An in vitro dosimetry tool for the numerical transport modeling of engineered nanomaterials powered by the Enalos RiskGONE cloud platform

Nikolaos Cheimarios, Barbara Pem, Andreas Tsoumanis, Krunoslav Ilić, Ivana Vinković Vrček, Georgia Melagraki, Dimitrios Bitounis, Panagiotis Isigonis, Maria Dusinska, Iseult Lynch, Philip Demokritou, Antreas Afantitis*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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A freely available “in vitro dosimetry” web application is presented enabling users to predict the concentration of nanomaterials reaching the cell surface, and therefore available for attachment and internalization, from initial dispersion concentrations. The web application is based on the distorted grid (DG) model for the dispersion of engineered nanoparticles (NPs) in culture medium used for in vitro cellular experiments, in accordance with previously published protocols for cellular dosimetry determination. A series of in vitro experiments for six different NPs, with Ag and Au cores, are performed to demonstrate the convenience of the web application for calculation of exposure concentrations of NPs. Our results show that the exposure concentrations at the cell surface can be more than 30 times higher compared to the nominal or dispersed concentrations, depending on the NPs’ properties and their behavior in the cell culture medium. Therefore, the importance of calculating the exposure concentration at the bottom of the cell culture wells used for in vitro arrays, i.e., the particle concentration at the cell surface, is clearly presented, and the tool introduced here allows users easy access to such calculations. Widespread application of this web tool will increase the reliability of subsequent toxicity data, allowing improved correlation of the real exposure concentration with the observed toxicity, enabling the hazard potentials of different NPs to be compared on a more robust basis.

Original languageEnglish
Article number3935
Number of pages14
Issue number22
Publication statusPublished - 8 Nov 2022

Bibliographical note

Funding Information:
This work received funding from the European Union’s Horizon 2020 research and innovation programme via the RiskGONE project under grant agreement number 814425, with additional support from H2020 Marie-Sklodowska-Curie-Action RISE project CompSafeNano (grant agreement no 101008099).

Publisher Copyright:
© 2022 by the authors.


  • Au and Ag nanoparticles
  • distorted grid model
  • Enalos Cloud Platform
  • in vitro dosimetry
  • nanotoxicity

ASJC Scopus subject areas

  • General Chemical Engineering
  • General Materials Science


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