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Creation of Libraries of Recurring Mass Spectra from Large Data Sets assisted by a Dual-Column Workflow

Published

Author(s)

William G. Mallard, Stephen E. Stein, Halket M. John, Yuri A. Mirokhin, Nirina Rabe Andriamaharavo

Abstract

An analytical methodology has been developed for extracting recurrent unidentified spectra (RUS) from large GC/MS data sets. Spectra were first extracted from original data files by the Automated Mass Spectral Deconvolution and Identification System (AMDIS)1 using settings designed to minimize spurious spectra, followed by searching the NIST library with all unidentified spectra. The spectra that could not be identified were then filtered to remove poorly deconvoluted data and clustered. The results were assumed to be unidentified components. This was tested by requiring each unidentified spectrum to be found in two chromatographic columns with slightly different stationary phases. This methodology has been applied to a large set of pediatric urine samples. A library of spectra and retention indices for derivatized urine components, both identified and recurrent unidentified has been created and is available for download.
Citation
Analytical Chemistry
Volume
86
Issue
20

Keywords

Mass Spectrometry, Gas Chromatography, AMDIS, Metabolomics, Mass Spectral Libraries

Citation

Mallard, W. , Stein, S. , John, H. , Mirokhin, Y. and , N. (2014), Creation of Libraries of Recurring Mass Spectra from Large Data Sets assisted by a Dual-Column Workflow, Analytical Chemistry, [online], https://doi.org/10.1021/ac502379x (Accessed June 13, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created September 18, 2014, Updated November 10, 2018