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Increasing Throughput and Sensitivity of LC-MS assays with a focus on MS optimisation and novel LC strategies
About the webinar
In order to support the expanding protein component of pharmaceutical companies‘ drug pipeline, the rapid development of sensitive and selective peptide bioanalytical methods are required. As an alternative to ligand binding assays (LBAs) LC-MS/MS methods are both sensitive and selective, have a wide dynamic range, and have been a staple in the quantitation of small molecule drugs. Choosing the best MRM for the peptide or protein is a challenge because multiple charge states are possible and the many product ion possibilities leave many MRMs to be screened. Manual tuning is tedious, and optimizing for sensitivity via LC injections is time consuming when monitoring multiple MRMs per peptide and multiple peptides per protein.
DiscoveryQuantTM software is an automated MRM tuning and optimization application and is the ideal tool to perform this optimization to achieve maximum sensitivity. DiscoveryQuant™Optimize software collects product ion spectra and allows for the optimization of compound dependent mass spectrometer parameters (DP, CE, CXP and EP) in under 1.5 minutes via infusion or flow injection analysis. The MRM transitions along with optimized parameters are stored in the DiscoveryQuantTM software database. These transitions are available for incorporation into LC-MRM methods to: perform automated LC screening and validation using ChromaTune and for building quantitative methods and batches with DiscoveryQuantTM Analyze.
In addition to MS optimisation LC selection also plays in important role in LC-MS assay sensitivity. When looking at flow rates entering the source of an Electrospray system ionization efficiency increases at lower flow rates. To take advantage of this microLC can be applied to improve sensitivity in sample limited applications in bio-analysis by LC-MS.
In order to analyse the same volume of sample as is typically injected in a conventional LC-MS system, up to 50 µL, we have developed a microLC system that allows for fast on-line pre-concentration on a short trap column. Because of the higher flow rates that can be used for loading the sample on the trap-column, sample throughput is not affected by using microLC flow rates for the LC-MS analysis.
Senior Applications Specialist, Sciex
Jason currently holds the position of Senior Application Specialist at SCIEX, concentrating on the Pharmaceutical and Bioanalytical markets within the UK & Europe. Jason is responsible for the development and implementation of analytical methods and workflows within this arena. He has experience in high-throughput method development and UHPLC-MS/MS applications, both within SCIEX and previously within the GLP environment.
Remco van Soest
Product Manager, Sciex
Remco van Soest holds an M.S. degree in Analytical Chemistry from Vrije Universiteit in The Netherlands. He joined SCIEX in 2010 through the acquisition of Eksigent Technologies. He has more than 20 years of experience with the development of nano-and micro-HPLC instrumentation and applications in the life sciences.
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ABB Analytical Measurement ACD/Labs ADInstruments Ltd Advanced Analytical Technologies GmbH Analytik Jena AG Astell Scientific Ltd B&W Tek Bachem AG Bibby Scientific Limited Bio-Rad Laboratories BioNavis Ltd Biopharma Group Black Swan Analysis Limited Charles Ischi AG | Kraemer Elektronik Cherwell Laboratories CI Precision Cobalt Light Systems Coulter Partners CPC Biotech srl Dassault Systèmes BIOVIA DiscoverX Edinburgh Instruments Enterprise System Partners (ESP) EUROGENTEC F.P.S. Food and Pharma Systems Srl IDBS JEOL Europe L.B. Bohle Maschinen + Verfahren GmbH Lab M Ltd. LabWare Linkam Scientific Instruments Limited Metrohm Molins Technologies Multicore Dynamics Ltd Nanosurf New England Biolabs, Inc. Panasonic Biomedical Sales Europe B.V. PerkinElmer Inc ReAgent Russell Finex Limited Source BioScience Takara Clontech Tornado Spectral Systems Tuttnauer Watson-Marlow Fluid Technology Group Wickham Laboratories Limited Xylem Analytics YMC Europe GmbH Yusen Logistics