Our research includes:
-The evaluation of chemicals for potential harmful effects to humans and the environment through hazard (“PBT”), exposure and risk assessment.
– The development, critical evaluation and application of databases, mass balance models and Quantitative Structure-Activity Relationships (QSARs).
We collaborate with colleagues in academia, industry and government.
ARC Arnot Research & Consulting strives to improve the scientific understanding of the potential hazards and risks chemicals may cause to humans and the environment.
New open source publication: “Development and Evaluation of a Holistic and Mechanistic Modeling Framework for Chemical Emissions, Fate, Exposure, and Risk.” by Li et al. in Environmental Health Perspectives. Link Here.
The new PROTEX-HT model described and evaluated in this publication consolidates various databases and models to simulate chemical emissions, environmental fate in indoor and natural environments, food web bioaccumulation, aggregate exposure to humans and ecological receptors, and risk estimates at a screening-level requiring only chemical structure and production volume information as input parameters.
Click below to register and try PROTEX-HT for free in EAS-E Suite.
EAS-E Suite (BETA) Ver.0.9.
Available Now: EAS-E Suite (BETA) Ver.0.9. Register below for access.
Released July 2021
New open source publication: “Update and Evaluation of a High-Throughput In Vitro Mass Balance Distribution Model: IV-MBM EQP v2.0.” by Armitage et al.
The New IV-MBM Ver.2.0 is available in EAS-E Suite.
New open source publication
Released May 2021
Development and intercomparison of single and multicompartment physiologically-based toxicokinetic models:
Implications for model selection and tiered modeling frameworks” by Armitage et al. in Environment International
February 17, 2021
ARC research highlighted at the ACC LRI
“Improving understanding of indoor
New open source publication: “Addressing uncertainty in mouthing-mediated ingestion of chemicals on indoor surfaces, objects, and dust”, by Li et al.