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Record W4414403741 · doi:10.1002/xrs.70041

Total X‐Ray Fluorescence Measurement of Spherical Gold Nanoparticle Uptake by <scp>PC</scp> ‐3 Cells: Dual‐Phase Kinetic Uptake and Modelling

2025· article· en· W4414403741 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueX-Ray Spectrometry · 2025
Typearticle
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsSt. Michael's HospitalToronto Metropolitan University
Fundersnot available
KeywordsKineticsFluorescenceNanoparticleColloidal goldAnalytical Chemistry (journal)Kinetic energyFluorescence spectroscopy

Abstract

fetched live from OpenAlex

ABSTRACT The literature on the cellular uptake of gold nanoparticles (AuNPs) is currently limited in long‐term studies (&gt; 10 h) and the applicability of mathematical uptake models to experimental data. Here, the uptake of AuNPs of diameters 5, 10, and 20 nm at concentrations of 10 and 40 μM was measured up to 48 h in PC‐3 cells. Total reflection x‐ray fluorescence (TXRF) spectroscopy was used for quantification. AuNP uptake was observed to increase with higher extracellular concentration and to have an inverse‐size dependency. Uptake kinetics were fundamentally similar across all conditions, with two plateaus. A new kinetic model of AuNP uptake was developed with two phases of uptake. The second phase had significantly higher uptake than the first. This model fits the experimental data well, with R 2 values ranging from 0.8298 to 0.9876. Rate constants of uptake were found to decrease with AuNP diameter, across both uptake phases. In addition to the insight into NP cellular interactions, this work also showcases the strong capabilities of TXRF as a cellular analysis tool.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.233
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it