Journal of the American Society for Mass Spectrometry · 2011 · 46 citations · 18 references
Natural SciencesChemistryAnalytical ChemistrySurface ChemistrySurface ScienceAnalytical InstrumentationAnalytical MeasurementsMass Spectrometric ImagingMass SpectrometryMass Spectrometry Data AnalysisComputer Simulation FrameworksMass Spectrometry CharacterizationSecondary Ion Mass SpectrometrySiliconSilicon WafersSurface Topography EffectsTime-of-flight Secondary Ion Mass SpectrometryTopographic Effects
Quantitative chemical characterization of surfaces with topography by secondary ion mass spectrometry (SIMS) remains a significant challenge due to the lack of systematic and validated measurement methods. In this study, we combine an experimental approach using a simple model system with computer simulation using SIMION, to understand and quantify the key factors that give rise to unwanted topographic artefacts in SIMS images of conducting samples with microscale topography. Experimental data are acquired for gold wires (diameters 33 to 125 μm) mounted onto silicon wafers. Significant loss of ion intensities and shadowing arise from the distortion of the extraction field, and the chemical analysis over the whole of the sample surface is difficult. For large primary ion incidence angles of ≥55° to the surface normal, a fraction of the primary ions are scattered from the target and impact the substrate, emitting secondary ions that may be mistaken as originating from the wire. For conducting samples, topographic field effects may be reduced by the use of a smaller extraction voltage and an extraction delay. The effects of an extraction delay on ion intensities, mass resolution and time-of-flight are studied, and its application is demonstrated on an anisotropically etched silicon sample. The use of a simple sample holder with a V-shaped groove to reduce topographic field effects for wires is also presented. Using these results, we provide clear guidance to analysts for the diagnosis and identification of topography effects in SIMS, and present key recommendations to minimize them in practical analysis.
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A New Dynamic in Mass Spectral Imaging of Single Biological Cells
John S. Fletcher, Sadia Rabbani, Alex Henderson et al. · Analytical Chemistry · 2008 · 285 citations
Subcellular imaging mass spectrometry of brain tissue
Liam A. McDonnell, Sander R. Piersma, Maarten Altelaar et al. · Journal of Mass Spectrometry · 2005 · 172 citations
High Resolution Surface Analysis by TOF-SIMS
Birgit Hagenhoff · Microchimica Acta · 2000 · 137 citations
Natural Sciences, Materials Engineering, Materials Science +12
Johannes Schwieters, H.‐G. Cramer, T. Heller et al. · Journal of Vacuum Science & Technology A Vacuum Surfaces and Films · 1991 · 107 citations