The nanosafety assessment of ENMs under a dermal exposure scenario: from key molecular events to in silico modeling tools

Abstract

This review provides insights into key molecular events underlying ENMs toxicity under the dermal exposure scenario and the application of computational modeling tools in predicting the fate and toxicity of ENMs in nano-skin interactions.

Enhancing antioxidant properties of CeO2 nanoparticles with Nd3+ doping: structural, biological, and machine learning insights

“…25,26 In this context, ML models can be applied to predetermine the biological activity of nanomaterials and their possible toxicity and ensure effective resource management to produce them, as they can aid in developing algorithms that derive variable outputs based on models built from the underlying data to tackle diverse problems. 27,28 In this work, novel Nd-doped CeO 2 -NPs were prepared and evaluated for their antibacterial, anticancer, and antioxidant activities. The influence of the incorporation of Nd 3+ at different doping concentrations (1,5, and 10 at%) on the size, shape, optical properties, and surface charge of CeO 2 -NPs was analyzed through XRD, UV-Vis, and FTIR spectroscopy, XPS, PL, BET, and FESEM, TEM/HRTEM, and HAADF-STEM microscopy.…”