AIMC Topic: Plastics
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Automatic detection of seafloor marine litter using towed camera images and deep learning.
Marine pollution bulletin
Jan 20, 2021
Aerial and underwater imaging is being widely used for monitoring litter objects found at the sea surface, beaches and seafloor. However, litter monitoring requires a considerable amount of human effort, indicating the need for automatic and cost-eff...
Plastic additives and personal care products in south China house dust and exposure in child-mother pairs.
Environmental pollution (Barking, Essex : 1987)
Dec 18, 2020
Indoor environment constitutes an important source of industrial additive chemicals to human exposure. We hypothesized that the influence of residential environment on human exposure varies among different types of additive chemicals and differs betw...
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...
An intelligent way for discerning plastics at the shorelines and the seas.
Environmental science and pollution research international
Jul 25, 2020
Irrespective of how plastics litter the coastline or enter the sea, they pose a major threat to birds and marine life alike. In this study, an artificial intelligence tool was used to create an image classifier based on a convolutional neural network...
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 ...
A machine learning algorithm for high throughput identification of FTIR spectra: Application on microplastics collected in the Mediterranean Sea.
Chemosphere
Jun 6, 2019
The development of methods to automatically determine the chemical nature of microplastics by FTIR-ATR spectra is an important challenge. A machine learning method, named k-nearest neighbors classification, has been applied on spectra of microplastic...
Identifying floating plastic marine debris using a deep learning approach.
Environmental science and pollution research international
Apr 18, 2019
Estimating the volume of macro-plastics which dot the world's oceans is one of the most pressing environmental concerns of our time. Prevailing methods for determining the amount of floating plastic debris, usually conducted manually, are time demand...
Marine litter accumulation along the Bulgarian Black Sea coast: Categories and predominance.
Waste management (New York, N.Y.)
Dec 3, 2018
Quantitative assessment of marine litter (ML) along the Bulgarian Black Sea coastline was presented. ML surveys were conducted every season in a total of 8 beach monitoring sites during 2015-2016. Eight main categories of material were determined, ba...
Microplastics do not increase toxicity of a hydrophobic organic chemical to marine plankton.
Marine pollution bulletin
Nov 17, 2018
Planktonic sea-urchin larvae actively ingest polyethylene microplastics (MP) that accumulate in the larval stomach and can be distinguished from natural food using polarized light microscopy. MP filtering rates were similar to those of natural partic...
Use of a convolutional neural network for the classification of microbeads in urban wastewater.
Chemosphere
Oct 18, 2018
Scientists are on the lookout for a practical model that can serve as a standard for sorting out, identifying, and characterizing microplastics which are common occurrences in water sources and wastewaters. The microbeads (MBs) used in cosmetics and ...
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