The impact of PFAS on the public health and safety of future food supply in Europe: Challenges and AI technologies solutions of environmental sustainability DOI Open Access
Ioannis Adamopoulos, Antonios Valamontes,

John T. Karantonis

et al.

European Journal of Sustainable Development Research, Journal Year: 2025, Volume and Issue: 9(2), P. em0288 - em0288

Published: April 23, 2025

Per- and polyfluoroalkyl substances (PFAS) are persistent organic pollutants extensively used in industrial consumer applications. Their accumulation European agricultural soils through discharges, biosolid applications, contaminated irrigation water poses an unprecedented threat to food security, soil health, quality. Despite extensive laboratory research, no full-scale, long-term validated PFAS remediation study exists, leaving critical gaps mitigation strategies. Existing approaches–including mobilization, immobilization, degradation techniques–have demonstrated effectiveness controlled environments but lack real-world validation dynamic settings. This proposes artificial intelligence (AI)-driven framework that integrates real-time detection tools, predictive modeling, adaptive technologies overcome these challenges. Unlike static strategies, the proposed AI-assisted system dynamically optimizes interventions based on contamination patterns, composition, environmental conditions. Machine learning algorithms statistical models enable precise tracking, migration automated decision-making, offering a scalable responsive solution for sustainable management. underscores urgent need large-scale, policy-backed field trials validate AI-driven technologies, bridging gap between scientific advancements implementation. By transitioning from theory adaptive, field-deployable framework, this research ensures solutions resilience, public health protection.

Language: Английский

Development and validation of robust single extraction method for analysis of PAHs, HBCD, BDE, and PCBs in the coastal environment DOI
Pooja Thathola, Hitesh Saravaia,

Harshad Brahmbhatt

et al.

Analytical Methods, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Simple and single step extraction method of selected POPs from marine environment.

Language: Английский

Citations

0
Bioindicators for monitoring atmospheric perfluorinated compounds: review of occurrences, transport, fate and analytical protocols DOI Creative Commons
Nnanake‐Abasi O. Offiong, Imeh J. Okop, Solomon E. Shaibu

et al.

Environmental Chemistry, Journal Year: 2025, Volume and Issue: 22(2)

Published: March 24, 2025

Environmental context Perfluorinated compounds are emerging organic contaminants recently detected in various environmental matrices and remain largely unregulated. Among these matrices, air is the least studied one due to analytical challenges. This review explores trends analysing perfluorinated with use of bioindicators highlights future research needs address existing gaps detection monitoring. Abstract (PFCs) persistent pollutants extensive industrial applications, including firefighting foams, nonstick coatings textiles. Their contamination widespread their resistance degradation long-range atmospheric transport, leading presence ecosystems. PFCs pose significant hazards, bioaccumulation, endocrine disruption, hormonal imbalances potential carcinogenic effects. Despite ubiquity compartments, studies limited provides first comprehensive analysis biomonitoring atmosphere using bioindicators. The databases consulted for include Web Science, Scopus, ScienceDirect, PubMed Google Scholar. By examining literature, we identify key gaps, highlight limitations underscore need standardised methods improve monitoring accuracy.

Language: Английский

Citations

0
The impact of PFAS on the public health and safety of future food supply in Europe: Challenges and AI technologies solutions of environmental sustainability DOI Open Access
Ioannis Adamopoulos, Antonios Valamontes,

John T. Karantonis

et al.

European Journal of Sustainable Development Research, Journal Year: 2025, Volume and Issue: 9(2), P. em0288 - em0288

Published: April 23, 2025

Per- and polyfluoroalkyl substances (PFAS) are persistent organic pollutants extensively used in industrial consumer applications. Their accumulation European agricultural soils through discharges, biosolid applications, contaminated irrigation water poses an unprecedented threat to food security, soil health, quality. Despite extensive laboratory research, no full-scale, long-term validated PFAS remediation study exists, leaving critical gaps mitigation strategies. Existing approaches–including mobilization, immobilization, degradation techniques–have demonstrated effectiveness controlled environments but lack real-world validation dynamic settings. This proposes artificial intelligence (AI)-driven framework that integrates real-time detection tools, predictive modeling, adaptive technologies overcome these challenges. Unlike static strategies, the proposed AI-assisted system dynamically optimizes interventions based on contamination patterns, composition, environmental conditions. Machine learning algorithms statistical models enable precise tracking, migration automated decision-making, offering a scalable responsive solution for sustainable management. underscores urgent need large-scale, policy-backed field trials validate AI-driven technologies, bridging gap between scientific advancements implementation. By transitioning from theory adaptive, field-deployable framework, this research ensures solutions resilience, public health protection.

Language: Английский

Citations

0