AIMC Topic: Fluorocarbons

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Comparative immobilization of 30 PFAS mixtures onto biochar, clay, nanoparticle, and polymer derived engineered adsorbents: Machine learning insights into carbon chain length and removal mechanism.

Journal of hazardous materials Feb 25, 2025
Per- and polyfluoroalkyl substances (PFAS) are a group of fluorinated chemicals that cause potential risk in PFAS-impacted soil and water. The adsorption efficiency of 30 PFAS mixtures using different adsorbents in environmentally relevant concentrat...
Nanoparticles Water Pollutants, Chemical Machine Learning Polymers Fluorocarbons Clay Adsorption Charcoal
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Screening of estrogen receptor activity of per- and polyfluoroalkyl substances based on deep learning and in vivo assessment.

Environmental pollution (Barking, Essex : 1987) Feb 11, 2025
Over the past decades, exposure to per- and polyfluoroalkyl substances (PFAS), a group of synthetic chemicals notorious for their environmental persistence, has been shown to pose increased health risks. Despite that some PFAS were reported to have e...
Humans Animals Deep Learning Receptors, Estrogen Estrogen Receptor alpha Fluorocarbons Endocrine Disruptors Environmental Pollutants Zebrafish
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Data-Driven Insights into Resin Screening for Targeted Per- and Polyfluoroalkyl Substances Removal Using Machine Learning.

Environmental science & technology Feb 11, 2025
In this study, we address the challenge of screening resins and optimizing operation conditions for the removal of 43 perfluoroalkyl and polyfluoroalkyl substances (PFASs), spanning both long- and short-chain fluorocarbon variants, across diverse wat...
Fluorocarbons Water Purification Water Pollutants, Chemical Machine Learning
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Ecological risks of PFAS in China's surface water: A machine learning approach.

Environment international Jan 16, 2025
The persistence of per- and polyfluoroalkyl substances (PFAS) in surface water can pose risks to ecosystems, while due to data limitations, the occurrence, risks, and future trends of PFAS at large scales remain unknown. This study investigated the e...
China Environmental Monitoring Ecosystem Risk Assessment Machine Learning Water Pollutants, Chemical Fluorocarbons
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Perfluorooctanoic Acids (PFOA) removal using electrochemical oxidation: A machine learning approach.

Journal of environmental management Oct 11, 2024
The urgent need to eliminate Perfluorooctanoic Acid (PFOA) has positioned electrooxidation (EO) as a key solution for pollutant degradation. This study evaluates several machine learning (ML) models, including K-Nearest Neighbors (KNN), Decision Tree...
Oxidation-Reduction Caprylates Fluorocarbons Machine Learning Water Pollutants, Chemical
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Molecular designing of potential environmentally friendly PFAS based on deep learning and generative models.

The Science of the total environment Sep 6, 2024
Perfluoroalkyl and polyfluoroalkyl substances (PFAS) are widely used across a spectrum of industrial and consumer goods. Nonetheless, their persistent nature and tendency to accumulate in biological systems pose substantial environmental and health t...
Environmental Pollutants Fluorocarbons Neural Networks, Computer Deep Learning
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Using machine learning to classify the immunosuppressive activity of per- and polyfluoroalkyl substances.

Toxicology mechanisms and methods Aug 5, 2024
Per- and polyfluoroalkyl substances (PFASs), one of the persistent organic pollutants, have immunosuppressive effects. The evaluation of this effect has been the focus of regulatory toxicology. In this investigation, 146 PFASs (immunosuppressive or n...
Humans Environmental Pollutants Fluorocarbons Risk Assessment Immunosuppressive Agents Quantitative Structure-Activity Relationship Machine Learning Animals
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Prediction of PFAS bioaccumulation in different plant tissues with machine learning models based on molecular fingerprints.

The Science of the total environment Jul 28, 2024
Due to the wastewater irrigation or biosolid application, per- and polyfluoroalkyl substances (PFASs) have been widely detected in agriculture soil and hence crops or vegetables. Consumption of contaminated crops and vegetables is considered as an im...
Soil Pollutants Fluorocarbons Bioaccumulation Environmental Monitoring Plant Roots Machine Learning
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Advancing toxicity studies of per- and poly-fluoroalkyl substances (pfass) through machine learning: Models, mechanisms, and future directions.

The Science of the total environment Jun 25, 2024
Perfluorinated and perfluoroalkyl substances (PFASs), encompassing a vast array of isomeric chemicals, are recognized as typical emerging contaminants with direct or potential impacts on human health and the ecological environment. With the complex a...
Quantitative Structure-Activity Relationship Environmental Pollutants Humans Toxicity Tests Ecotoxicology Fluorocarbons Machine Learning
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Machine learning predicts the serum PFOA and PFOS levels in pregnant women: Enhancement of fatty acid status on model performance.

Environment international Jun 19, 2024
Human exposure to per- and polyfluoroalkyl substances (PFASs) has received considerable attention, particularly in pregnant women because of their dramatic changes in physiological status and dietary patterns. Predicting internal PFAS exposure in pre...
Fluorocarbons Female Young Adult Machine Learning Pregnancy Fatty Acids Alkanesulfonic Acids Humans Adult Caprylates Environmental Pollutants
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