If you don't see your institution, add your dataset to the main dataverse named "RepOD".
Select the dataverse to which you want to add the new dataset:
You need to Sign In/Sign Up to add a dataset.
Share this dataset on your favorite social media networks.
Kałapus, Michał, 2024, "dissolution of NM - fitting and extrapolating for PFO and KE eqautions", https://doi.org/10.18150/0VYVWZ, RepOD, V1
Learn about Data Citation Standards.
Data used for fitting and extrapolating dissolution of NM used in paper which can be found: https://doi.org/10.1016/j.csbj.2024.04.046
Abstract:
Numerous processes such as solubility, agglomeration/aggregation, or protein corona formation may change over time and significantly affect engineered nanomaterial (ENM) structure, property, and availability, resulting in their reduced or increased toxicological activity. Therefore, understanding the dynamics of these processes is essential for assessing and managing the risks of ENMs during their lifecycle, ensuring safety by design. Of these processes, the importance of solubility (i.e., the ability to release ions from the surface) is undeniable. Thus, we propose a practical approach, the Kalapus equation (KEq), to determine ENMs' dissolution over time. As a proof-of-concept, the KEq was applied to determine the solubility of six commercially used metal and metal oxide nanoparticles over time. The KEq exhibited a higher coefficient of determination (R2 = 0.995–0.999) than the logarithmic equation (R2 = 0.835–0.986), and the pseudo-first-order equation (R2 = 0.915–0.994) over a range of experimental data. The newly introduced Kalapus equation outperformed the logarithmic and pseudo-first-order equations when extrapolating beyond the time range in which solubility was experimentally determined. The mean absolute error in solubility prediction for the KEq was 3.29 % and 4.28 % for the first and second data points, respectively, significantly lower than the 13.46 % and 18.05 % observed for the pseudo-first-order/first-order equation. The proposed equation can be used as a part of New Generation Risk Assessment (NGRA) methodology, especially new Integrated Approaches to Testing and Assessments (IATAs).
Solubility, Solubility kinetics, Dissolution Modeling, Metal oxide nanoparticles, Time-dependent properties
How to describe the time-dependent dissolution of engineered nanomaterials? Kalapus, Michal et al. Computational and Structural Biotechnology Journal, Volume 25, 75 - 80 https://doi.org/10.1016/j.csbj.2024.04.046 https://doi.org/10.1016/j.csbj.2024.04.046 doi: https://doi.org/10.1016/j.csbj.2024.04.046
CC BY - Creative Commons Attribution 4.0
Please select a file or files to be deleted.
The file(s) will be deleted after you click on the Delete button.
Files will not be removed from previously published versions of the dataset.
Please select a file or files to be edited.
For selected file(s) set a license to
Please select a file or files to be downloaded.
Please select a file or files for access request.
Please select restricted file(s) to be unrestricted.
You need to Log In/Sign Up to request access to this file.
Please confirm and/or complete the information needed below in order to continue.
Asterisks indicate required fields
Access to file(s) subject to additional consent under following conditions:
The restricted file(s) selected may not be downloaded because you have not been granted access.
Click Continue to download the files you have access to download.
Are you sure you want to delete this dataset and all of its files? You cannot undelete this dataset.
Are you sure you want to lift the embargo?
Once you lift the embargo, you will not be able to set it again.
Are you sure you want to delete this draft version? Files will be reverted to the most recently published version. You cannot undelete this draft.
Use a Private URL to allow those without Dataverse accounts to access your dataset. For more information about the Private URL feature, please refer to the User Guide.
Private URL has not been created.
Are you sure you want to disable the Private URL? If you have shared the Private URL with others they will no longer be able to use it to access your dataset.
You will not be able to make changes to this dataset while it is in review.
This dataset cannot be published until University of Gdańsk is published. Would you like to publish both right now?
Once you publish this dataset it must remain published.
Are you sure you want to republish this dataset?
Select if this is a minor or major version update.
This dataset cannot be published until University of Gdańsk is published by its administrator.
This dataset cannot be published until University of Gdańsk and RepOD are published.
Are you sure you want to deaccession? The selected version(s) will no longer be viewable by the public.
Contact person for this dataset, having substantive knowledge of the data
Please fill this out to prove you are not a robot.
