1987
DOI: 10.1039/ja9870200773
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Influence of matrix effects on methods for the quantification of major and impurity elements in brass using secondary ion mass spectrometry (SIMS)

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Cited by 11 publications
(4 citation statements)
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“…The negative ion spectra exhibit O - and OH - as the most prominent peaks observed from the oxide surface. Smaller peaks due to hydrocarbon contamination and some recombinant Ti a O b C c H d peaks at higher mass ranges are also detected. , These data are consistent with results published previously on clean titanium oxide surfaces. , …”
Section: Resultssupporting
confidence: 92%
See 1 more Smart Citation
“…The negative ion spectra exhibit O - and OH - as the most prominent peaks observed from the oxide surface. Smaller peaks due to hydrocarbon contamination and some recombinant Ti a O b C c H d peaks at higher mass ranges are also detected. , These data are consistent with results published previously on clean titanium oxide surfaces. , …”
Section: Resultssupporting
confidence: 92%
“…In general, SIMS cannot be considered a quantitative analytical technique due to strong matrix effects on secondary ion intensities. However, under favorable conditions, for example, when a series of closely chemically related samples are measured under the same experimental conditions, semi quantitative results can be achieved. , We used sets of SAM samples that were prepared according to the same protocol and measured using the same experimental parameters. In the positive ion mode, the DDPO 4 self-assembled surface displays similar hydrocarbon ion peaks to that of the bare oxide (in this case due to adventitious hydrocarbon contamination), but with strongly decreased contaminant peak intensity (Na + , NH 4 + , etc.…”
Section: Resultsmentioning
confidence: 99%
“…Although the SF and MISR methods both provide good results , there is an important difference in their sensitivity to local variations in the matrix composition . If the results from previous studies [20] can be extrapolated to these matrices, it is clear that the MISRmethod is far more sensitive to local variations in the matrix composition. For a number of elements, the concentration of the impurity elements in the inclusions may be of the order of a few percent, and the local matrix composition does not agree with the mean composition of the sample .…”
Section: Etaluation Of the Resultsmentioning
confidence: 99%
“…Despite this promising evolution, the progress here is hampered by the quantification problems. Commonly used methods, such as the local thermodynamic equilibrium (LTE) model, the sensitivity factor (SF) method [16][17][18], the matrix ion species ratio (MISR) method [19,20], and ion implantation [21] have all been applied with varying degrees of success to convert the ion images from intensity space to concentration space [2,3,9,[22][23][24][25][26][27].…”
mentioning
confidence: 99%