Jon Arnot

Dr. Arnot is the President of ARC Arnot Research & Consulting and an adjunct professor in the Department of Physical and Environmental Science and in the Department of Pharmacology and Toxicology at the University of Toronto. He has 20 years of research experience in the development, application, and evaluation of databases, methods and models to assess the exposure, hazard, and risk of organic chemicals to humans and the environment. His research has focused on the application of high-throughput screening methods for prioritizing chemicals for risk assessment. He is the principal investigator or co-investigator of various international projects including collaborations in the United States, Europe, and Canada. Dr. Arnot served on the National Academies of Sciences, Engineering, and Medicine Committee on Incorporating 21st Century Science into Risk-Based Evaluations. Dr. Arnot currently serves on Canada’s Chemicals Management Plan Scientific Committee (2017-2022). He was the recipient of the James M. McKim III Innovative Student Research Award (2008) from the International QSAR Foundation to Reduce Animal Testing and the Society of Environmental Toxicology and Chemistry (SETAC) Best Student Paper Award (2009).  Dr. Arnot earned his PhD in environmental and life sciences from Trent University.

Selected Publications:

1. Berthiaume A, Arnot JA, Toose L. 2022. Risk-based prioritization of organic substances in the Canadian National Pollutant Release Inventory using an evaluative regional-scale multimedia mass balance model. Integr Environ Assess Manag. In Press DOI

2. Papa E, Sangion A, Arnot JA, Gramatica P. 2017. Development of human biotransformation QSARs and application for PBT assessment refinement. Food Chem Toxicol http://doi.org/10.1016/j.fct.2017.04.016

3. Brown TN, Armitage JM, Egeghy PP, Kircanski I, Arnot JA. 2016. Dermal permeation data and models for the prioritization and screening-level exposure assessment of organic chemicals. Environ Int 94: 424-435
4. Shin H-M, Ernstoff A, Arnot JA, Wetmore B, Csiszar S, Fantke P, Zhang X, McKone T, Jolliet O, Bennett D. 2015. Risk-based high-throughput chemical screening and prioritization using exposure models and in vitro bioactivity assays. Environ Sci Technol 49(11): 6760-71
5. Zhang X, Arnot JA, Wania F. 2014. Model for screening-level assessment of near-field human exposure to neutral organic chemicals released indoors. Environ Sci Technol 48(20): 12312–12319
6. Armitage JM, Wania F, Arnot JA. 2014. Application of mass balance models and the chemical activity concept to facilitate the use of in vitro toxicity data for risk assessment. Environ Sci Technol 48(16): 9770-9779
7. Arnot JA, Brown TN, Wania F. 2014. Estimating screening-level organic chemical half-lives in humans. Environ Sci Technol 48(1): 723–730
8. Wambaugh JF, Setzer RW, Reif DM, Gangwal S, Mitchell-Blackwood J, Arnot JA, Joliet O, Frame A, Rabinowitz J, Knudsen TB, Judson RS, Egeghy P, Vallero D, Cohen Hubal EA. 2013. High-throughput models for exposure-based chemical prioritization in the ExpoCast project. Environ Sci Technol 47 (15): 8479–8488
9. Arnot JA, Brown TN, Wania F, Breivik K, McLachlan MS. 2012. Prioritizing chemicals and data requirements for screening-level exposure and risk assessment. Environ Health Persp 120(11): 1565-1570
10. Arnot JA, Armitage JM, McCarty LS, Wania F, Cousins I, Toose-Reid L. 2011. Toward a consistent evaluative framework for POP risk characterization. Environ Sci Technol 45(1): 97-103
11. Arnot JA, Mackay D, Parkerton TF, Zaleski RT, Warren CS. 2010. Multimedia modelling of human exposure to chemical substances: the roles of biomagnification and biotransformation. Environ Toxicol Chem 29(1): 45-55
12. Arnot JA, Meylan W, Tunkel J, Howard PH, Mackay D, Bonnell M, Boethling RS. 2009. A quantitative structure-activity relationship for predicting metabolic biotransformation rates for organic chemicals in fish. Environ Toxicol Chem 28(6): 1168-1177
13. Arnot JA, Mackay D. 2008. Policies for chemical hazard and risk priority setting: can persistence, bioaccumulation, toxicity and quantity information be combined? Environ Sci Technol 42: 4648-4654
14. Arnot JA, Gobas FAPC. 2004. A food web bioaccumulation model for organic chemicals in aquatic ecosystems. Environ Toxicol Chem 23(10): 2343–2355