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Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
Published on: February 25, 2021
Advancing the Discovery of Emerging Contaminants: A Leap in Technology and Data
Wenhui Qiu1, Pablo Gago-Ferrero2, Juliane Hollender3,4
1State Key Laboratory of Soil Pollution Control and Safety, Guangdong-Hong Kong Joint Laboratory for Soil and Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Abstract:
Emerging contaminants pose substantial threats to ecosystems and public health. While advances in analytical techniques and chemicals assessment have revealed the impacts of contaminants such as per- and polyfluoroalkyl substances, pharmaceutical residues, and microplastics, knowledge of the vast chemical universe remains limited. This Perspective examines the evolving attention toward emerging contaminants and drivers of their discovery. It identifies key challenges, including methodological limitations in detecting diverse chemical classes, fragmented data landscapes, and delays in translating scientific evidence into regulatory action. We highlight how technological and methodological innovations, particularly advanced analytical technologies, artificial intelligence, and future-oriented assessment frameworks, can shift paradigms in identifying and managing emerging contaminants from reactive to predictive. Critical to this transition is the adoption of open and FAIR principles (Findable, Accessible, Interoperable, and Reusable) and harmonized data standards to enable integration of heterogeneous evidence streams. Furthermore, we advocate coupling early warning systems with "Safe and Sustainable by Design" approaches to prevent regrettable substitution and reduce hazards at the source. Coordinated action across academia, regulators, industry, and funders is essential to establish proactive prevention as the norm in emerging contaminant management.
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