TXRF Spectrometry for Investigating CaF2:Nd3+,Y3+ Nanoparticle Diffusion in Tumoral Cancer 3D Spheroids

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Authors: Ramón Fernández‐Ruiz, Pablo Camarero, Patricia Haro‐González, Marta Quintanilla
Cited by: 0
References: 49

Abstract

) exhibit promising properties for biomedical applications, particularly for optical sensing and tagging. This study investigates their interaction with 3D cell spheroids derived from breast cancer, from Michigan Cancer Foundation-7 (MCF-7) and brain cancer, from Uppsala 87 Malignant Glioma (U-87 MG) cell lines as tumour models. Specific protocols have been developed in Total-reflection X-Ray Fluorescence (TXRF) to evaluate nanoparticles' internalisation and diffusion within spheroids by quantifying the concentrations of Ca, Nd, and Y taken up by the cells. Minimal background interference enabled precise multi-element detection in low-volume biological samples, yielding very low detection limits and minimal uncertainties. The study demonstrates the effectiveness of TXRF for quantifying rare-earth-doped nanoparticles in 3D cancer models and reveals that, although both cell lines permit nanoparticle diffusion into cells, higher accumulation is observed in glioblastoma cell spheroids. A Weibull diffusion model was applied to help understand the observed internalisation kinetics of nanoparticles into U-87 MG and MCF-7 spheroids. The relevant differences suggest cell-line-dependent uptake behaviour, potentially influenced by differences in cellular architecture, the porosity of the generated spheroid, and its intercellular 3D microstructure. These findings highlight the importance of tumour-specific interactions in the investigation of nanoparticle systems for targeted cancer diagnostics and therapeutics.

Fields of Study & Subjects

X-ray Spectroscopy and Fluorescence Analysis Luminescence Properties of Advanced Materials Radiation Therapy and Dosimetry

Publication details

Journal / source
International Journal of Molecular Sciences
Volume
27
Issue
5
Pages
2354–2354
Publication date
3 March 2026
Language
EN