Automated Sample Preparation of Whole Blood for Therapeutic Drug Monitoring and Diagnostics by LC-MS using a Commercial Autosampler
Poster Jun 06, 2016
Christian Berchtold1, Irene Wegner1,Timm Hettich1, Reto Bolliger2, Guenter Boehm2, Goetz Schlotterbeck1
Automated sample preparation reduces the costs per sample and avoids sample handling errors. This is especially important in therapeutic drug monitoring or diagnostics based on blood samples. The use of robots is well established in these fields since a long time. Usually expensive and highly specialized pipetting robots are used for a high number of samples. However, most of these systems are not designed with a direct interface for LC-MS applications.
In this project the parameters necessary to automatically prepare whole blood samples for online LC-MS applications in the field of diagnostics and TDM have been investigated. A strategy and the most important parameters are shown for the optimization of a PAL RTC autosampler
for the preparation of whole blood.
Automation of Sample Preparation for Metabolomic Analysis Using Robotic PlatformPoster
We developed an automated sample preparation protocol based on a robotic platform PAL RTC (CTC Analytics AG, Zwingen Switzerland), which represent a modified Bligh and Dyer method producing samples for both hydrophilic metabolomics using GC-MS and lipidomics using SFC-MS simultaneously.READ MORE
Mass Spectrometry: From Imaging to Metabolic NetworksPoster
We show that network analysis of co-localized ions from mass spectrometry imaging data provides a detailed chemo-spatial insight into the metabolic heterogeneity of tumor. Furthermore, module preservation analysis between colorectal cancer patients with and without metastatic recurrence suggests hypotheses on the nature of the different local metabolic pathways.READ MORE
Identifying Non-Intentionally Added Substances (NIAS) in Food Contact MaterialsPoster
Concern about the safety of food products has increased dramatically with intentionally and non-intentionally added substances (NIAS) used in packaging being of particular interest. APGC and high resolution MS together with a workflow driven process was used to identify unknown compounds in packaging.READ MORE