Tandem Massenspektrometrie ermöglicht eine robuste und genaue bakterielle Identifizierung

mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) 2026 Thesis Open access

Read full text
Authors: Miriam Abele
Cited by: 0

Abstract

Microbial identification is essential in clinics and food surveillance. This thesis evaluates the potential of bottom-up proteomics for bacterial identification on a sub-species level. A robust sample preparation workflow was combined with a simple, yet powerful algorithm. A 303-species large ground truth dataset demonstrates the excellent taxonomic resolution of this approach. The workflow was applied to food-derived and clinical isolates.

Fields of Study & Subjects

Bacterial Identification and Susceptibility Testing Advanced Proteomics Techniques and Applications Mass Spectrometry Techniques and Applications

Publication details

Journal / source
mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich)
Publication date
2 February 2026
Language
EN
Document type
Thesis