Metabolomics the hague 2

Poster Hall Metabolomics & Lipidomics

The research field metabolomics aims at a comprehensive qualitative and quantitative analysis of all small molecules present in a cell, a tissue or even a whole organism. Responding to intrinsic or extrinsic triggers, the entirety of compounds will change. And the goal of studying these responses is to get a more holistic picture to understand e.g. the emergence and progression of diseases.

The lipidome can be considered a subset of the metabolome, covering all lipophilic compounds. Many lipids play important roles for example in cell communication and are associated with metabolic diseases. The similarity in the physical properties of lipids, despite their structural diversity demands for dedicated workflow solutions. These are different compared to classical metabolomics approaches. Both applications are supported in MetaboScape and both are facilitated by the additional dimension that is achieved using Trapped Ion Mobility Spectrometry (TIMS).

This poster hall shows a unique collection of investigations that leverage Bruker technology, e.g. showing the benefit of CCS values and the PASEF acquisition mode. We are very thankful to everybody who contributed their research results.

And we hope you enjoy reading through this Poster hall as much as we enjoyed putting it together.


Poster: High speed untargeted 4D-lipidomics LC-MS/MS workflows with Parallel Accumulation Serial Fragmentation (PASEF)

Poster: Ultra-high sensitivity nanoflow lipidomics with Trapped Ion Mobility Spectrometry (TIMS) and Parallel Accumulation SErial Fragmentation (PASEF)

Poster: CCSPredict: Using a Machine Learning Approach for higher Confidence in Lipid Identification

Poster: Higher confidence annotations of target lipids enabled by Trapped Ion Mobility MS in combination with machine learning based CCS prediction



Poster: Integrating 4D peak picking of LC-TIMS-MS/MS data into GNPS feature based molecular networking for metabolomics and lipidomics analysis

Poster: Integrated workflow with quality control for large cohort and clinical metabolomics research using robust hardware and signal correction

Poster: Development of a Collision Cross Section Library using Trapped Ion Mobility Spectrometry (TIMS) and Its Use in Plant Metabolomics

Poster: Enabling Rapid and High-confidence Metabolite Identification using HILIC-QTOF based MS/MS-RT library

Poster: Integration of metabolomic and lipidomic workflows for studying biological samples



Poster: Automatic molecular annotation of mass spectrometry imaging data

Poster: High Speed, High Lateral Resolution Lipid Imaging in a MALDI-Q-TOF

Poster: Uniting metabolomics data processing and highly confident annotation across six MS instrumental set ups: MetaboScape 5.0


Environmental applications

Poster: Combination of targeted and non-targeted workflows for the identification of pollutants in river water using a passive sampling method


MRMS aXelerate

Poster: Magnetic resonance mass spectrometry profiling of myxobacterial extracts – higher resolution, deeper insights?

Poster: An Integrated Ultra-High Resolution FTICR-MS Based Platform for Metabolomics

Poster: Fast detection of pesticides and drugs removed from waste water by plants using Flow Injection Analysis Magnetic Resonance Mass Spectrometry(MRMS)

Poster: Rapid detection of drugs and metabolites in urine by Flow Injection Analysis coupled to Magnetic Resonance Mass Spectrometry


Pharma related applications

Poster: Metabolomics Characterization of Cell Culture Media by Ultrahigh Resolution LC-QTOF-MS Analysis

Poster: Cell Culture Media Profiling and Unknown Identification by Liquid Chromatography and Accurate Mass High Resolution Mass Spectrometry

Poster: Top-down Proteomics and Metabolomics based Profiling and Characterization of Collagen by LC-QTOF-MS

Poster: Cytochrome P450 Reaction Phenotyping by Targeted/Non-targeted Metabolomics Workflow and Accurate Mass and High Resolution LC-QTOF-MS



Poster: Application of metabolomics methods on LC/GQ-QTOF data to discriminate extra virgin olive oils from different Protected Designations of Origin

Poster: Comprehensive characterization of eight different olive tree derived matrices using LC-ESI/APCI-QTOF and GC-APCI-QTOF and a non-targeted software workflow