Nonaqueous phase organic liquids are widespread contaminants of subsurface soils and groundwater. From a human health perspective, these organic liquids are of particular concern because they tend to represent long-term sources of pollution and create diverse and persistent pathways for eventual human exposure. The work proposed in this Project is directed towards the investigation of processes which influence the entrapment, persistence, transport, bioavailability, and toxicity of organic liquid components in the natural subsurface environment. It represents a fundamental research program which builds upon previous and current NIEHS-funded projects and integrates laboratory and mathematical modeling investigations. This project focuses on the behavior and toxicity of complex polycyclic aromatic hydrocarbon (PAH) mixtures.
Its specific aims relate to the quantification of compositional influences on phase equilibria, mass transfer kinetics, and biotransformations, and to the exploration of sorption processes and bioavailability in natural media. Collaboration with other project investigators through the Products Evaluation Core will facilitate the assessment of the epigenetic toxicity of PAH mixture prior and subsequent to biotransformation. Thus, the work proposed is designed to logically extend the knowledge gained in previous NIEHS-funded projects to consider the interaction of multiple processes, the influence of chemical and physical heterogeneities on these processes, and the behavior and fate of complex NAPL mixtures. Although directed primarily at the investigation of naturally occurring attenuation processes, the knowledge gained from these studies will have immediate applications to the design of more effective remediation strategies.

Project Start
1999-04-01
Project End
2000-03-31
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
11
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Michigan State University
Department
Type
DUNS #
193247145
City
East Lansing
State
MI
Country
United States
Zip Code
48824
Nault, Rance; Doskey, Claire M; Fader, Kelly A et al. (2018) Comparison of Hepatic NRF2 and Aryl Hydrocarbon Receptor Binding in 2,3,7,8-Tetrachlorodibenzo-p-dioxin-Treated Mice Demonstrates NRF2-Independent PKM2 Induction. Mol Pharmacol 94:876-884
Dornbos, Peter; LaPres, John J (2018) Incorporating population-level genetic variability within laboratory models in toxicology: From the individual to the population. Toxicology 395:1-8
Zhang, Shuai; Liu, Qinfu; Gao, Feng et al. (2018) Interfacial Structure and Interaction of Kaolinite Intercalated with N-methylformamide Insight from Molecular Dynamics Modeling. Appl Clay Sci 158:204-210
Fader, Kelly A; Nault, Rance; Raehtz, Sandi et al. (2018) 2,3,7,8-Tetrachlorodibenzo-p-dioxin dose-dependently increases bone mass and decreases marrow adiposity in juvenile mice. Toxicol Appl Pharmacol 348:85-98
Zhang, Shuai; Liu, Qinfu; Cheng, Hongfei et al. (2018) Mechanism Responsible for Intercalation of Dimethyl Sulfoxide in Kaolinite: Molecular Dynamics Simulations. Appl Clay Sci 151:46-53
Zhang, Qiang; Li, Jin; Middleton, Alistair et al. (2018) Bridging the Data Gap From in vitro Toxicity Testing to Chemical Safety Assessment Through Computational Modeling. Front Public Health 6:261
Fader, K A; Nault, R; Kirby, M P et al. (2018) Corrigendum to ""Convergence of hepcidin deficiency, systemic iron overloading, heme accumulation, and REV-ERB?/? activation in aryl hydrocarbon receptor-elicited hepatotoxicity"" [Toxicol. Appl. Pharmacol. 321 (2017) 1-17]. Toxicol Appl Pharmacol 344:74
Konganti, Kranti; Ehrlich, Andre; Rusyn, Ivan et al. (2018) gQTL: A Web Application for QTL Analysis Using the Collaborative Cross Mouse Genetic Reference Population. G3 (Bethesda) 8:2559-2562
Zhang, Shuai; Liu, Qinfu; Gao, Feng et al. (2018) Molecular Dynamics Simulation of Basal Spacing, Energetics, and Structure Evolution of a Kaolinite-Formamide Intercalation Complex and Their Interfacial Interaction. J Phys Chem C Nanomater Interfaces 122:3341-3349
Williams, M R; Stedtfeld, R D; Waseem, H et al. (2017) Implications of direct amplification for measuring antimicrobial resistance using point-of-care devices. Anal Methods 9:1229-1241

Showing the most recent 10 out of 417 publications