Analysis of Laser Induced Breakdown Spectroscopy Data Acquired from the Boundary of Two Matrices

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU144135" target="_blank" >RIV/00216305:26210/22:PU144135 - isvavai.cz</a>

Výsledek na webu

<a href="https://journals.sagepub.com/doi/10.1177/00037028221076852" target="_blank" >https://journals.sagepub.com/doi/10.1177/00037028221076852</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1177/00037028221076852" target="_blank" >10.1177/00037028221076852</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of Laser Induced Breakdown Spectroscopy Data Acquired from the Boundary of Two Matrices

Popis výsledku v původním jazyce

Laser-Induced Breakdown Spectroscopy (LIBS) data obtained from the elemental imaging of heterogeneous samples are processed with various chemometric algorithms. The intention is to cluster obtained characteristic spectra and to provide additional information about the sample surface composition and distribution of individual matrices. However, there is a grey zone on the boundary of two matrices and the consequent clustering of the spectra obtained on this boundary is ambiguous. This paper focuses on the transition between two well defined matrices in a simplified case for a better transparency in data visualization. Steel and aluminum samples that are represented by characteristic spectra with significantly distinct structures (e.g., different number of spectral lines). Using a carefully designed experiment, several Fe:Al ratios were ablated and analyzed by Principal Component Analysis, Self-Organizing Maps and standard data metrics. This paper shows the strategy in discrimination of unrecognized spectra and possibilities in their clustering.

Název v anglickém jazyce

Analysis of Laser Induced Breakdown Spectroscopy Data Acquired from the Boundary of Two Matrices

Popis výsledku anglicky

Laser-Induced Breakdown Spectroscopy (LIBS) data obtained from the elemental imaging of heterogeneous samples are processed with various chemometric algorithms. The intention is to cluster obtained characteristic spectra and to provide additional information about the sample surface composition and distribution of individual matrices. However, there is a grey zone on the boundary of two matrices and the consequent clustering of the spectra obtained on this boundary is ambiguous. This paper focuses on the transition between two well defined matrices in a simplified case for a better transparency in data visualization. Steel and aluminum samples that are represented by characteristic spectra with significantly distinct structures (e.g., different number of spectral lines). Using a carefully designed experiment, several Fe:Al ratios were ablated and analyzed by Principal Component Analysis, Self-Organizing Maps and standard data metrics. This paper shows the strategy in discrimination of unrecognized spectra and possibilities in their clustering.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10403 - Physical chemistry

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

APPLIED SPECTROSCOPY

ISSN

0003-7028

e-ISSN

1943-3530

Svazek periodika

neuveden

Číslo periodika v rámci svazku

2022-05-12

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

1-9

Kód UT WoS článku

000798887300001

EID výsledku v databázi Scopus

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