|James N. Dodds Ph.D. is a postdoc in Erin Baker's lab at NC State in Raleigh, NC. The Baker lab utilizes ion mobility spectrometry for a variety of applications including lipidomics, environmental sampling, and more recently newborn screening method development as described in this abstract. We almost exclusively utilize Skyline for all of our data processing.
Improving the Speed and Selectivity of Newborn Screening using Ion Mobility Spectrometry – Mass Spectrometry (IMS-MS) analyzed via Skyline.Detection and diagnosis of congenital disorders is the principal aim of newborn screening (NBS) programs worldwide. Mass spectrometry (MS) has become the preferred primary testing method for high-throughput NBS sampling because of its speed and selectivity. However, the ever-increasing list of NBS biomarkers included in expanding panels creates unique analytical challenges for multiplexed MS assays due to isobaric/isomeric overlap and chimeric fragmentation spectra. Here, we explore the utility of ion mobility spectrometry (IMS) to enhance the accuracy of MS assays for primary (tier 1) screening. Read More
Furthermore, to address the need for increased speed in NBS analyses we utilized an automated solid-phase extraction (SPE) system for ~10 second sampling of simulated NBS samples prior to IMS-MS. The preliminary data presented in this abstract highlight the unique capabilities of IMS for rapid diagnostic screening with streamlined data processing via Skyline. Following the validation of these methods in future experiments, automated data processing should be achievable through AutoQC, however, this work focuses on the utility of Skyline to provide automated IMS-MS data processing and feature integration for our preliminary study.