plug im ! software for comprehensive two-dimensional gas chromatography with vacuum ultraviolet detection - A tutorial
Gespeichert in:
| Titel: | plug im ! software for comprehensive two-dimensional gas chromatography with vacuum ultraviolet detection - A tutorial |
|---|---|
| Autoren: | Lelevic, Aleksandra, Souchon, Vincent, Geantet, C., Lorentz, C., Moreaud, Maxime |
| Weitere Verfasser: | 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) |
| Quelle: | 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⟩. |
| Verlagsinformationen: | CCSD Elsevier |
| Publikationsjahr: | 2022 |
| Bestand: | Université de Lyon: HAL |
| Schlagwörter: | Comprehensive two-dimensional gas chromatography, Vacuum ultraviolet absorbance spectroscopy, Data processing software, [CHIM.CATA]Chemical Sciences/Catalysis, [SDE.ES]Environmental Sciences/Environment and Society |
| Beschreibung: | 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. |
| Publikationsart: | article in journal/newspaper |
| Sprache: | English |
| DOI: | 10.1016/j.chemolab.2022.104708 |
| Verfügbarkeit: | 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 |
| Dokumentencode: | edsbas.6ABB5789 |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | 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 |