A molecular-based method to estimate the risk associated with cyanotoxins and odor compounds in drinking water sources

Keng Yu Lu, Yi Ting Chiu, Michael Burch, D. Senoro, Tsair Fuh Lin

研究成果: Article同行評審

15 引文 斯高帕斯(Scopus)


A biomolecular-based monitoring approach for the assessment of water quality hazards and risks associated with cyanobacteria was developed and validated in drinking reservoirs in Taiwan and the Philippines. The approach was based upon the measurement of gene abundances of toxigenic Microcystis and Cylindrospermopsis; for cyanotoxins; and for aesthetically offensive earthy-musty odor compounds. This was compared to conventional monitoring approaches, which included cell enumeration by microscopy, and toxin and odor compound analysis by instrumental analytical methods and immunoassays as appropriate for the metabolites. The validation involved samples from ten major reservoirs on Taiwan's main island, nineteen reservoirs on the offshore islands, and Laguna de Bay in the Philippines. The gene-based approach was successfully validated statistically and compared to conventional widely utilized risk assessment schemes which have employed ‘Alert Levels’ for toxic cyanobacteria. In this case a new integrated scheme of ‘Response Levels’ is proposed which incorporates odor metabolite hazards in addition to cyanotoxins and is based upon gene copy numbers to derive quantitative triggers. The comprehensive scheme evaluated from these locations is considered to be more precise and efficient for both monitoring and as a risk assessment diagnostic tool, given that it offers the capacity for analysis of the abundance of genes for cyanobacterial metabolites in large numbers of natural water samples in a significantly reduced period of time compared to the approaches of cell enumeration by microscopy or metabolite analytical techniques. This approach is the first time both the hazard and risk for both odors and cyanotoxins from cyanobacteria have been considered together in a monitoring scheme and offers an improved means for determining the Response Levels in the risk assessment process for cyanobacteria and their metabolites in drinking water sources.

期刊Water Research
出版狀態Published - 2019 11月 1

All Science Journal Classification (ASJC) codes

  • 環境工程
  • 土木與結構工程
  • 生態建模
  • 水科學與技術
  • 廢物管理和處置
  • 污染


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