AIMC Topic: Microplastics
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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...
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...
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 ...
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...
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...
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...
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...
Machine learning-integrated droplet microfluidic system for accurate quantification and classification of microplastics.
Water research
Jan 17, 2025
Microplastic (MP) pollution poses serious environmental and public health concerns, requiring efficient detection methods. Conventional techniques have the limitations of labor-intensive workflows and complex instrumentation, hindering rapid on-site ...
Interpretable machine learning reveals transport of aged microplastics in porous media: Multiple factors co-effect.
Water research
Jan 12, 2025
Microplastics (MPs) easily migrate into deeper soil layers, posing potential risks to subterranean habitats and groundwater. However, the mechanisms governing the vertical migration of MPs in soil, particularly aged MPs, remain unclear. In this study...
Advancements and challenges in microplastic detection and risk assessment: Integrating AI and standardized methods.
Marine pollution bulletin
Jan 4, 2025
Microplastics (MPs) pose significant threats to ecosystems and human health due to their persistence and widespread distribution. This paper provides a comprehensive review of sampling methods for MPs in aquatic environments, soils, and biological sa...
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