Core C: Modeling and Risk Forecasting

The information generated in our experimental efforts must be synthesized in a manner that facilitates interpretation among researchers and communication to students, and stakeholders. A risk assessment framework is an ideal vehicle to accomplish this task. CEINT research priorities are informed by a rigorous assessment of their risks vs. their benefits. Building on strategies from traditional environmental risk analysis for identifying research objectives, bounding problems, articulating uncertainties, and defining endpoints for analysis, we model complex and dynamic interactions of nanomaterials with the environment, and address life cycle considerations while reflecting the uncertainties in the current state of the science.

Selected Publicaitons

A. L. Dale, Casman, E. A. , Lowry, G. V. , Lead, J. R. , Viparelli, E. , and Baalousha, M. , Modeling Nanomaterial Environmental Fate in Aquatic Systems, Environmental Science & Technology, vol. 49, no. 5, pp. 2587 - 2593, 2015.
C. O. Hendren, Lowry, G. V. , Unrine, J. M. , and Wiesner, M. R. , A functional assay-based strategy for nanomaterial risk forecasting, Science of The Total Environment, 2015.
L. E. Barton, Auffan, M. , Durenkamp, M. , McGrath, S. , Bottero, J. - Y. , and Wiesner, M. R. , Monte Carlo simulations of the transformation and removal of Ag, TiO2, and ZnO nanoparticles in wastewater treatment and land application of biosolids, Science of The Total Environment, vol. 511, pp. 535 - 543, 2015.
A. L. Dale, Lowry, G. V. , and Casman, E. A. , Much ado about α: reframing the debate over appropriate fate descriptors in nanoparticle environmental risk modeling, Environ. Sci.: Nano, vol. 2, no. 1, pp. 27-32, 2015.
C. Powers, Hendren, C. , Wang, A. , and Davis, M. J. , Transparent stakeholder engagement in practice: Lessons learned from applying comprehensive environmental assessment to research planning for nanomaterials, Integrated Environmental Assessment and Management, vol. 10, no. 4, pp. 498 - 510, 2014.
M. Therezien, Thill, A. , and Wiesner, M. R. , Importance of heterogeneous aggregation for NP fate in natural and engineered systems, Science of The Total Environment, vol. 485-486, pp. 309 - 318, 2014.
L. E. Barton, Therezien, M. , Auffan, M. , Bottero, J. - Y. , and Wiesner, M. R. , Theory and Methodology for Determining Nanoparticle Affinity for Heteroaggregation in Environmental Matrices Using Batch Measurements, Environmental Engineering Science, vol. 31, no. 7, pp. 421 - 427, 2014.
L. E. Barton, Auffan, M. , Bertrand, M. , Barakat, M. , Santaella, C. , Masion, A. , Borschneck, D. , Olivi, L. , Roche, N. , Wiesner, M. R. , and Bottero, J. - Y. , Transformation of Pristine and Citrate-Functionalized CeO 2 Nanoparticles in a Laboratory-Scale Activated Sludge Reactor, Environmental Science & Technology, vol. 48, no. 13, pp. 7289 - 7296, 2014.
J. M. Gernand and Casman, E. A. , Machine Learning for Nanomaterial Toxicity Risk Assessment, IEEE Intelligent Systems, vol. 29, no. 3, pp. 84 - 88, 2014.
E. S. Money, Barton, L. E. , Dawson, J. , Reckhow, K. H. , and Wiesner, M. R. , Validation and sensitivity of the FINE Bayesian network for forecasting aquatic exposure to nano-silver, Science of The Total Environment, vol. 473-474, pp. 685 - 691, 2014.