Multivariate analysis of ToF-SIMS data for biological applications

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Applications of time-of-flight secondary ion mass spectrometry (ToF-SIMS) were demonstrated, focusing on multivariate analysis (MVA) such as principal component analysis (PCA), principal component regression (PCR), and maximum autocorrelation factors (MAF). Three main categories are presented in this report: quantitative analysis of protein and chemical derivatives, surface characterization of chemical composition, and image-based analysis in disease-related tissues. The use of MVA in a ToF-SIMS study showed improved data interpretation of chemicals or biomolecules on a surface, and consequently enabled the straightforward analysis of ToF-SIMS data. Even on biological samples with high complexity, the MVA method effectively contributed to obtaining valuable information, including chemical distribution of biomolecules. It is anticipated that MVA with ToF-SIMS data will be widely used for exploring biological studies in a reliable and simple way. Copyright (C) 2009 John Wiley & Sons, Ltd.
Publisher
JOHN WILEY & SONS LTD
Issue Date
2009
Language
English
Article Type
Review
Keywords

ION MASS-SPECTROMETRY; PRINCIPAL COMPONENT ANALYSIS; ADSORBED PROTEIN FILMS; SURFACE AMINE GROUPS; CHEMICAL DERIVATIZATION TECHNIQUE; QUANTITATIVE-ANALYSIS; IMAGING TECHNIQUE; ANALYSIS PCA; QUANTIFICATION; SPECTRA

Citation

SURFACE AND INTERFACE ANALYSIS, v.41, no.8, pp.694 - 703

ISSN
0142-2421
DOI
10.1002/sia.3049
URI
http://hdl.handle.net/10203/94697
Appears in Collection
RIMS Journal Papers
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