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

Published

September 18, 2014

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

Pub Type

Journals

Download Paper

https://doi.org/10.1021/ac502379x

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 April 24, 2024)