Physiologically Based Pharmacokinetic Model for Long-Circulating Inorganic Nanoparticles

© 2016 American Chemical Society. A physiologically based pharmacokinetic model was developed for accurately characterizing and predicting the in vivo fate of long-circulating inorganic nanoparticles (NPs). This model is built based on direct visualization of NP disposition details at the organ and...

Full description

Bibliographic Details
Main Authors: Liang, X., Wang, H., Grice, J., Li, L., Liu, Jian, Xu, Z., Roberts, M.
Format: Journal Article
Published: American Chemical Society 2016
Online Access:http://hdl.handle.net/20.500.11937/71707
_version_ 1848762551319396352
author Liang, X.
Wang, H.
Grice, J.
Li, L.
Liu, Jian
Xu, Z.
Roberts, M.
author_facet Liang, X.
Wang, H.
Grice, J.
Li, L.
Liu, Jian
Xu, Z.
Roberts, M.
author_sort Liang, X.
building Curtin Institutional Repository
collection Online Access
description © 2016 American Chemical Society. A physiologically based pharmacokinetic model was developed for accurately characterizing and predicting the in vivo fate of long-circulating inorganic nanoparticles (NPs). This model is built based on direct visualization of NP disposition details at the organ and cellular level. It was validated with multiple data sets, indicating robust inter-route and interspecies predictive capability. We suggest that the biodistribution of long-circulating inorganic NPs is determined by the uptake and release of NPs by phagocytic cells in target organs.
first_indexed 2025-11-14T10:49:22Z
format Journal Article
id curtin-20.500.11937-71707
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:49:22Z
publishDate 2016
publisher American Chemical Society
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-717072018-12-13T09:32:59Z Physiologically Based Pharmacokinetic Model for Long-Circulating Inorganic Nanoparticles Liang, X. Wang, H. Grice, J. Li, L. Liu, Jian Xu, Z. Roberts, M. © 2016 American Chemical Society. A physiologically based pharmacokinetic model was developed for accurately characterizing and predicting the in vivo fate of long-circulating inorganic nanoparticles (NPs). This model is built based on direct visualization of NP disposition details at the organ and cellular level. It was validated with multiple data sets, indicating robust inter-route and interspecies predictive capability. We suggest that the biodistribution of long-circulating inorganic NPs is determined by the uptake and release of NPs by phagocytic cells in target organs. 2016 Journal Article http://hdl.handle.net/20.500.11937/71707 10.1021/acs.nanolett.5b03854 American Chemical Society restricted
spellingShingle Liang, X.
Wang, H.
Grice, J.
Li, L.
Liu, Jian
Xu, Z.
Roberts, M.
Physiologically Based Pharmacokinetic Model for Long-Circulating Inorganic Nanoparticles
title Physiologically Based Pharmacokinetic Model for Long-Circulating Inorganic Nanoparticles
title_full Physiologically Based Pharmacokinetic Model for Long-Circulating Inorganic Nanoparticles
title_fullStr Physiologically Based Pharmacokinetic Model for Long-Circulating Inorganic Nanoparticles
title_full_unstemmed Physiologically Based Pharmacokinetic Model for Long-Circulating Inorganic Nanoparticles
title_short Physiologically Based Pharmacokinetic Model for Long-Circulating Inorganic Nanoparticles
title_sort physiologically based pharmacokinetic model for long-circulating inorganic nanoparticles
url http://hdl.handle.net/20.500.11937/71707