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Can Smart Electrochemical Sensors Sustainably Tackle PFAS-@Microplastics?
Summary
This perspective explores the potential for smart electrochemical sensors to detect both microplastics and per- and polyfluoroalkyl substances in water systems. While existing sensors can detect each pollutant separately at very low concentrations, simultaneous detection of PFAS bound to microplastics has not yet been achieved. The authors suggest that integrating internet-of-things connectivity and artificial intelligence modeling could advance real-time environmental monitoring of these combined contaminants.
Microplastics (MPs, long-lasting pollutants) can carry per- and polyfluoroalkyl substances (PFAS, forever chemicals) in aquatic systems. PFAS@MP complexation is a threat to the human cycle, and tackling this issue is crucial for sustainability. Electrochemical sensors detect MPs (ppb) and PFAS (ppt) selectively, but simultaneous detection of both in the PFAS@MP complexation has not been demonstrated. To handle these issues, the internet-of-things-based sensing technology should be tuned to perform MPs/PFAS sensing at point-of-care applications. Furthermore, incorporating artificial intelligence (AI)-based modeling can aid in risk assessments and decision-making to facilitate efficient management and monitoring of a sustainable environment.
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