Membrane Research

Automatic Algae Counting Techniques for Odor Prediction in Drinking Water Sources

Key Researcher:  Sandrine Boivin

Facile technique for automatically counting odor-producing algae

Frequent on-site analysis using this facile method will play a role in providing early warnings of potential 2-MIB occurrence and enabling precautionary countermeasures at drinking water treatment plants. 

Publication: Environmental Science: Water Research and Technology 2023, Environmental Science: Water Research and Technology 2021

Online monitoring of bromate in treated wastewater

The online-monitored data can be utilized as an indicator of high bromate ion concentrations exceeding the guideline value.

Publication: Environmental Science: Water Research and Technology 2022

Online NDMA analysis

The online-monitored data can be utilized as an indicator of high NDMA ion concentrations exceeding the guideline value.

Publication: Environmental Science: Water Research and Technology 2023