# Machine Learning Calibration of Biosensors for Microcystin Toxin Monitoring in Freshwater A rapid and low-cost solution for harmful algal blooms in freshwater. - **Source:** [Phys.org - latest science and technology news stories](https://brifing.si/source/8b0f98da-d179-4c93-871f-7ac460bf9c61) - **Published:** 2026-07-12 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/ae1cb4f4-b97b-498a-88c9-4819fba1b1cf ## The Dangers of Microcystin Toxin Microcystin-lysine-arginine (MC-LR) is a highly potent toxin produced by cyanobacteria during harmful algal blooms in freshwater. Even at low concentrations, it can damage the liver and increase the risk of liver and colon cancer. ## WHO's Recommendation The World Health Organization (WHO) has set a guideline value of 1 microgram per liter for MC-LR in drinking water. This is a crucial step to prevent the serious health impacts of the toxin. ## The Role of Biosensors Portable screen-printed carbon electrode (SPCE) biosensors offer an effective method for the rapid and low-cost detection of MC-LR. This technology can play a critical role in the early detection of harmful algal blooms. ## Calibration with Machine Learning Machine learning techniques optimize the calibration of biosensors, enabling more accurate and reliable measurements. This allows for more effective monitoring of toxin levels. ## Importance for Health and Environment Monitoring MC-LR is crucial for protecting human health and maintaining environmental balance. Biosensors and machine learning make this process more accessible and effective. ## Future Applications The development of this technology can also be applied to monitor other toxins and pollutants in freshwater. This could have a broad impact on environmental health and safety. ## Sources covering this story - https://phys.org/news/2026-07-machine-calibration-biosensors-microcystin-toxin.html — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._