AOM Lab at ITIC
Two researchers from AOM Lab presented in 13th International Conference on Toxic Cyanobacteria (ICTC-13)
Two researchers from AOM Lab presented in 13th International Conference on Toxic Cyanobacteria (ICTC-13)
Dr Xiaoran (Daisy) Chu鈥檚 talk on 鈥Persistence of potentially toxin-generating cyanobacteria in drinking water treatment plants across Eastern Australia鈥 is part of the industry project 鈥Advanced diagnostics and treatment strategies to mitigate the risk of algal growth and accumulation within water treatment plants鈥. The authors analysed 10鈥30 years of historical data from 16 DWTPs across eastern Australia, examining how algal and cyanobacterial communities evolve as water passes through treatment processes. The findings revealed that while treatment barriers substantially reduce cell numbers and cyanotoxin concentrations, potentially toxic cyanobacteria such as Pseudanabaena, Planktolyngbya, and Aphanizomenonaceae can still be detected in post-filtration stages and supernatant return streams. The next phase of this work will apply multivariate statistical models to explore how operational factors, hydraulic conditions, and water quality influence cyanobacterial persistence, providing a more comprehensive understanding of how to mitigate risks within treatment plants.
Dr Fitri Widhiastuti presented her latest work on 鈥Integrating Cyanotoxin Detection using LC-MS Triple Quadrupole with Cell Viability Assessment鈥. Her presentation spotlighted a highly integrative approach to monitoring harmful cyanobacteria, a pressing global issue as climate change accelerates freshwater bloom events. Fitri鈥檚 work bridges cutting-edge analytical chemistry with environmental toxicology by combining Liquid Chromatography鈥揗ass Spectrometry (LC-MS) Triple Quadrupole technology and flowcytometer for cell viability assessment.
"While traditional toxin monitoring often focuses on chemical concentrations alone, this approach offers a more ecologically relevant picture linking actual toxicity with bloom health"
The method improves detection accuracy for cyanotoxins and enables real-time assessment of their biological risks, supporting early warning systems for water safety.