Betsy Carolina Muñoz de Páez

Untargeted LC-HRMS/MS and Feature-Based Molecular Networking Reveal Distinct Metabolic Signatures in Edible Dahlia Types

Edible flowers represent chemically diverse food matrices whose characterization increasingly relies on advanced metabolomic approaches. This study employed untargeted liquid chromatography–high-resolution tandem mass spectrometry (LC-HRMS/MS) combined with feature-based molecular networking (FBMN) to characterize and...