On-demand Webinar: Low Level Quantitation of Estrogens
- Published: May 18, 2012
- Suppliers: AB SCIEX
- Categories: Detectors / Electrophoresis / HPLC / Gas Chromatography / Laboratory Informatics / Sample Preparation / Ion Chromatography / Infrared Spectroscopy / Base Peak / NMR Knowledge Base / UV/Vis Spectroscopy / Chemometrics & Informatics / Raman
Latest webinar from AB SCIEX
Exploiting LC-Tandem Mass Spectrometry and Differential Ion Mobility Spectrometry technologies for the Low Level Quantitation of Estrogens (E1 and E2) in Serum Without Sample Derivatisation
Thursday, June 14, 2012
This webinar has now been broadcast
and is now available on-demand
The application of LC-Tandem Mass Spectrometry for the low-level determination of estrogens in serum often involves complex sample derivatisation procedures in order to deliver the required level of analytical sensitivity.
This clinical research webinar describes two ground-breaking LC-Tandem mass spectrometry strategies to eliminate sample derivatisation whilst still achieving the required levels of quantitation. In the second part of this presentation, we will explain how sample preparation can be further simplified by exploiting the SelexIONTM Differential Ion Mobility Spectrometry device to remove endogenous interfering species whilst maintaining analytical precision and accuracy.
Who should attend?
This webinar is suitable for newcomers and established users of LC-Tandem Mass Spectrometry. The profile of seminar delegates will include biomedical scientists, clinical research scientists as well as laboratory managers from medical research and academic institutions. The thrust of this seminar is designed to show the advances in the data quality obtained by the application of LC-Tandem Mass Spectrometry and Ion Mobility Spectrometry technologies for E1 and E2 quantitation in serum.
Dr Tom Fiers
Dept. Of Hormonology
LC-MS Clinical Applications
On Behalf of AB SCIEX
- Solving routine challenges – new ICP-MS technology for increased sample throughput and reliable, best-in-class performance (56)