07/10/2026 | Companies

analytical chemistry, artificial intelligence, biosensor calibration, biosensors, climate change, cyanobacteria, cyanobacterial toxins, cyanotoxins, drinking water safety, electrical conductivity, electrochemical impedance, electrochemical sensors, environmental health, environmental monitoring, environmental sensing, explainable AI, freshwater ecosystems, freshwater monitoring, Hanbat National University, harmful algal blooms, Machine learning, MC-LR, microcystin-LR, on-site water testing, pH, predictive modeling, rapid toxin detection, recreational water, screen-printed carbon electrode, SHAP, SPCE biosensor, total dissolved solids, toxin detection, turbidity, University of Central Florida, UV254, water pollution, water quality, water research, XGBoost