AIMC Topic: Microplastics

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What Drives Microplastic Exposure in Human Blood and Feces? Machine Learning Reveals Potential Key Influencing Factors.

Environmental science & technology
Microplastics are pervasive environmental pollutants, making human exposure unavoidable. Although previous studies have detected microplastics in human blood and feces, these investigations were limited by small sample sizes and key contributors to m...

The micro- and nanoplastics exposome feedback loop drives synergistic air-lung toxicity.

The Science of the total environment
Airborne micro- and nanoplastics (MNPs) are now recognized as persistent components of the atmospheric exposome. While their presence is established, their toxicological role remains incompletely understood. In this perspective, we propose the MNP Ex...

Advances in microplastic mitigation: current progress and future directions.

Archives of microbiology
Microplastics transport toxins, disrupt microbial and nutrient cycles, bioaccumulate to cause oxidative stress and endocrine disruption, jeopardizing ecosystems and human health. Despite understanding microplastic origins, distribution, and microbial...

Deep learning-driven investigation of nanoplastic impacts on soil protist behavior in soil chips.

Environmental pollution (Barking, Essex : 1987)
Nanoplastics are emerging environmental contaminants that increasingly threaten soil ecosystems, yet their effects on microbial behavior remain poorly understood. This is mainly due to the lack of experimental tools capable of directly observing micr...

Bacterial cellulose for emerging contaminants: A review of applications for PFAS, nanoplastics, and endocrine disruptors in water treatment.

The Science of the total environment
Emerging contaminants, including per- and polyfluoroalkyl substances (PFAS), nanoplastics, and endocrine-disrupting chemicals (EDCs), pose significant threats to water quality due to their persistence, toxicity, and resistance to conventional treatme...

Global Meta-Analysis Integrated with Machine Learning Assesses Context-Dependent Microplastic Effects on Soil Microbial Biomass Carbon and Nitrogen.

Environmental science & technology
Microplastics (MPs) in soil can paradoxically stimulate microbial biomass in a highly context-dependent manner, potentially inducing decomposition and affecting carbon and nitrogen cycles. We conducted a global meta-analysis with 90 studies (710 obse...

Identification and velocity measurement of microplastics based on machine learning.

Water research
The settling velocity of microplastics (MPs) is a critical parameter for understanding their migration and behavior in aquatic environments. Conventional methods typically focus on tracking individual MPs and often face significant challenges in capt...

Detection of Unlabeled Polystyrene Micro- and Nanoplastics in Mammalian Tissue by Optical Photothermal Infrared Spectroscopy.

Analytical chemistry
In this study, we investigate the efficacy of optical photothermal infrared (O-PTIR) spectroscopy, also known as mid-infrared photothermal (MIP) microscopy, for label-free and nondestructive detection of micro- and nanoplastics (MNPs) down to diamete...

Data-driven machine learning modeling reveals the impact of micro/nanoplastics on microalgae and their key underlying mechanisms.

Journal of hazardous materials
Micro- and nano-plastics (MNPs) pose a growing threat to freshwater microalgae, leading to water quality and biodiversity. Traditional experiments often encounter difficulties in terms of cost, time, and capturing complex interactions when exploring ...

Transfer learning enables robust prediction of cellular toxicity from environmental micro- and nanoplastics.

Journal of hazardous materials
Micro- and nanoplastics (MNPs) are emerging pollutants that accumulate in ecosystems, food chains, and the human body, raising concerns about human health risks. However, understanding their toxicity remains challenging due to limited experimental da...