AIMC Topic: Microplastics

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Spatial Risks of Microplastics in Soils and the Cascading Effects Thereof.

Environmental science & technology May 21, 2025
Microplastic (MP) pollution has become a significant global concern in soil systems. The spatial risk of MPs in soils, the cascading effects of climate, human activities, and air quality, and the ecosystem gradients from natural habitats, agricultura...
Ecosystem China Humans Soil Soil Pollutants Microplastics Agriculture Environmental Monitoring
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Decoding the Plastic Patch: Exploring the Global Microplastic Distribution in the Surface Layers of Marine Regions with Interpretable Machine Learning.

Environmental science & technology Apr 14, 2025
The marine environment is grappling with microplastic (MP) pollution, necessitating an understanding of its distribution patterns, influencing factors, and potential ecological risks. However, the vast area of the ocean and budgetary constraints make...
Machine Learning Environmental Monitoring Microplastics Water Pollutants, Chemical Plastics
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Cell Response to Nanoplastics and Their Carrier Effects Tracked Real-Timely with Machine Learning-Driven Smart Surface-Enhanced Raman Spectroscopy Slides.

Analytical chemistry Apr 4, 2025
Research on nanoplastic (NP) toxicity and their "carrier effects" on human health remains nascent, especially for real-time, in situ monitoring of metabolic reactions in live cells. Herein, we developed smart surface-enhanced Raman spectroscopy (SERS...
Humans Spectrum Analysis, Raman Microplastics Cell Line Polystyrenes Machine Learning Nanoparticles Surface Properties Cell Cycle
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Automatic pre-screening of outdoor airborne microplastics in micrographs using deep learning.

Environmental pollution (Barking, Essex : 1987) Mar 14, 2025
Airborne microplastics (AMPs) are prevalent in both indoor and outdoor environments, posing potential health risks to humans. Automating the process of identifying potential particles in micrographs can significantly enhance the research and monitori...
Air Pollutants Microplastics Neural Networks, Computer Deep Learning Environmental Monitoring
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Machine learning-based analysis of microplastic-induced changes in anaerobic digestion parameters influencing methane yield.

Journal of environmental management Feb 23, 2025
Microplastics (MPs) present significant challenges for anaerobic digestion (AD) processes used in energy recovery from contaminated organic waste. Given that optimal AD conditions vary widely across studies when MPs are present, a robust predictive m...
Microplastics Machine Learning Anaerobiosis Methane
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Using artificial intelligence tools for data quality evaluation in the context of microplastic human health risk assessments.

Environment international Feb 17, 2025
Concerns about the negative impacts of microplastics on human health are increasing in society, while exposure and risk assessments require high-quality, reliable data. Although quality assurance and -control (QA/QC) frameworks exist to evaluate the ...
Artificial Intelligence Risk Assessment Humans Microplastics Environmental Monitoring Data Accuracy Water Pollutants, Chemical
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Deep learning-driven behavioral analysis reveals adaptive responses in Drosophila offspring after long-term parental microplastic exposure.

Journal of environmental management Feb 15, 2025
Microplastics are widely distributed in the environment and pose potential hazards to organisms. However, our understanding of the transgenerational effects of microplastics on terrestrial organisms remains limited. In this study, we focused on the m...
Drosophila melanogaster Microplastics Behavior, Animal Deep Learning Larva Animals
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Exploring the response of bacterial community functions to microplastic features in lake ecosystems through interpretable machine learning.

Environmental research Feb 10, 2025
Microplastics (MPs) are ubiquitous and have various characteristics. However, their impacts on bacterial community functions in lakes remain elusive. In this study, we identified 33 different MPs features including their abundance, shape, color, size...
Bacteria Microplastics Water Pollutants, Chemical Environmental Monitoring Machine Learning Microbiota Lakes Ecosystem China
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Integration of machine learning and meta-analysis reveals the behaviors and mechanisms of antibiotic adsorption on microplastics.

Journal of hazardous materials Feb 7, 2025
Microplastics (MPs) can adsorb antibiotics (ATs) to cause combined pollution in the environment. Research on this topic has been limited to specific types of MPs and ATs, resulting in inconsistent findings, particularly for the influencing factors an...
Adsorption Anti-Bacterial Agents Microplastics Water Pollutants, Chemical Machine Learning Hydrogen Bonding
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An introduction to machine learning tools for the analysis of microplastics in complex matrices.

Environmental science. Processes & impacts Jan 22, 2025
As microplastic (MP) particles continue to spread globally, their pervasive presence is increasingly problematic. Analyzing MPs in matrices as varied as soil, river water, and biosolid fertilizers is critical, as these matrices directly impact the fo...
Microplastics Environmental Monitoring Water Pollutants, Chemical Machine Learning
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