1. Safety of ferrite nanoparticles for biomedical applications: cyto- and genotoxic effects of MxFe3-xO4 (M = Fe, Zn, Mn) in an advanced 3D human hepatic in vitro modelIza Rozman, Álvaro Gallo-Cordova, María del Puerto Morales, Marco A. Morales Ovalle, Gerardo F. Goya, Katja Kološa, Domen Hočevar, Bojana Žegura, Alja Štern, 2026, original scientific article Abstract: Given the growing interest in nanosized spinel-type ferrite nanoparticles for biomedical applications and the limited information on their safety, this study aimed to assess their cellular and genotoxic effects in an in vitro 3D human hepatic cell model (HepG2 spheroids). Ferrite nanoparticles – γFe2O3 (FeNPs; 14 ± 4 nm), Zn0.7Fe2.3O4 (ZnNPs; 14 ± 5 nm), and Mn0.4Fe2.6O4 (MnNPs; 7 ± 2 nm) – were synthesised through a microwave-assisted polyol route, functionalized with citric acid, and characterised using Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES), Transmission Electron Microscopy (TEM), X-ray Diffraction (XRD), and Fourier Transform Infrared Spectroscopy (FTIR). Nanoparticle uptake was analysed using TEM, cytotoxicity was measured with CellTiter-Glo®, and oxidative stress induction was assessed using the 2′,7′-Dichlorodihydrofluorescein diacetate (DCFH-DA) and malondialdehyde (MDA) assay. Genotoxic effects were evaluated using the comet, γH2AX and p-H3 assays. Cellular stress responses were assessed using toxicogenomic analysis. Significant cytotoxicity of the tested nanoparticles (0.1–250 µg/mL) was observed; however, TEM analysis revealed limited penetration to the outermost cell layers of spheroids. Notably, only FeNPs induced ROS generation, while MDA levels remained unchanged in all tested samples. Low DNA damage was detected at 24 h, but a significant increase was observed at 96 h (5–50 µg/mL). No increase in γH2AX or p-H3 was found. No substantial alterations in DNA damage or oxidative stress-response gene expression were detected. Altogether, our findings suggest that the effects of ferrite nanoparticles are time- and composition-dependent, underlining the importance of further mechanistic and chronic exposure evaluations in 3D cell models.
Keywords: DNA damage, genotoxicity, HepG2 spheroids, magnetic ferrite-based nanoparticles, ROS induction, safety assessment, toxicogenomics
Published in DiRROS: 27.01.2026; Views: 189; Downloads: 150
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2. Condition assessment of roadway bridges: from performance parameters to performance goalsMaria P. Limongelli, Eleni Chatzi, Andrej Anžlin, 2018, original scientific article Abstract: Deterioration of bridges due to ageing and higher demands, induced by increased traffic load, require the development of effective maintenance policies and intervention strategies. Such concern should be aimed at ensuring the required levels of safety, while optimally managing the limited economic resources. This approach requires a transversal advance; from the element level, through the system level, all the way to the network level. At the same time intervention prioritisation based on the importance of the system (bridge) inside the network (e.g. highway), or of the single structural element inside the bridge is dependent. The first step in bridge condition assessment is the verification of safety and reliability requirements that is carried out using the traditional prescriptive (deterministic) approach or the current performance-based (probabilistic) approach. A critical issue for efficient management of infrastructures lies in the available knowledge on condition and performance of bridge asset. This information is obtained using a collection of significant Performance Parameters at one or more of the three levels (element, system, and network). Traditional techniques for estimation of Performance Parameters rely on already established visual inspection. However, a more reliable description of the system performance is obtained through Non-Destructive Testing and Structural Health Monitoring. Condition assessment essentially pertains to the check of compliance with Performance Goals and requires the definition and computation of Performance Indicators. They are calculated directly from Performance Parameters or from physical models calibrated using the Performance Parameters collected on the structure. Paper overviews the steps to bridge condition assessment regarding safety and reliability.
Keywords: bridge, reliability, safety, condition assessment, performance goals, performance parameters
Published in DiRROS: 29.11.2023; Views: 1524; Downloads: 758
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