Recent advances in the detection and quantification of manufactured nanoparticles (MNPs) in complex environmental and biological matrices

Q Abbas, M Zia-ur-Rehman, H Ullah, MAM Munir… - Journal of Cleaner …, 2024 - Elsevier
Extensive use of manufactured nanoparticles (MNPs) across diverse sectors has
necessitated the development of reliable, sensitive, and precise methods for their …

In chemico methodology for engineered nanomaterial categorization according to number, nature and oxidative potential of reactive surface sites

V Alcolea-Rodríguez, R Portela… - Environmental …, 2024 - pubs.rsc.org
Methanol probe chemisorption quantifies the number of reactive sites at the surface of
engineered nanomaterials, enabling normalization per reactive site in reactivity and toxicity …

Classification-Based Detection and Quantification of Cross-Domain Data Bias in Materials Discovery

G Trezza, E Chiavazzo - Journal of Chemical Information and …, 2024 - ACS Publications
It stands to reason that the amount and the quality of data are of key importance for setting
up accurate artificial intelligence (AI)-driven models. Among others, a fundamental aspect to …

Adsorption of Guanine on Oxygen-Deficient TiO2 Surface: A Combined MD-DFTB/DFT Strategy

YA Çetin, B Martorell, F Serratosa, M Calatayud - ACS omega, 2024 - ACS Publications
Metal oxides (MOs) are key materials in many fields, including technological, industrial, and
biomedical applications. In most of these implementations, surface reactivity and reducibility …

[HTML][HTML] Building species trait-specific nano-QSARs: Model stacking, navigating model uncertainties and limitations, and the effect of dataset size

S Balraadjsing, WJGM Peijnenburg, MG Vijver - Environment International, 2024 - Elsevier
A strong need exists for broadly applicable nano-QSARs, capable of predicting toxicological
outcomes towards untested species and nanomaterials, under different environmental …

Multiscale physics-based in silico modelling of nanocarrier-assisted intravascular drug delivery

NV Buchete, I Cicha, S Dutta, P Neofytou - Frontiers in Drug Delivery, 2024 - frontiersin.org
A rational design of drug nanocarriers supported by in silico modelling tools can improve the
efficacy of nanosystem-based intravascular drug delivery (IVDD). Computational model …

Machine Learning Allowed Interpreting Toxicity of a Fe-Doped CuO NM Library Large Data Set─ An Environmental In Vivo Case Study

JJ Scott-Fordsmand, SIL Gomes… - … applied materials & …, 2024 - ACS Publications
The wide variation of nanomaterial (NM) characters (size, shape, and properties) and the
related impacts on living organisms make it virtually impossible to assess their safety; the …

A Neural-Network-Based Mapping and Optimization Framework for High-Precision Coarse-Grained Simulation

Z Zhong, L Xu, J Jiang - Journal of Chemical Theory and …, 2024 - ACS Publications
The accuracy and efficiency of a coarse-grained (CG) force field are pivotal for high-
precision molecular simulations of large systems with complex molecules. We present an …

[HTML][HTML] Nanomaterial grouping: Unraveling the relationship of induced mechanisms and potency at a temporal scale

MT Maia, M Fratello, G del Giudice, LA Saarimäki… - Nano Today, 2025 - Elsevier
Grouping is a fundamental step to generalize engineered nanomaterials (ENM) hazard.
However, most strategies lack comprehensiveness in ENM and experimental settings …

Biomolecular Adsorption on Nanomaterials: Combining Molecular Simulations with Machine Learning

M Saeedimasine, R Rahmani… - Journal of Chemical …, 2024 - ACS Publications
Adsorption free energies of 32 small biomolecules (amino acids side chains, fragments of
lipids, and sugar molecules) on 33 different nanomaterials, computed by the molecular …