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

Mankovskii, Gabriella; Pejović‐Milić, Ana

doi:10.1002/xrs.3266

Cited by 8 publications

(8 citation statements)

References 36 publications

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“…In order to study the impact of internal standard distribution on quantification, a simulation approach based on TOol for PArticle Simulation (TOPAS) was employed [192]. This model was introduced in a concurrent publication by our group [218]. Briefly, the simulation allows the user to customize the components of a TXRF spectrometer to study the relevant interactions between X-rays and samples of various geometries.…”

Section: Simulation Approachmentioning

confidence: 99%

“…The simulation studies were conducted using our TOPAS-based TXRF simulation package [218]. The homogenous, control Sample #1 provided nearly 100% recovery.…”

Section: Insights Into Measurements Of Thin Tumor Slices Via Simulationsmentioning

confidence: 99%

“…However, these studies have not been applied to the quantification of AuNPs in blood. Our group has previously demonstrated that TXRF is capable of quantifying AuNPs in the presence of cancer cells [137], [185] and tissues [218], [240]. In light of the importance of AuNP--blood interaction and its implications for tumor delivery, we present here the capabilities of TXRF for quantifying the concentration of AuNPs in whole blood, plasma, and red blood cell suspensions.…”

Section: Introductionmentioning

confidence: 99%

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Gold Nanoparticle Quantification With Total Reflection X-ray Fluoresence

Mankovskii

2024

Preprint

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<p>The quantification of gold nanoparticle (AuNP) uptake is of importance to a variety of therapeutic, diagnostic and theranostic applications. In particular, the accurate assessment of AuNP delivery remains challenging as current approaches employ cumbersome sample preparation methods. In this work, an easy-to-use and accurate Total reflection X-Ray Fluorescence (TXRF) protocol capable of measuring AuNP uptake in cell suspensions, slices of tissues and blood was developed. Specifically, a TXRF method was optimized and compared with the established technique of inductively coupled plasma atomic emission spectroscopy (ICP-AES) using 10 nm reference material AuNPs. TXRF recovery was nearly 100% while ICP-AES underestimated the Au concentration by nearly 80%. This finding has important implications for the accurate assessment of AuNP uptake using the current ICP-AES wet digestion protocols, and it reveals the effectiveness of TXRF protocols developed here. To extend the potential of TXRF for directly quantifying AuNP uptake in tissues, a theoretical model was first developed, and the impact of sample heterogeneity was investigated. This Monte Carlo based simulation toolkit enabled modelling of all the components of benchtop TXRF spectrometer as well the construction of various thin samples. The modeled TXRF spectra yielded nearly 100% recovery of Au regardless of the spatial distribution of the samples. The direct quantification capabilities of TXRF were also demonstrated experimentally using Au solution and AuNPs that were deposited either above or below thin slices of tissue. A 100% quantification accuracy was observed for all sample permutations tested. These findings strongly suggest that direct quantifications of AuNP uptake can be performed on slices of tissue, complementing histological examinations. The capabilities of TXRF for quantifying the concentration of AuNPs in blood was also investigated. Reference Au solutions and AuNPs in whole blood, plasma, and red blood cell suspensions were analyzed with different dilutants and dilution factors. Near 100% recovery was obtained, provided appropriate sample pre-treatment is employed. This offers a fast and easy to use method for quantifying AuNP-blood interactions. This dissertation provides the foundations for TXRF to become a rapid and accurate tool that can contribute to AuNP quantification in tumor cells, tissues and blood, a topic of interest to nanoparticle research.</p>

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Section: Simulation Approachmentioning

confidence: 99%

“…The simulation studies were conducted using our TOPAS-based TXRF simulation package [218]. The homogenous, control Sample #1 provided nearly 100% recovery.…”

Section: Insights Into Measurements Of Thin Tumor Slices Via Simulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Gold Nanoparticle Quantification With Total Reflection X-ray Fluoresence

Mankovskii

2024

Preprint

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“…Sample inhomogeneity can have a major influence on the quality of TXRF spectrometry results. Mankovskii and Pejovic-Milic 60 modelled its influence on the direct analysis of microtome thin slices. They used a profile-fitting based software (TOPAS) to simulate the TXRF instrument and a Python code to simulate the samples.…”

Section: Grazing X-ray Techniques Including Txrf Spectrometrymentioning

confidence: 99%

Atomic spectrometry update: review of advances in X-ray fluorescence spectrometry and its special applications

Vanhoof

Bacon

Fittschen

et al. 2022

J. Anal. At. Spectrom.

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“…Moreover, and in the pursuit of tackling cancer burden, three papers were also selected for this Special Issue. Figueroa et al 7 presented the OXIRIS project, making use of a XRF device for cancer detection and Mankowskii and Pejovi‐Milic 8,9 established a new methodology making use of TXRF for the investigation of gold nanoparticles in cancer treatment.…”

mentioning

confidence: 99%