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Methodology for the Implementation of Internal Standard to Laser-Induced Breakdown Spectroscopy Analysis of Soft Tissues
The improving performance of the laser-induced breakdown spectroscopy (LIBS) triggered its utilization in the challenging topic of soft tissue analysis. Alterations of elemental content within soft tissues are commonly assessed and provide further insights in biological research. However, the laser...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866291/ https://www.ncbi.nlm.nih.gov/pubmed/33572796 http://dx.doi.org/10.3390/s21030900 |
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author | Šindelářová, Anna Pořízka, Pavel Modlitbová, Pavlína Vrlíková, Lucie Kiss, Kateřina Kaška, Milan Prochazka, David Vrábel, Jakub Buchtová, Marcela Kaiser, Jozef |
author_facet | Šindelářová, Anna Pořízka, Pavel Modlitbová, Pavlína Vrlíková, Lucie Kiss, Kateřina Kaška, Milan Prochazka, David Vrábel, Jakub Buchtová, Marcela Kaiser, Jozef |
author_sort | Šindelářová, Anna |
collection | PubMed |
description | The improving performance of the laser-induced breakdown spectroscopy (LIBS) triggered its utilization in the challenging topic of soft tissue analysis. Alterations of elemental content within soft tissues are commonly assessed and provide further insights in biological research. However, the laser ablation of soft tissues is a complex issue and demands a priori optimization, which is not straightforward in respect to a typical LIBS experiment. Here, we focus on implementing an internal standard into the LIBS elemental analysis of soft tissue samples. We achieve this by extending routine methodology for optimization of soft tissues analysis with a standard spiking method. This step enables a robust optimization procedure of LIBS experimental settings. Considering the implementation of LIBS analysis to the histological routine, we avoid further alterations of the tissue structure. Therefore, we propose a unique methodology of sample preparation, analysis, and subsequent data treatment, which enables the comparison of signal response from heterogenous matrix for different LIBS parameters. Additionally, a brief step-by-step process of optimization to achieve the highest signal-to-noise ratio (SNR) is described. The quality of laser–tissue interaction is investigated on the basis of the zinc signal response, while selected experimental parameters (e.g., defocus, gate delay, laser energy, and ambient atmosphere) are systematically modified. |
format | Online Article Text |
id | pubmed-7866291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78662912021-02-07 Methodology for the Implementation of Internal Standard to Laser-Induced Breakdown Spectroscopy Analysis of Soft Tissues Šindelářová, Anna Pořízka, Pavel Modlitbová, Pavlína Vrlíková, Lucie Kiss, Kateřina Kaška, Milan Prochazka, David Vrábel, Jakub Buchtová, Marcela Kaiser, Jozef Sensors (Basel) Technical Note The improving performance of the laser-induced breakdown spectroscopy (LIBS) triggered its utilization in the challenging topic of soft tissue analysis. Alterations of elemental content within soft tissues are commonly assessed and provide further insights in biological research. However, the laser ablation of soft tissues is a complex issue and demands a priori optimization, which is not straightforward in respect to a typical LIBS experiment. Here, we focus on implementing an internal standard into the LIBS elemental analysis of soft tissue samples. We achieve this by extending routine methodology for optimization of soft tissues analysis with a standard spiking method. This step enables a robust optimization procedure of LIBS experimental settings. Considering the implementation of LIBS analysis to the histological routine, we avoid further alterations of the tissue structure. Therefore, we propose a unique methodology of sample preparation, analysis, and subsequent data treatment, which enables the comparison of signal response from heterogenous matrix for different LIBS parameters. Additionally, a brief step-by-step process of optimization to achieve the highest signal-to-noise ratio (SNR) is described. The quality of laser–tissue interaction is investigated on the basis of the zinc signal response, while selected experimental parameters (e.g., defocus, gate delay, laser energy, and ambient atmosphere) are systematically modified. MDPI 2021-01-29 /pmc/articles/PMC7866291/ /pubmed/33572796 http://dx.doi.org/10.3390/s21030900 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Technical Note Šindelářová, Anna Pořízka, Pavel Modlitbová, Pavlína Vrlíková, Lucie Kiss, Kateřina Kaška, Milan Prochazka, David Vrábel, Jakub Buchtová, Marcela Kaiser, Jozef Methodology for the Implementation of Internal Standard to Laser-Induced Breakdown Spectroscopy Analysis of Soft Tissues |
title | Methodology for the Implementation of Internal Standard to Laser-Induced Breakdown Spectroscopy Analysis of Soft Tissues |
title_full | Methodology for the Implementation of Internal Standard to Laser-Induced Breakdown Spectroscopy Analysis of Soft Tissues |
title_fullStr | Methodology for the Implementation of Internal Standard to Laser-Induced Breakdown Spectroscopy Analysis of Soft Tissues |
title_full_unstemmed | Methodology for the Implementation of Internal Standard to Laser-Induced Breakdown Spectroscopy Analysis of Soft Tissues |
title_short | Methodology for the Implementation of Internal Standard to Laser-Induced Breakdown Spectroscopy Analysis of Soft Tissues |
title_sort | methodology for the implementation of internal standard to laser-induced breakdown spectroscopy analysis of soft tissues |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866291/ https://www.ncbi.nlm.nih.gov/pubmed/33572796 http://dx.doi.org/10.3390/s21030900 |
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