SciLifeLab The Svedberg seminar series, Erin Baker, Increasing the efficiency of Mass spectrometry

Monday March 11

Erin Baker

Department of Chemistry, North Carolina State University, Raleigh, NC, USA

Dr. Erin Baker is a bioanalytical chemist with more than 18 years’ experience and >110 publications utilizing ion mobility spectrometry in conjunction with mass spectrometry (IMS-MS) to study environmental and biological systems. In the last 13 years, she has worked primarily on IMS-MS applications in the field of proteomics and more recently optimized IMS-MS metabolomic, glycomic and lipidomic separations. Her research involves the development and evaluation of high-throughput IMS-MS, SPE-IMS-MS and LC-IMS-MS analyses to quickly study numerous samples in a short time period without losing valuable biological information, as well as assessing the number and quality of features detected with IMS-MS for comparison with existing MS platforms. Dr. Baker is also presently working with various informatics teams to design and implement software tools that automatically analyze the complex multidimensional SPE-IMS-MS and LC-IMS-MS data.

Increasing Molecular Coverage in Complex Biological & Environmental Samples Using Ion Mobility-Mass Spectrometry

Mass spectrometry (MS)-based technologies are playing a growing role in the analysis of complex samples.  Despite significant advances in MS technology, currently it is difficult to obtain measurements of both high throughput and high sensitivity for samples with great dynamic ranges such as biofluids and plant extracts.  This problem ultimately results in the inability to effectively account for variation among sample conditions and/or biodiversity leading to inconsequential findings for samples which have great variation.  To address this challenge, we have coupled an ion mobility separation (IMS) with MS to afford greatly improved measurement throughput, sensitivity, robustness, and quantitative capabilities for rapid analysis of complex samples. The benefits we have observed in omic studies of biological and environmental samples with IMS-MS will be summarized in this presentation.

Host: Ingela Lanekoff