Using machine learning techniques to monitor PFAS in Michigan drinking water | MSUToday

Using machine learning techniques to monitor PFAS in Michigan drinking water | MSUToday

Newly revealed analysis from Michigan State University scientists demonstrates how regionally particular machine learning-based modeling extra successfully screens ranges of per- and polyfluoroalkyl, or PFAS, chemical substances in Michigan drinking water in contrast to nationwide fashions.

A. Pouyan Nejadhashemi, MSU Foundation Professor

Findings have been revealed in the journal Water Research.
The venture was led by A. Pouyan Nejadhashemi, MSU Foundation Professor in the departments of Biosystems and Agricultural Engineering, and Plant, Soil and Microbial Sciences. Other collaborating researchers in Nejadhashemi’s laboratory have been Nicolas Fernandez, who lately joined the University of Florida as a postdoctoral affiliate, and Christian Loveall.
PFAS, a category of hundreds of chemical substances, has been a subject of accelerating concern during the last a number of years. Toxicological research have proven hyperlinks to quite a few human well being issues, corresponding to cancers and problems of the endocrine system, which controls hormone regulation, neurological improvement and different important processes.
Nejadhashemi, an professional in modeling and ecohydrology — the interplay between water and ecological techniques — is advancing understanding of how PFAS strikes by way of the surroundings and what will be accomplished to reduce its dangerous results.
The workforce utilized a department of synthetic intelligence often called machine learning that’s designed to use information and algorithms to mimic the way in which people study, bettering accuracy over time.
“The Michigan Department of Environment, Great Lakes, and Energy estimates that over 1.5 million residents have consumed PFAS-contaminated water, and greater than 11,300 websites are suspected to be contaminated with PFAS,” stated Nejadhashemi, a college member in the MSU Center for PFAS Research and with MSU AgBioResearch. “However, the silver lining lies in a newly developed PFAS predictive mannequin that gives promise in figuring out regional PFAS concentrations and presence.”
To learn extra, go to the AgBioResearch web site.

https://msutoday.msu.edu/news/2023/using-maching-learing-to-monitor-pfas-michigan-drinking-water

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