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Tissue classification by rapid evaporative ionization mass spectrometry (REIMS): comparison between a diathermic knife and CO(2) laser sampling on classification performance

The increasing need for rapid, in situ, and robust tissue profiling approaches in the context of intraoperative diagnostics has led to the development of a large number of ambient ionization-based surface sampling strategies. This paper compares the performances of a diathermic knife and a CO(2) las...

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Autores principales: Genangeli, Michele, Heeren, Ron M. A., Porta Siegel, Tiffany
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920236/
https://www.ncbi.nlm.nih.gov/pubmed/31713015
http://dx.doi.org/10.1007/s00216-019-02148-8
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author Genangeli, Michele
Heeren, Ron M. A.
Porta Siegel, Tiffany
author_facet Genangeli, Michele
Heeren, Ron M. A.
Porta Siegel, Tiffany
author_sort Genangeli, Michele
collection PubMed
description The increasing need for rapid, in situ, and robust tissue profiling approaches in the context of intraoperative diagnostics has led to the development of a large number of ambient ionization-based surface sampling strategies. This paper compares the performances of a diathermic knife and a CO(2) laser handpiece, both clinically approved, coupled to a rapid evaporative ionization mass spectrometry (REIMS) source for quasi-instantaneous tissue classification. Several fresh meat samples (muscle, liver, bone, bone marrow, cartilage, skin, fat) were obtained from different animals. Overall, the laser produced cleaner cuts and more reproducible and higher spectral quality signals when compared with the diathermic knife (CV laser = 9–12%, CV diathermic = 14–23%). The molecular profiles were subsequently entered into a database and PCA/LDA classification/prediction models were built to assess if the data generated with one sampling modality can be employed to classify the data generated with the other handpiece. We demonstrate that the correct classification rate of the models increases (+ 25%) with the introduction of a model based on peak lists that are tissue-specific and common to the two handpieces, compared with considering solely the whole molecular profile. This renders it possible to use a unique and universal database for quasi-instantaneous tissue recognition which would provide similar classification results independent of the handpiece used. Furthermore, the laser was able to generate aerosols rich in lipids from hard tissues such as bone, bone marrow, and cartilage. Combined, these results demonstrate that REIMS is a valuable and versatile tool for instantaneous identification/classification of hard tissue and coupling to different aerosol-generating handpieces expands its field of application. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00216-019-02148-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-69202362019-12-30 Tissue classification by rapid evaporative ionization mass spectrometry (REIMS): comparison between a diathermic knife and CO(2) laser sampling on classification performance Genangeli, Michele Heeren, Ron M. A. Porta Siegel, Tiffany Anal Bioanal Chem Paper in Forefront The increasing need for rapid, in situ, and robust tissue profiling approaches in the context of intraoperative diagnostics has led to the development of a large number of ambient ionization-based surface sampling strategies. This paper compares the performances of a diathermic knife and a CO(2) laser handpiece, both clinically approved, coupled to a rapid evaporative ionization mass spectrometry (REIMS) source for quasi-instantaneous tissue classification. Several fresh meat samples (muscle, liver, bone, bone marrow, cartilage, skin, fat) were obtained from different animals. Overall, the laser produced cleaner cuts and more reproducible and higher spectral quality signals when compared with the diathermic knife (CV laser = 9–12%, CV diathermic = 14–23%). The molecular profiles were subsequently entered into a database and PCA/LDA classification/prediction models were built to assess if the data generated with one sampling modality can be employed to classify the data generated with the other handpiece. We demonstrate that the correct classification rate of the models increases (+ 25%) with the introduction of a model based on peak lists that are tissue-specific and common to the two handpieces, compared with considering solely the whole molecular profile. This renders it possible to use a unique and universal database for quasi-instantaneous tissue recognition which would provide similar classification results independent of the handpiece used. Furthermore, the laser was able to generate aerosols rich in lipids from hard tissues such as bone, bone marrow, and cartilage. Combined, these results demonstrate that REIMS is a valuable and versatile tool for instantaneous identification/classification of hard tissue and coupling to different aerosol-generating handpieces expands its field of application. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00216-019-02148-8) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2019-11-11 2019 /pmc/articles/PMC6920236/ /pubmed/31713015 http://dx.doi.org/10.1007/s00216-019-02148-8 Text en © The Author(s) 2019 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 Paper in Forefront
Genangeli, Michele
Heeren, Ron M. A.
Porta Siegel, Tiffany
Tissue classification by rapid evaporative ionization mass spectrometry (REIMS): comparison between a diathermic knife and CO(2) laser sampling on classification performance
title Tissue classification by rapid evaporative ionization mass spectrometry (REIMS): comparison between a diathermic knife and CO(2) laser sampling on classification performance
title_full Tissue classification by rapid evaporative ionization mass spectrometry (REIMS): comparison between a diathermic knife and CO(2) laser sampling on classification performance
title_fullStr Tissue classification by rapid evaporative ionization mass spectrometry (REIMS): comparison between a diathermic knife and CO(2) laser sampling on classification performance
title_full_unstemmed Tissue classification by rapid evaporative ionization mass spectrometry (REIMS): comparison between a diathermic knife and CO(2) laser sampling on classification performance
title_short Tissue classification by rapid evaporative ionization mass spectrometry (REIMS): comparison between a diathermic knife and CO(2) laser sampling on classification performance
title_sort tissue classification by rapid evaporative ionization mass spectrometry (reims): comparison between a diathermic knife and co(2) laser sampling on classification performance
topic Paper in Forefront
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920236/
https://www.ncbi.nlm.nih.gov/pubmed/31713015
http://dx.doi.org/10.1007/s00216-019-02148-8
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