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Published on: August 28, 2019
[Specific nature of the software used to construct simulations: physiologically-based toxicokinetic models]
1Zakład Zagrozeń Chemicznych i Pyłowych Instytut Medycyny Pracy, Łodz.
Physiologically-based toxicokinetic (PBTK) models were developed to predict chemical exposure in the workplace. These models accurately forecast chemical concentrations, aiding in occupational exposure assessments.
Area of Science:
- Toxicology
- Computational Chemistry
- Environmental Health
Context:
- Physiologically-based toxicokinetic (PBTK) models are crucial for understanding chemical behavior in the body.
- Existing simulation languages like ACSL facilitate PBTK model development.
- Workplace chemicals, such as trimethylbenzene (TMB) isomers, pose risks in industries like petrochemicals and paints.
Purpose:
- To establish principles for constructing a fundamental PBTK model.
- To develop specific PBTK models for workplace chemicals, exemplified by trimethylbenzene (TMB) isomers.
- To validate the model's accuracy using experimental data from human volunteers.
Summary:
- A fundamental PBTK model with four main and six auxiliary compartments was designed.
- The model structure allows for modifications to simulate various chemicals and organisms.
- A specific model for 1,2,3-TMB (hemimellitene) was created and validated against metabolite excretion data from volunteers.
- Simulations for extended exposure periods (one week, one month) were conducted.
Impact:
- The developed PBTK models demonstrate high convergence with experimental data.
- The models accurately predict chemical and metabolite concentrations in the body based on workplace exposure levels.
- This facilitates improved occupational exposure assessments and risk management strategies.
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