On-line publications and posters below are provided as Adobe Acrobat Portable Document Format (PDF) files.

• Fully Automated QuEChERS for Organochlorine and Organophosphate Pesticides in Tomato Juice and Red Wine
• Novel Automated Sample Clean-up: First Comprehensive Evalulation of Different Filtration Devices for x-y-z Robots
• Evaluation of μ-solid phase extraction for the analysis of pesticide residues in cereals
• Automated Clean-up of PAH in Sunflower Oil for GC-MS_EuSP2022
• Automated High Throughput Sample Prep and Acquisition for Water Samples
• Automated Clean-up and Analysis of Pesticides in Spices by Mini-SPE
• Metabolite Profiling by Automated Methoximation and Silylation
• Time and Money Savings by the Implementation of Automated μSPE for Cleanup of QuEChERS Extracts of Veterinary Drugs
• Fully Automated Analysis of E-Cigarette Juice
• Robustness of SPME Arrow Immersion Sampling
• Automated Clean-up of QuEChERS Extracts for GC-MS and LC-MS
• Analysis of volatile compounds from honeys to differentiate plant and geographical origins
• Online analysis of micropollutants on site with MS2Field
• Automated Parallel Derivatization for broad coverage of metabolites
  
• Analysis of PVC in food packaging
• Analysis of Metabolites by LC-MALDI-MS/MS
• Metabolomics: Automated Bligh Dyer extraction of tissues and cells with online LC/MS analysis
• A Comparison of ITEX Dynamic Headspace–GC/MS to other Enrichment Techniques for Analysis of Flavoring Compounds
• Automated in-gel digestion on a commercial autosampler directly coupled to nanoLC-MS/MS
• Hyphenation and automation of large-volume online-SPE with liquid chromatography mass spectrometry
• Automated sample preparation workflows for quantitative proteomics applications
• Minimizing Carry-over for High Throughput Analysis
• Smart Sampling Enables a Fully Automated Workflow for Liquid Injection and Headspace GC and GC/MS
• Automated protein digestion workflows for MS-based proteomics applications
• Automated Workflow for the determintation of Fatty Acid Methyl Esters (FAME)
• Enhanced Method Development Capabilities with Automated SPME Extraction Optimization
• Evaluation of an automated SPE method for samples derived from capillary microsampling