Considerations on the ideal sample shape for Total Reflection X-ray Fluorescence Analysis

Horntrich, C.; Kregsamer, P.; Wobrauschek, P.; Streli, Christina

doi:10.1016/j.sab.2011.11.003

Cited by 15 publications

(12 citation statements)

References 14 publications

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“…Horntrich et al [111][112][113] presented in a set of results from detailed studies of the influence of dried sample morphology, excitation energy and elemental distribution of a sample on the silicon wafer surface. The authors showed that the thin film approximation, which was conventionally applied over a wide mass range, astonishingly was only valid in the low ng region, whereas deviations from the linear relation between intensity and mass were observed from 200 ng upwards depending on the excitation energy.…”

Section: New Applications and Developments In Instrumentationmentioning

confidence: 99%

Atomic spectrometry update—X-ray fluorescence spectrometry

West

Ellis

Potts

et al. 2012

J. Anal. At. Spectrom.

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Section: New Applications and Developments In Instrumentationmentioning

confidence: 99%

Atomic spectrometry update—X-ray fluorescence spectrometry

West

Ellis

Potts

et al. 2012

J. Anal. At. Spectrom.

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“…TXRF remains almost exclusively an experimental field. A handful of studies have reported on mathematical derivation for calculating the fluorescence intensity or the absorption effects of TXRF samples [22][23][24][25] . However, their flexibility is limited to the fundamental approach and by extension, the types of samples that can be studied are limited.…”

Section: Introductionmentioning

confidence: 99%

Investigating the impact of internal standard heterogeneity on gold quantification with total reflection X‐ray fluorescence: A simulation study

Mankovskii

Pejović‐Milić

2021

X-Ray Spectrometry

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Total reflection X‐ray Fluorescence (TXRF) is a powerful analytical tool with high detection sensitivity that has been applied to a variety of biological samples. While its ability to quantify gold nanoparticles (AuNPs) in cancer cells has been demonstrated, the extension to tissue slices would be of interest. To that end, the preservation of the underlying tissue microstructure requires samples to be measured as microtome slices. In this form, internal standard spiking is warranted. Thus, it is important to examine the impact of sample heterogeneity on the TXRF's quantification accuracy. To address these questions, a TXRF spectrometer along with 5 μm thin heterogeneous and homogeneous samples were modeled using TOPAS. The simulation model generated TXRF spectra which were then analyzed to obtain recovery rates of Au in both sample types. The results showed near 100% recovery regardless of the elemental spatial distribution in the samples. This provides insights into the quantification potential for AuNPs inside tumors that are histologically processed into thin tissue slices. In addition, this simulation toolkit provides the first practical means of modeling TXRF spectroscopy which will hopefully be of use to the TXRF community.

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“…11,13 Horntrich et al proposed a model in search for the ideal sample shape, meaning the highest uorescence intensity and the lowest saturation effect. [14][15][16] In their comparison of sample types of a cuboid, cylinder, spherical segment and ring shapes the ring shape exhibited the lowest saturation effect and lead to the highest uorescence intensity.…”

Section: Introductionmentioning

confidence: 99%