AIMC Topic: Environmental Pollutants

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Using Machine Learning to Predict First-Order Reaction Rate Constants of PFAS Degradation.

Bulletin of environmental contamination and toxicology
Per- and polyfluoroalkyl substances (PFAS) are environmentally persistent pollutants, posing challenges for effective remediation. This study presented a machine learning (ML) framework to predict the first-order reaction rate constant (k) of PFAS de...

Advancing PFAS Detection through Machine Learning Prediction of F NMR Spectra.

Environmental science & technology
Per- and polyfluoroalkyl substances (PFAS) are persistent environmental pollutants with diverse structures. To further advance the impact assessment and remediation technology for PFAS pollution, new approaches for identifying emerging PFAS are neces...

Identifying toxicological effects of perfluoroalkyl and polyfluoroalkyl substances exposure on osteoarthritis.

Scientific reports
Perfluoroalkyl and polyfluoroalkyl substances (PFAS) pose a significant challenge due to their persistence, bioaccumulation, and multi-system toxicity. Their impact on degenerative diseases, particularly osteoarthritis (OA), remains understudied, nec...

Chemical sensors for hazardous substances: advances in design, materials, and applications in environmental monitoring.

Environmental monitoring and assessment
Chemical sensors have become essential tools for real-time detection of hazardous substances in complex environmental systems. This review synthesizes recent advances in sensor technologies, focusing on innovations in materials, architectures, and in...

Machine learning in ecotoxicology: Pollutant exposure levels and detection, biotoxicity and environmental behavior prediction.

The Science of the total environment
In recent years, the worsening problem of environmental pollution and the limitations of traditional toxicological assays have accelerated the adoption of machine learning (ML) in ecotoxicology. ML enables rapid and accurate prediction of pollutant e...

Microalgae-based bioremediation of emerging contaminants: techniques, recent developments, and future perspectives.

Archives of microbiology
Rapid industrialisation, urbanisation, and agricultural chemical fertilizer expansion have raised concerns over the accumulation and biomagnification of recalcitrant and emerging contaminants. Often, these compounds are resistant to degradation, and ...

Multi-omics-based decoding of circulating biomarkers in amyotrophic lateral sclerosis and risks in environmental toxins.

BMC pharmacology & toxicology
BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by the interplay of genetic and environmental factors, and currently, there there is a lack of effective diagnostic or therapeutic strategies available...

An interpretable machine learning model predicts the interactive and cumulative risks of different environmental chemical exposures on depression.

Translational psychiatry
Humans are exposed to a multitude of environmental chemical mixtures (ECMs) in daily life that may influence depression risk. While prior studies have shown individual ECM exposures to depression, the cumulative and interactive effects of multiple co...

DEHP promotes psoriasis via immune modulation and direct molecular interactions: Evidence from epidemiology, multi-omics, and structural simulation.

The Science of the total environment
Di (2-ethylhexyl) phthalate (DEHP), a widely used plasticizer with known immunotoxic effects, has been suspected of aggravating inflammatory skin conditions, yet its role in autoimmune diseases such as psoriasis remains poorly defined. In this study,...

Integrating artificial intelligence with microbial biotechnology for sustainable environmental remediation.

Environmental monitoring and assessment
This narrative review examines the significant advances of artificial intelligence (AI) in enhancing the identification and microbial degradation of environmentally persistent compounds, addressing major issues in pollution monitoring and management....