Title: | gc-ims-tools - A new Python package for chemometric analysis of GC-IMS data |
Author(s): | Christmann J; Rohn S; Weller P; |
Address: | "Institute for Instrumental Analytics and Bioanalysis, Mannheim University of Applied Sciences, Paul-Wittsack-Strasse 10, 68163 Mannheim, Germany; Hamburg School of Food Science, University of Hamburg, Grindelallee 117, 20146 Hamburg, Germany. Hamburg School of Food Science, University of Hamburg, Grindelallee 117, 20146 Hamburg, Germany; Department of Food Chemistry and Analysis, Institute of Food, Technology and Food Chemistry, Technische Universitat Berlin, TIB 4/3-1, Gustav-Meyer-Allee 25, 13355 Berlin, Germany. Institute for Instrumental Analytics and Bioanalysis, Mannheim University of Applied Sciences, Paul-Wittsack-Strasse 10, 68163 Mannheim, Germany. Electronic address: p.weller@hs-mannheim.de" |
DOI: | 10.1016/j.foodchem.2022.133476 |
ISSN/ISBN: | 1873-7072 (Electronic) 0308-8146 (Linking) |
Abstract: | "Due to its high sensitivity and resolving power, gas chromatography ion mobility spectrometry (GC-IMS) is an emerging benchtop technique for non-target screening of complex sample materials. Given the wide range of applications, such as food authenticity, custom data analysis workflows are needed. As a common basis, they necessarily share many functionalities such as file input/output, preprocessing methods, exploratory or supervised analysis and visualizations. This study introduces a new open source, fully customizable Python package for handling and analysis of GC-IMS data. A workflow to classify olive oils by geographical origin exemplarily demonstrates functionality and ease of use. Key preprocessing steps, exploratory - and supervised data analysis and feature selections are visualized. All code and detailed documentation are freely available as open source under the BSD 3-clause license at https://github.com/Charisma-Mannheim/gc-ims-tools" |
Keywords: | Chemometrics Gas Chromatography-Mass Spectrometry/methods *Ion Mobility Spectrometry/methods Olive Oil/chemistry *Volatile Organic Compounds/analysis Food authenticity Gc-ims Non-target screening Python; |
Notes: | "MedlineChristmann, Joscha Rohn, Sascha Weller, Philipp eng England 2022/06/20 Food Chem. 2022 Nov 15; 394:133476. doi: 10.1016/j.foodchem.2022.133476. Epub 2022 Jun 13" |