef 
Kalcikova, Gabriela 
Limbeck, Andreas 
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Organisational Unit: 
E164-01-2 - Forschungsgruppe Oberflächen-, Spurenanalytik und Chemometrie 
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Date (published): 
3-Feb-2026
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Event name: 
MICROPLASTICdays 2026 
en
Event date: 
3-Feb-2026 - 5-Feb-2026
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Event place: 
Ljubljana, Slovenia
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Keywords: 
LA-ICP-MS; machine learning
en
Research Areas: 
Materials Characterization: 100%
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Science Branch: 
1040 - Chemie: 100%
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