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Professor Nic Bury

Professor of Environmental Toxicology and Associate Dean for Research


Professor Nic Bury


T:+44 (0)1473 38830

School of (EAST) Engineering, Arts, Science & Technology

Professor Nic Bury's research interests are primarily covered by the UN Sustainable Development Goal (SDG) 15 and includes aquatic toxicology, stress physiology and environmental monitoring. He supports the 3Rs (refinement, reduction and replacement) approach in animal research and part of his research includes the development of alternative test procedure for fish in toxicological studies.  He is also a member of the Society for Environmental Toxicology and Chemistry and The Fisheries Society of the British Isles.


Current research interest:

•    Ecotoxicology (metals, pharmaceuticals, microplastics)

•    Cell culture systems to assess bioaccumulation of chemicals in fish and replacement in fish toxicity tests

•    Use of Artificial Intelligence in predictive toxicology.

•    Use of the UN SDGs for a sustainable future.

•    Sensor networks for environmental monitoring


Selection of recent publication:

Miller, T.H., Ng, K.T., Bury, S.T., Bury, S.E., Bury, N.R., Barron, L.P. 2019. Biomonitoring of pesticides, pharmaceuticals and illicit drugs in a freshwater invertebrate to estimate toxic or effect pressure. Environ Int. 129:595-606. doi: 10.1016/j.envint.2019.04.038.

Lavelle, A.M., Bury, N.R., O'Shea, F.T., Chadwick, M.A. 2019Influence of urban river restoration on nitrogen dynamics at the sediment-water interface. PLoS One. 14(3):e0212690. doi: 10.1371/journal.pone.0212690.

Bussolaro, D., Wright, S.L., Schnell, S., Schirmer, K., Bury, N.R., Arlt, V.M. 2019.Co-exposure to polystyrene plastic beads and polycyclic aromatic hydrocarbon contaminants in fish gill (RTgill-W1) and intestinal (RTgutGC) epithelial cells derived from rainbow trout (Oncorhynchus mykiss). Environ Pollut. 248:706-714. doi: 10.1016/j.envpol.2019.02.066.

Dohmann Chang, E., Hogstrand, C., Miller, T.H., Owen, S.F., Bury, N.R. 2019. The use of molecular descriptors to model pharmaceutical uptake by a fish primary gill cell culture epithelium. Environmental Science and Technology, in press. DOI: 10.1021/acs.est.8b04394.

Miller, TH; Gallidabino, MD; MacRae, JI; Owen, SF; Bury, NR; Barron, LP. 2019. Prediction of bioconcentration factors in fish and invertebrates using machine learning. Science of the Total Environment, 648, 80 – 89.

Miller, TH; Gallidabino, MD; MacRae, JI; Hogstrand, C; Bury, NR; Barron, LP; Snape, JR; Owen, SF. 2018. Machine Learning for Environmental Toxicology: A Call for Integration and Innovation. Environmental Science and Technology 52, 12953 – 12955.