EVALUATING COMMERCIAL VS. OPENSOURCE DATA PROCESSING METHODS IN GC-ORBITRAP-HRMS UNTARGETED METABOLOMICS FOR FOOD AUTHENTICATION: THYME AS A CASE STUDY
Published: 13 May 2024| Version 1 | DOI: 10.17632/969xws24rm.1
Contributors:
Araceli Rivera-Pérez, Description
Supplementary Information of the article entitled "Comparison of data processing strategies using commercial vs. open source software in GC-Orbitrap-HRMS untargeted metabolomics analysis for food authentication. Thyme geographical differentiation and marker identification as a case study"
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Please cite Rivera-Pérez et al. for the use of this data.
Institutions
- Universidad de Almeria
Categories
Gas Chromatography, Metabolomics, Orbitrap Mass Spectrometry, Food Authentication, Data Processing