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dc.contributor.authorMaharjan, Samee
dc.contributor.authorSharma, Roshan
dc.contributor.authorHusøy, Trine
dc.contributor.authorDirven, Hubert
dc.contributor.authorAndreassen, Monica
dc.contributor.authorLie, Bernt
dc.date.accessioned2016-03-16T08:58:16Z
dc.date.accessioned2017-04-19T12:50:08Z
dc.date.available2016-03-16T08:58:16Z
dc.date.available2017-04-19T12:50:08Z
dc.date.issued2015-11-25
dc.identifier.citationMaharjan, S., Sharma, R., Husøy, T., Dirven, H., Andreassen, M., & Lie, B. (2015). Modeling and Simulation of Triclosan Kinetics and Distribution in Humans Using a PBPK Model. Paper presented at the 56th Conference on Simulation and Modelling (SIMS 56), October, 7-9, 2015, Linköping University, Sweden. doi:http://dx.doi.org/10.3384/ecp15119279
dc.identifier.issn1650-3686
dc.identifier.urihttp://hdl.handle.net/11250/2438462
dc.description.abstractPersonal care products (PCPs) such as soaps, perfumes, toothpastes, lotions, etc. contain various chemicals. Triclosan (TCS) is widely used as an antibacterial additive in PCPs. Traces of TCS are found in human plasma and milk indicating absorption through the skin and/or after oral ingestion. In this paper, a Physiologically Based Pharmacokinetic or Toxicokinetic (PBPK/TK) model is developed to assess the behavior of TCS in human body after exposure to PCPs orally or through the skin. The model will describe metabolism, kinetics and distribution in human organs. The developed model is based on available literature data on biotransformation in rodents and humans, and is simulated using MATLAB and/or Modelica. The intention of the work is to further develop the model and fit model parameters to experimental data, and to develop a PBPK model useful for human risk assessment of TCS.
dc.language.isonob
dc.publisherLinköping University Electronic Press
dc.subjectmodeling
dc.subjectsimulation
dc.subjectPBPK
dc.subjecttriclosan
dc.subjectkinetics
dc.subjectdistribution
dc.subjecthumans
dc.titleModeling and Simulation of Triclosan Kinetics and Distribution in Humans Using a PBPK Model
dc.typeJournal article
dc.typePeer reviewed
dc.description.versionPublished version
dc.subject.nsi476
dc.source.journalLinköping Electronic Conference Proceedings
dc.identifier.doihttp://dx.doi.org/10.3384/ecp15119279


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