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Title: Mitigating Dead Time Effects during Multivariate Analysis of ToF-SIMS Spectral Images.

Abstract

Abstract not provided.

Authors:
; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1147556
Report Number(s):
SAND2007-5879J
521773
DOE Contract Number:
DE-AC04-94AL85000
Resource Type:
Journal Article
Resource Relation:
Journal Name: Surface and Interface Analysis; Related Information: Proposed for publication in Surface and Interface Analysis.
Country of Publication:
United States
Language:
English

Citation Formats

Keenan, Michael R., Ohlhausen, James Anthony, Kotula, Paul Gabriel, and Smenklowski, Vincent S.. Mitigating Dead Time Effects during Multivariate Analysis of ToF-SIMS Spectral Images.. United States: N. p., 2007. Web.
Keenan, Michael R., Ohlhausen, James Anthony, Kotula, Paul Gabriel, & Smenklowski, Vincent S.. Mitigating Dead Time Effects during Multivariate Analysis of ToF-SIMS Spectral Images.. United States.
Keenan, Michael R., Ohlhausen, James Anthony, Kotula, Paul Gabriel, and Smenklowski, Vincent S.. Sat . "Mitigating Dead Time Effects during Multivariate Analysis of ToF-SIMS Spectral Images.". United States. doi:.
@article{osti_1147556,
title = {Mitigating Dead Time Effects during Multivariate Analysis of ToF-SIMS Spectral Images.},
author = {Keenan, Michael R. and Ohlhausen, James Anthony and Kotula, Paul Gabriel and Smenklowski, Vincent S.},
abstractNote = {Abstract not provided.},
doi = {},
journal = {Surface and Interface Analysis},
number = ,
volume = ,
place = {United States},
year = {Sat Sep 01 00:00:00 EDT 2007},
month = {Sat Sep 01 00:00:00 EDT 2007}
}
  • Abstract not provided.
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  • Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) is utilized to examine the mass spectra and fragmentation patterns of seven isomeric monosaccharides. Multivariate statistical analysis techniques, including principal component analysis (PCA), allow discrimination of the extremely similar mass spectra of stereoisomers. Furthermore, PCA identifies those fragment peaks which vary significantly between spectra. Heavy isotope studies confirm that these peaks are indeed sugar fragments, allow identification of the fragments, and provide clues to the fragmentation pathways. Excellent reproducibility is shown by multiple experiments performed over time and on separate samples. This study demonstrates the combined selectivity and discrimination power of ToF-SIMS and PCA,more » and suggests new applications of the technique including differentiation of subtle chemical changes in biological samples that may provide insights into cellular processes, disease progress, and disease diagnosis.« less
  • Abstract not provided.
  • Abstract not provided.