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plug im ! software for comprehensive two-dimensional gas chromatography with vacuum ultraviolet detection - A tutorial

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Title: plug im ! software for comprehensive two-dimensional gas chromatography with vacuum ultraviolet detection - A tutorial
Authors: Lelevic, Aleksandra, Souchon, Vincent, Geantet, C., Lorentz, C., Moreaud, Maxime
Contributors: IRCELYON-Catalyse Hétérogène pour la Transition Energétique (IRCELYON-CATREN), Institut de recherches sur la catalyse et l'environnement de Lyon (IRCELYON), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS), IFP Energies nouvelles (IFPEN), IRCELYON-RMN (IRCELYON-RMN)
Source: ISSN: 0169-7439 ; Chemometrics and Intelligent Laboratory Systems ; https://hal.science/hal-03905741 ; Chemometrics and Intelligent Laboratory Systems, 2022, 231, pp.104708. ⟨10.1016/j.chemolab.2022.104708⟩.
Publisher Information: CCSD
Elsevier
Publication Year: 2022
Collection: Université de Lyon: HAL
Subject Terms: Comprehensive two-dimensional gas chromatography, Vacuum ultraviolet absorbance spectroscopy, Data processing software, [CHIM.CATA]Chemical Sciences/Catalysis, [SDE.ES]Environmental Sciences/Environment and Society
Description: fff ; International audience ; The use of two-dimensional gas chromatography hyphenated with vacuum ultraviolet absorbance spectroscopy (GC × GC − VUV) is constantly finding new applications. To qualitatively and quantitively exploit the information obtained with this type of analysis, suitable softwares are needed. However, to date, existing multidimensional chromatography softwares are not fully adapted to this type of data and offer only limited processing capabilities. Moreover, other solutions often rely on homemade programs that are not accessible to new users. For these reasons, several data processing modules for GC × GC − VUV data were developed and were integrated into the free access plug im ! software (https://www.plugim.fr/plugin/107). The usage guidelines and functionalities of the proposed modules are described, and several video tutorials are supplied. The proposed modules allow to visualize and preprocess GC × GC − VUV data. The extraction of spectra for user-designed template zones is also made possible which enables their further use for both quantification and spectral decomposition. These tools also result in more sensitive methods thanks to the increase of the signal-to-noise ratio through application of adapted data preprocessing.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1016/j.chemolab.2022.104708
Availability: https://hal.science/hal-03905741
https://hal.science/hal-03905741v1/document
https://hal.science/hal-03905741v1/file/Plugim.pdf
https://doi.org/10.1016/j.chemolab.2022.104708
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.6ABB5789
Database: BASE
Description
Abstract:fff ; International audience ; The use of two-dimensional gas chromatography hyphenated with vacuum ultraviolet absorbance spectroscopy (GC × GC − VUV) is constantly finding new applications. To qualitatively and quantitively exploit the information obtained with this type of analysis, suitable softwares are needed. However, to date, existing multidimensional chromatography softwares are not fully adapted to this type of data and offer only limited processing capabilities. Moreover, other solutions often rely on homemade programs that are not accessible to new users. For these reasons, several data processing modules for GC × GC − VUV data were developed and were integrated into the free access plug im ! software (https://www.plugim.fr/plugin/107). The usage guidelines and functionalities of the proposed modules are described, and several video tutorials are supplied. The proposed modules allow to visualize and preprocess GC × GC − VUV data. The extraction of spectra for user-designed template zones is also made possible which enables their further use for both quantification and spectral decomposition. These tools also result in more sensitive methods thanks to the increase of the signal-to-noise ratio through application of adapted data preprocessing.
DOI:10.1016/j.chemolab.2022.104708