Superfund Research Program
Spatial Patterns of Metals and Metal Mixtures in Drinking Water
Project Leader: Elsie M. Sunderland
Co-Investigator: Francine Laden
Grant Number: P42ES030990
Funding Period: 2020-2025
Project-Specific Links
- Project Summary
Publications
2022
- Hu XC, Dai M, Sun JM, Sunderland EM. 2022. The utility of machine learning models for predicting chemical contaminants in drinking water: promise, challenges, and opportunities. Curr Environ Health Rep doi:10.1007/s40572-022-00389-x PMID:36527604
2021
- Bhatia M, Specht AJ, Ramya V, Sulaiman D, Konda M, Balcom PH, Sunderland EM, Qureshi A. 2021. Portable x-ray fluorescence as a rapid determination tool to detect parts per million levels of Ni, Zn, As, Se, and Pb in human toenails: A South India case study. Environ Sci Technol 55:13113-13121. doi:10.1021/acs.est.1c00937 PMID:34529917 PMCID:PMC8582015