Daisuke Minakata (CEE) and his students with his collaborator, Kerry Howe, at the University of New Mexico published their research findings and a predictive model in Environmental Science and Technology, a premium journal in environmental science and engineering field.
The study developed a group contribution method to predict the rejection of diverse organic chemicals through commercially available Reverse Osmosis membranes for potable reuse of wastewater. Minakata states that this is a significant step to predict the permeability of many diverse organic compounds through membrane technologies based on only given structural information of organics. The paper provides an MS Excel spreadsheet that allows anyone to download and use for the prediction as supporting information.
Minakata comments that the model is useful for water industries, policymakers and regulators that consider the contaminants under the future regulations, water treatment utilities, and educators who can implement this tool in class. From Minakata’s group, one graduate and three undergraduate researchers worked on this project with the support from WateResearch Foundation and internal Michigan Tech Summer Undergraduate Research Fellowship (SURF) by Pavlis Honors College.