AIMC Topic: Microplastics

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First Record of Microplastic Contamination in the Non-Native Dark False Mussel (Bivalvia: Dreissenidae) in a Coastal Urban Lagoon.

International journal of environmental research and public health Dec 27, 2023
Microplastic contamination is a global concern due to its conspicuous presence in aquatic ecosystems and its toxic nature to environmental and human health. False mussels are among the most notable fresh- and brackish water invaders. The invasive in...
Bivalvia Plastics Ecosystem Humans Brazil Animals Microplastics
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Screening the phytotoxicity of micro/nanoplastics through non-targeted metallomics with synchrotron radiation X-ray fluorescence and deep learning: Taking micro/nano polyethylene terephthalate as an example.

Journal of hazardous materials Oct 28, 2023
Microplastics (MPs) and nanoplastics (NPs) are global pollutants with emerging concerns. Methods to predict and screen their toxicity are crucial. Elemental dyshomeostasis can be used to assess toxicity of environmental pollutants. Non-targeted metal...
Polyethylene Terephthalates Deep Learning Synchrotrons Seedlings Polyethylene X-Rays Environmental Pollutants Microplastics Plastics Humans Fluorescence
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Automatic classification of microplastics and natural organic matter mixtures using a deep learning model.

Water research Oct 8, 2023
Several preprocessing procedures are required for the classification of microplastics (MPs) in aquatic systems using spectroscopic analysis. Procedures such as oxidation, which are employed to remove natural organic matter (NOM) from MPs, can be time...
Deep Learning Neural Networks, Computer Software Plastics Microplastics
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Leveraging deep learning for automatic recognition of microplastics (MPs) via focal plane array (FPA) micro-FT-IR imaging.

Environmental pollution (Barking, Essex : 1987) Sep 25, 2023
The fast and accurate identification of MPs in environmental samples is essential for the understanding of the fate and transport of MPs in ecosystems. The recognition of MPs in environmental samples by spectral classification using conventional libr...
Environmental Monitoring Spectroscopy, Fourier Transform Infrared Water Pollutants, Chemical Ecosystem Deep Learning Plastics Microplastics
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Prediction of microplastic abundance in surface water of the ocean and influencing factors based on ensemble learning.

Environmental pollution (Barking, Essex : 1987) May 18, 2023
Microplastics are regarded as emergent contaminants posing a serious threat to the marine ecosystem. It is time-consuming and labor-intensive to determine the number of microplastics in different seas using traditional sampling and detection methods....
Oceans and Seas Water Pollution, Chemical Plastics Microplastics Machine Learning Ecosystem Water Water Pollutants, Chemical Humans
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Spectral Classification of Large-Scale Blended (Micro)Plastics Using FT-IR Raw Spectra and Image-Based Machine Learning.

Environmental science & technology Apr 13, 2023
Microplastics (MPs) are currently recognized as emerging pollutants; their identification and classification are therefore essential during their monitoring and management. In contrast to most studies based on small datasets and library searches, thi...
Microplastics Spectroscopy, Fourier Transform Infrared Plastics Neural Networks, Computer Machine Learning
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A Critical Review on Artificial Intelligence-Based Microplastics Imaging Technology: Recent Advances, Hot-Spots and Challenges.

International journal of environmental research and public health Jan 9, 2023
Due to the rapid artificial intelligence technology progress and innovation in various fields, this research aims to use science mapping tools to comprehensively and objectively analyze recent advances, hot-spots, and challenges in artificial intelli...
Diagnostic Imaging Plastics Microplastics Artificial Intelligence Algorithms
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Deep learning based approach for automated characterization of large marine microplastic particles.

Marine environmental research Nov 18, 2022
The rapidly growing concern of marine microplastic pollution has drawn attentions globally. Microplastic particles are normally subjected to visual characterization prior to more sophisticated chemical analyses. However, the misidentification rate of...
Plastics Environmental Pollution Deep Learning Microplastics Processing Speed
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Identification of micro- and nanoplastics released from medical masks using hyperspectral imaging and deep learning.

The Analyst Oct 10, 2022
Apart from other severe consequences, the COVID-19 pandemic has inflicted a surge in personal protective equipment usage, some of which, such as medical masks, have a short effective protection time. Their misdisposition and subsequent natural degrad...
Hyperspectral Imaging Masks Plastics Humans Microplastics Pandemics COVID-19 Deep Learning
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MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams.

PloS one Jun 15, 2022
Environmental monitoring of microplastics (MP) contamination has become an area of great research interest, given potential hazards associated with human ingestion of MP. In this context, determination of MP concentration is essential. However, cheap...
Image Processing, Computer-Assisted Plastics Animals Deep Learning Bivalvia Microscopy, Fluorescence Microplastics Humans
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