ArticleChemical research in toxicology2022
Dissolution Rate of Nanomaterials Determined by Ions and Particle Size under Lysosomal Conditions: Contributions to Standardization of Simulant Fluids and Analytical Methods.
Article in Chemical research in toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 26 citations in OpenAlex.
- Application of in vitro pulmonary models for hazard screening of silica particles.Archives of toxicology · 2025Article
- Characterising Dissolution Dynamics of Engineered Nanomaterials: Advances in Analytical Techniques and Safety-by-Design.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Dynamic QSAR modeling for predicting in vivo genotoxicity and inflammation induced by nanoparticles and advanced materials: a time-dose-property/response approach.Journal of nanobiotechnology · 2025Article
- Bioresorbable Materials for Wound Management.Biomimetics (Basel, Switzerland) · 2025Review
- Microplastic Materials for Inhalation Studies: Preparation by Solvent Precipitation and Comprehensive Characterization.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- How to describe the time-dependent dissolution of engineered nanomaterials?Computational and structural biotechnology journal · 2024Article
- Toxicological inhalation studies in rats to substantiate grouping of zinc oxide nanoforms.Particle and fibre toxicology · 2024Article
- Critical aspects in dissolution testing of nanomaterials in the oro-gastrointestinal tract: the relevance of juice composition for hazard identification and grouping.Nanoscale advances · 2024Article
- Dissolution Behaviour of Metal-Oxide Nanomaterials in Various Biological Media.Nanomaterials (Basel, Switzerland) · 2022Article
- Fate of engineered nanomaterials at the human epithelial lung tissue barrierFrontiers in toxicology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dissolution of inhaled engineered nanomaterials (ENM) under physiological conditions is essential to predict the clearance of the ENM from the lungs and to assess their biodurability and the potential effects of released ions. Alveolar macrophage (AM) lysosomes contain a pH 4.5 saline brine with enzymes and other components. Different types of artificial phagolysosomal simulant fluids (PSFs) have been developed for dissolution testing, but the consequence of using different media is not known. In this study, we tested to which extent six fundamentally different PSFs affected the ENM dissolution kinetics and particle size as determined by a validated transmission electron microscopy (TEM) image analysis. Three lysosomal simulant media were consistent with each other and with in vivo clearance. These media predict the quick dissolution of ZnO, the partial dissolution of SiO
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.