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DA_2DCHROM — a data alignment tool for applications on real GC × GC–TOF samples

Comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC × GC–MS) has great potential for analyses of complicated mixtures and sample matrices, due to its separation power and possible high resolution. The second component of the measurement results, the mass spectra, is r...

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Autores principales: Ladislavová, Nikola, Pojmanová, Petra, Urban, Štěpán
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149467/
https://www.ncbi.nlm.nih.gov/pubmed/37036485
http://dx.doi.org/10.1007/s00216-023-04679-7
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author Ladislavová, Nikola
Pojmanová, Petra
Urban, Štěpán
author_facet Ladislavová, Nikola
Pojmanová, Petra
Urban, Štěpán
author_sort Ladislavová, Nikola
collection PubMed
description Comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC × GC–MS) has great potential for analyses of complicated mixtures and sample matrices, due to its separation power and possible high resolution. The second component of the measurement results, the mass spectra, is reproducible. However, the reproducibility of two-dimensional chromatography is affected by many factors and makes the evaluation of long-term experiments or cross-laboratory collaborations complicated. This paper presents a new open-source data alignment tool to tackle the problem of retention time shifts — with 5 different algorithms implemented: BiPACE 2D, DISCO, MSort, PAM, and TNT-DA, along with Pearson’s correlation and dot product as optional methods for mass spectra comparison. The implemented data alignment algorithms and their variations were tested on real samples to demonstrate the functionality of the presented tool. The suitability of each implemented algorithm for significantly/non-significantly shifted data was discussed on the basis of the results obtained. For the evaluation of the “goodness” of the alignment, Kolmogorov–Smirnov test values were calculated, and comparison graphs were generated. The DA_2DChrom is available online with its documentation, fully open-sourced, and the user can use the tool without the need of uploading their data to external third-party servers. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-023-04679-7.
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spelling pubmed-101494672023-05-02 DA_2DCHROM — a data alignment tool for applications on real GC × GC–TOF samples Ladislavová, Nikola Pojmanová, Petra Urban, Štěpán Anal Bioanal Chem Research Paper Comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC × GC–MS) has great potential for analyses of complicated mixtures and sample matrices, due to its separation power and possible high resolution. The second component of the measurement results, the mass spectra, is reproducible. However, the reproducibility of two-dimensional chromatography is affected by many factors and makes the evaluation of long-term experiments or cross-laboratory collaborations complicated. This paper presents a new open-source data alignment tool to tackle the problem of retention time shifts — with 5 different algorithms implemented: BiPACE 2D, DISCO, MSort, PAM, and TNT-DA, along with Pearson’s correlation and dot product as optional methods for mass spectra comparison. The implemented data alignment algorithms and their variations were tested on real samples to demonstrate the functionality of the presented tool. The suitability of each implemented algorithm for significantly/non-significantly shifted data was discussed on the basis of the results obtained. For the evaluation of the “goodness” of the alignment, Kolmogorov–Smirnov test values were calculated, and comparison graphs were generated. The DA_2DChrom is available online with its documentation, fully open-sourced, and the user can use the tool without the need of uploading their data to external third-party servers. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-023-04679-7. Springer Berlin Heidelberg 2023-04-10 2023 /pmc/articles/PMC10149467/ /pubmed/37036485 http://dx.doi.org/10.1007/s00216-023-04679-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Paper
Ladislavová, Nikola
Pojmanová, Petra
Urban, Štěpán
DA_2DCHROM — a data alignment tool for applications on real GC × GC–TOF samples
title DA_2DCHROM — a data alignment tool for applications on real GC × GC–TOF samples
title_full DA_2DCHROM — a data alignment tool for applications on real GC × GC–TOF samples
title_fullStr DA_2DCHROM — a data alignment tool for applications on real GC × GC–TOF samples
title_full_unstemmed DA_2DCHROM — a data alignment tool for applications on real GC × GC–TOF samples
title_short DA_2DCHROM — a data alignment tool for applications on real GC × GC–TOF samples
title_sort da_2dchrom — a data alignment tool for applications on real gc × gc–tof samples
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149467/
https://www.ncbi.nlm.nih.gov/pubmed/37036485
http://dx.doi.org/10.1007/s00216-023-04679-7
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