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A comparison of sample preparation strategies for biological tissues and subsequent trace element analysis using LA-ICP-MS

Laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) is one of the most commonly applied methods for lateral trace element distribution analysis in medical studies. Many improvements of the technique regarding quantification and achievable lateral resolution have been achieved in...

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Autores principales: Bonta, Maximilian, Török, Szilvia, Hegedus, Balazs, Döme, Balazs, Limbeck, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591616/
https://www.ncbi.nlm.nih.gov/pubmed/27966170
http://dx.doi.org/10.1007/s00216-016-0124-6
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author Bonta, Maximilian
Török, Szilvia
Hegedus, Balazs
Döme, Balazs
Limbeck, Andreas
author_facet Bonta, Maximilian
Török, Szilvia
Hegedus, Balazs
Döme, Balazs
Limbeck, Andreas
author_sort Bonta, Maximilian
collection PubMed
description Laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) is one of the most commonly applied methods for lateral trace element distribution analysis in medical studies. Many improvements of the technique regarding quantification and achievable lateral resolution have been achieved in the last years. Nevertheless, sample preparation is also of major importance and the optimal sample preparation strategy still has not been defined. While conventional histology knows a number of sample pre-treatment strategies, little is known about the effect of these approaches on the lateral distributions of elements and/or their quantities in tissues. The technique of formalin fixation and paraffin embedding (FFPE) has emerged as the gold standard in tissue preparation. However, the potential use for elemental distribution studies is questionable due to a large number of sample preparation steps. In this work, LA-ICP-MS was used to examine the applicability of the FFPE sample preparation approach for elemental distribution studies. Qualitative elemental distributions as well as quantitative concentrations in cryo-cut tissues as well as FFPE samples were compared. Results showed that some metals (especially Na and K) are severely affected by the FFPE process, whereas others (e.g., Mn, Ni) are less influenced. Based on these results, a general recommendation can be given: FFPE samples are completely unsuitable for the analysis of alkaline metals. When analyzing transition metals, FFPE samples can give comparable results to snap-frozen tissues. [Figure: see text]
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spelling pubmed-55916162017-09-25 A comparison of sample preparation strategies for biological tissues and subsequent trace element analysis using LA-ICP-MS Bonta, Maximilian Török, Szilvia Hegedus, Balazs Döme, Balazs Limbeck, Andreas Anal Bioanal Chem Research Paper Laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) is one of the most commonly applied methods for lateral trace element distribution analysis in medical studies. Many improvements of the technique regarding quantification and achievable lateral resolution have been achieved in the last years. Nevertheless, sample preparation is also of major importance and the optimal sample preparation strategy still has not been defined. While conventional histology knows a number of sample pre-treatment strategies, little is known about the effect of these approaches on the lateral distributions of elements and/or their quantities in tissues. The technique of formalin fixation and paraffin embedding (FFPE) has emerged as the gold standard in tissue preparation. However, the potential use for elemental distribution studies is questionable due to a large number of sample preparation steps. In this work, LA-ICP-MS was used to examine the applicability of the FFPE sample preparation approach for elemental distribution studies. Qualitative elemental distributions as well as quantitative concentrations in cryo-cut tissues as well as FFPE samples were compared. Results showed that some metals (especially Na and K) are severely affected by the FFPE process, whereas others (e.g., Mn, Ni) are less influenced. Based on these results, a general recommendation can be given: FFPE samples are completely unsuitable for the analysis of alkaline metals. When analyzing transition metals, FFPE samples can give comparable results to snap-frozen tissues. [Figure: see text] Springer Berlin Heidelberg 2016-12-14 2017 /pmc/articles/PMC5591616/ /pubmed/27966170 http://dx.doi.org/10.1007/s00216-016-0124-6 Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Paper
Bonta, Maximilian
Török, Szilvia
Hegedus, Balazs
Döme, Balazs
Limbeck, Andreas
A comparison of sample preparation strategies for biological tissues and subsequent trace element analysis using LA-ICP-MS
title A comparison of sample preparation strategies for biological tissues and subsequent trace element analysis using LA-ICP-MS
title_full A comparison of sample preparation strategies for biological tissues and subsequent trace element analysis using LA-ICP-MS
title_fullStr A comparison of sample preparation strategies for biological tissues and subsequent trace element analysis using LA-ICP-MS
title_full_unstemmed A comparison of sample preparation strategies for biological tissues and subsequent trace element analysis using LA-ICP-MS
title_short A comparison of sample preparation strategies for biological tissues and subsequent trace element analysis using LA-ICP-MS
title_sort comparison of sample preparation strategies for biological tissues and subsequent trace element analysis using la-icp-ms
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591616/
https://www.ncbi.nlm.nih.gov/pubmed/27966170
http://dx.doi.org/10.1007/s00216-016-0124-6
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