AIMC Topic: Microplastics

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Automatic quantification and classification of microplastics in scanning electron micrographs via deep learning.

The Science of the total environment Feb 19, 2022
Microplastics quantification and classification are demanding jobs to monitor microplastic pollution and evaluate the potential health risks. In this paper, microplastics from daily supplies in diverse chemical compositions and shapes are imaged by s...
Microplastics Electrons Deep Learning Plastics Microscopy
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Deep Learning for Reconstructing Low-Quality FTIR and Raman Spectra─A Case Study in Microplastic Analyses.

Analytical chemistry Nov 22, 2021
Herein we report on a deep-learning method for the removal of instrumental noise and unwanted spectral artifacts in Fourier transform infrared (FTIR) or Raman spectra, especially in automated applications in which a large number of spectra have to be...
Deep Learning Spectroscopy, Fourier Transform Infrared Microplastics Fourier Analysis Plastics
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Occurrence and concentration of 20-100 μm sized microplastic in highway runoff and its removal in a gross pollutant trap - Bioretention and sand filter stormwater treatment train.

The Science of the total environment Oct 21, 2021
Microplastic pollution of stormwater can be a serious threat to the environment. Gross pollutant trap (GPT) - bioretention treatment trains have been shown previously to treat (inter alia) particulate stormwater pollutants including microplastic part...
Water Purification Plastics Water Supply Environmental Pollutants Rain Microplastics
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Classification and Quantification of Microplastics (<100 μm) Using a Focal Plane Array-Fourier Transform Infrared Imaging System and Machine Learning.

Analytical chemistry Sep 30, 2020
Microplastics are defined as microscopic plastic particles in the range from few micrometers and up to 5 mm. These small particles are classified as primary microplastics when they are manufactured in this size range, whereas secondary microplastics ...
Machine Learning Environmental Monitoring Polymers Microplastics Least-Squares Analysis Discriminant Analysis Spectroscopy, Fourier Transform Infrared Principal Component Analysis
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Key Physicochemical Properties Dictating Gastrointestinal Bioaccessibility of Microplastics-Associated Organic Xenobiotics: Insights from a Deep Learning Approach.

Environmental science & technology Sep 25, 2020
A potential risk from human uptake of microplastics is the release of plastics-associated xenobiotics, but the key physicochemical properties of microplastics controlling this process are elusive. Here, we show that the gastrointestinal bioaccessibil...
Microplastics Xenobiotics Adsorption Plastics Deep Learning Water Pollutants, Chemical Humans
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Development of AOP relevant to microplastics based on toxicity mechanisms of chemical additives using ToxCast™ and deep learning models combined approach.

Environment international Feb 18, 2020
Various additives are used in plastic products to improve the properties and the durability of the plastics. Their possible elution from the plastics when plastics are fragmented into micro- and nano-size in the environment is suspected to one of the...
Water Pollutants, Chemical Environmental Pollution Microplastics Risk Assessment Deep Learning Neural Networks, Computer Animals Humans
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Microplastics but not natural particles induce multigenerational effects in Daphnia magna.

Environmental pollution (Barking, Essex : 1987) Dec 31, 2019
Several studies have investigated the effects of nano- and microplastics on daphnids as key freshwater species. However, while information is abundant on the acute toxicity of plastic beads, little is known regarding the multigenerational effects of ...
Reproduction Daphnia Water Pollutants, Chemical Fresh Water Plastics Infant, Newborn Microplastics Animals Humans Female
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Toxicity of nanoplastics: machine learning combined with meta-analysis.

Nanoscale horizons Aug 21, 2025
Nanoplastics (NPs) are widespread in ecosystems, and their biohazards are of increasing concern. The hazards posed by NPs to aquatic and terrestrial plants as well as to aquatic animals have been extensively studied; however, their impact on mammals ...
Machine Learning Female Mice Nanoparticles Microplastics Animals Male
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An efficient and precise (micro)plastic identification method: feature infrared spectra extraction based on EIS-VIP-CARS and ANN modeling.

Environmental research Aug 15, 2025
Understanding microplastics' (MPs) ecological impact necessitates their precise identification. To address the issue of the competitive adaptive reweighted sampling (CARS) algorithm extracting numerous feature wavenumber points (FWPs) that often miss...
Algorithms Neural Networks, Computer Environmental Monitoring Microplastics Spectrophotometry, Infrared
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Evaluating marine environmental pollution using Fuzzy Analytic Hierarchy Process (FAHP): A comprehensive framework for sustainable coastal and oceanic management.

Marine pollution bulletin Jul 1, 2025
Marine pollution poses a significant threat to ecosystems, biodiversity, and human health, necessitating a structured evaluation framework. This study applies the Fuzzy Analytic Hierarchy Process (FAHP) to prioritize five major marine pollution sourc...
Eutrophication Environmental Monitoring Water Pollutants, Chemical Ecosystem Oceans and Seas Petroleum Pollution Water Pollution Microplastics Fuzzy Logic Environmental Pollution
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