Por favor, use este identificador para citar o enlazar este ítem:
10.1038/s41598-020-79014-6
Twittear
Título: | Data preprocessing workflow for exhaled breath analysis by GC/MS using open sources |
Fecha de publicación: | 2020 |
Cita bibliográfica: | Scientific Reports | (2020) 10:22008 |
ISSN: | 2045-2322 |
Materias relacionadas: | CDU::5 - Ciencias puras y naturales::57 - Biología::577 - Bioquímica. Biología molecular. Biofísica |
Palabras clave: | exhaled breath GC/ MS |
Resumen: | The noninvasive diagnosis and monitoring of high prevalence diseases such as cardiovascular diseases, cancers and chronic respiratory diseases are currently priority objectives in the area of health. In this regard, the analysis of volatile organic compounds (VOCs) has been identified as a potential noninvasive tool for the diagnosis and surveillance of several diseases. Despite the advantages of this strategy, it is not yet a routine clinical tool. The lack of reproducible protocols for each step of the biomarker discovery phase is an obstacle of the current state. Specifically, this issue is present at the data preprocessing step. Thus, an open source workflow for preprocessing the data obtained by the analysis of exhaled breath samples using gas chromatography coupled with single quadrupole mass spectrometry (GC/MS) is presented in this paper. This workflow is based on the connection of two approaches to transform raw data into a useful matrix for statistical analysis. Moreover, this workflow includes matching compounds from breath samples with a spectral library. Three free packages (xcms, cliqueMS and eRah) written in the language R are used for this purpose. Furthermore, this paper presents a suitable protocol for exhaled breath sample collection from infants under 2 years of age for GC/MS. |
Autor/es principal/es: | Sola Martínez, Rosa Alba Pastor Hernández, José María Lozano-Terol, Gema Gallego Jara, Julia García-Marcos Álvarez, Luis Vicente Cánovas Díaz, Manuel de Diego Puente, Teresa Teresa |
Facultad/Departamentos/Servicios: | Department of Biochemistry and Molecular Biology (B)and Immunology , Faculty of Chemistry, University of Murcia |
URI: | http://hdl.handle.net/10201/113698 |
DOI: | 10.1038/s41598-020-79014-6 |
Tipo de documento: | info:eu-repo/semantics/article |
Número páginas / Extensión: | 12 |
Derechos: | info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
Aparece en las colecciones: | Artículos: Bioquímica y Biología Molecular "B" e Inmunología |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Scientific Reports 2020, 10.pdf | 4,36 MB | Adobe PDF | Visualizar/Abrir |
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons