Metabolic profiling of Escherichia coli by ion mobility-mass spectrometry with MALDI ion source.
Metabolic profiling of Escherichia coli by ion mobility-mass spectrometry with MALDI ion source.
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DOI:
10.1002/jms.1850
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发表时间:
2010-12
影响因子:
2.3
通讯作者:
Hill, Herbert H., Jr.
中科院分区:
文献类型:
--
作者:
Dwivedi, Prabha;Puzon, Geoffery;Tam, Maggie;Langlais, Denis;Jackson, Shelley;Kaplan, Kimberly;Siems, William F.;Schultz, Albert J.;Xun, Luying;Woodsd, Amina;Hill, Herbert H., Jr.
Comprehensive metabolome analysis using mass spectrometry (MS) often results in a complex mass spectrum and difficult data analysis resulting from the signals of numerous small molecules in the metabolome. In addition, mass spectrometry alone has difficulty measuring isobars and chiral, conformational, and structural isomers. When a matrix assisted laser desorption ionization source (MALDI) is added, the difficulty and complexity are further increased. Signal interference between analyte signals and matrix ion signals produced by MALDI in the low mass region (<1500 Da) cause detection and or identification of metabolites difficult by mass spectrometry alone. However, ion mobility spectrometry (IMS) coupled with MS (IM-MS) provides a rapid analytical tool for measuring subtle structural differences in chemicals. IMS separates gas phase ions based on their size-to-charge ratio. This study, for the first time, reports the application of MALDI to the measurement of small molecules in a biological matrix by Ion Mobility-Time of Flight Mass Spectrometry (IM-TOFMS) and demonstrates the advantage of ion-signal dispersion in the second dimension. Qualitative comparisons between metabolic profiling of the Escherichia coli metabolome by MALDI-TOFMS, MALDI-IM-TOFMS, and ESI-IM-TOFMS (electrospray ionization) are reported. Results demonstrate that mobility separation prior to mass analysis increases peak-capacity through added dimensionality in measurement. Mobility separation also allows detection of metabolites in the matrix-ion dominated low-mass range (m/z < 1500 Da) by separating matrix-signals from non-matrix signals in mobility space.
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影响因子:
7.4
作者:
Dwivedi, Prabha;Wu, Ching;Hill, Herbert H., Jr.
通讯作者:
Hill, Herbert H., Jr.
影响因子:
7.4
作者:
Edwards, JL;Kennedy, RT
通讯作者:
Kennedy, RT
影响因子:
1.8
作者:
Dwivedi P;Schultz AJ;Hill HH
通讯作者:
Hill HH
DOI:
10.1016/j.jasms.2007.04.007
发表时间:
2007-07-01
影响因子:
3.2
作者:
Dwivedi, Prabha;Bendiak, Brad;Hill, Herbert H., Jr.
通讯作者:
Hill, Herbert H., Jr.
影响因子:
2
作者:
Donegan, M;Tomlinson, AJ;Juhasz, P
通讯作者:
Juhasz, P