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Pacific Northwest National Laboratory

Detecting and Removing Data Artifacts in Hadamard Transform Ion Mobility-Mass Spectrometry Measurements.

TitleDetecting and Removing Data Artifacts in Hadamard Transform Ion Mobility-Mass Spectrometry Measurements.
Publication TypeJournal Article
Year of Publication2014
AuthorsProst SA, Crowell KL, Baker ES, Ibrahim YM, Clowers BH, Monroe ME, Anderson GA, Smith RD, Payne SH
JournalJ Am Soc Mass Spectrom
Abstract

Applying Hadamard transform multiplexing to ion mobility separations (IMS) can significantly improve the signal-to-noise ratio and throughput for IMS coupled mass spectrometry (MS) measurements by increasing the ion utilization efficiency. However, it has been determined that fluctuations in ion intensity as well as spatial shifts in the multiplexed data lower the signal-to-noise ratios and appear as noise in downstream processing of the data. To address this problem, we have developed a novel algorithm that discovers and eliminates data artifacts. The algorithm employs an analytical approach to identify and remove artifacts from the data, decreasing the likelihood of false identifications in subsequent data processing. Following application of the algorithm, IMS-MS measurement sensitivity is greatly increased and artifacts that previously limited the utility of applying the Hadamard transform to IMS are avoided. Figure ᅟ

DOI10.1007/s13361-014-0895-y
Alternate JournalJ. Am. Soc. Mass Spectrom.
PubMed ID24796262
Grant ListP41 GM103493 / GM / NIGMS NIH HHS / United States
R01 ES022190 / ES / NIEHS NIH HHS / United States
R21 CA126191 / CA / NCI NIH HHS / United States
R21 GM103497 / GM / NIGMS NIH HHS / United States
U24 CA160019 / CA / NCI NIH HHS / United States
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