Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2022Generic prediction of exocytosis rate constants by size-based surface energies of nanoparticles and cells4citations

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Chart of shared publication
Wang, Jiaqi
1 / 1 shared
Lu, Bingqing
1 / 1 shared
Hendriks, A. Jan
1 / 1 shared
Scheepers, Paul T. J.
1 / 2 shared
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2022

Co-Authors (by relevance)

  • Wang, Jiaqi
  • Lu, Bingqing
  • Hendriks, A. Jan
  • Scheepers, Paul T. J.
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article

Generic prediction of exocytosis rate constants by size-based surface energies of nanoparticles and cells

  • Nolte, Tom M.
  • Wang, Jiaqi
  • Lu, Bingqing
  • Hendriks, A. Jan
  • Scheepers, Paul T. J.
Abstract

<jats:title>Abstract</jats:title><jats:p>Nanotechnology brings benefits in fields such as biomedicine but nanoparticles (NPs) may also have adverse health effects. The effects of surface-modified NPs at the cellular level have major implications for both medicine and toxicology. Semi-empirical and mechanism-based models aid to understand the cellular transport of various NPs and its implications for quantitatively biological exposure while avoiding large-scale experiments. We hypothesized relationships between NPs-cellular elimination, surface functionality and elimination pathways by cells. Surface free energy components were used to characterize the transport of NPs onto membranes and with lipid vesicles, covering both influences by size and hydrophobicity of NPs. The model was built based on properties of neutral NPs and cells, defining Van de Waals forces, electrostatic forces and Lewis acid–base (polar) interactions between NPs and vesicles as well as between vesicles and cell membranes. We yielded a generic model for estimating exocytosis rate constants of various neutral NPs by cells based on the vesicle-transported exocytosis pathways. Our results indicate that most models are well fitted (<jats:italic>R</jats:italic><jats:sup><jats:italic>2</jats:italic></jats:sup> ranging from 0.61 to 0.98) and may provide good predictions of exocytosis rate constants for NPs with differing surface functionalities (prediction errors are within 2 times for macrophages). Exocytosis rates differ between cancerous cells with metastatic potential and non-cancerous cells. Our model provides a reference for cellular elimination of NPs, and intends for medical applications and risk assessment.</jats:p>

Topics
  • nanoparticle
  • surface
  • experiment