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 Publications

N. K. Geitner, Bossa, N. , and Wiesner, M. R. , Formulation and Validation of a Functional Assay-Driven Model of Nanoparticle Aquatic Transport, Environmental Science & Technology, 2019.
B. P. Espinasse, Geitner, N. K. , Schierz, A. , Therezien, M. , Richardson, C. J. , Lowry, G. V. , Ferguson, L. , and Wiesner, M. R. , Comparative Persistence of Engineered Nanoparticles in a Complex Aquatic Ecosystem, Environmental Science & Technology, 2018.
N. K. Geitner, O’Brien, N. J. , Turner, A. A. , Cummins, E. J. , and Wiesner, M. R. , Measuring Nanoparticle Attachment Efficiency in Complex Systems, Environmental Science & Technology, 2017.
S. M. Rodrigues, Demokritou, P. , Dokoozlian, N. , Hendren, C. O. , Karn, B. , Mauter, M. S. , Sadik, O. A. , Safarpour, M. , Unrine, J. M. , and Viers, J. , Nanotechnology for sustainable food production: promising opportunities and scientific challenges, Environmental Science: NanoEnvironmental Science: Nano, vol. 4, pp. 767-781, 2017.
X. Gao, Spielman-Sun, E. , Rodrigues, S. M. , Casman, E. A. , and Lowry, G. V. , Time and Nanoparticle Concentration Affect the Extractability of Cu from CuO NP-Amended Soil, Environmental Science & TechnologyEnvironmental Science & Technology, 2017.
A. L. Dale, Lowry, G. V. , and Casman, E. A. , Accurate and fast numerical algorithms for tracking particle size distributions during nanoparticle aggregation and dissolution, Environmental Science: NanoEnvironmental Science: Nano, vol. 4, pp. 89-104, 2016.
N. K. Geitner, Marinakos, S. M. , Guo, C. , O’Brien, N. , and Wiesner, M. R. , Nanoparticle Surface Affinity as a Predictor of Trophic Transfer, Environmental Science & Technology, vol. 50, no. 13, pp. 6663 - 6669, 2016.
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, 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.