AIMC Topic: Plastics

Clear Filters Showing 31 to 40 of 88 articles

Innovative methods for microplastic characterization and detection: Deep learning supported by photoacoustic imaging and automated pre-processing data.

Journal of environmental management May 1, 2024
Plastic products' widespread applications and their non-biodegradable nature have resulted in the continuous accumulation of microplastic waste, emerging as a significant component of ecological environmental issues. In the field of microplastic dete...
Plastics Microplastics Photoacoustic Techniques Deep Learning Environmental Monitoring
View on PubMed DOI

The adsorption and release mechanism of different aged microplastics toward Hg(II) via batch experiment and the deep learning method.

Chemosphere Dec 30, 2023
Aged microplastics are ubiquitous in the aquatic environment, which inevitably accumulate metals, and then alter their migration. Whereas, the synergistic behavior and effect of microplastics and Hg(II) were rarely reported. In this context, the adso...
Microplastics Mercury Adsorption Plastics Deep Learning Water Pollutants, Chemical
View on PubMed DOI

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...
Brazil Plastics Microplastics Animals Humans Bivalvia Ecosystem
View on PubMed DOI

Rapid detection of colored and colorless macro- and micro-plastics in complex environment via near-infrared spectroscopy and machine learning.

Journal of environmental sciences (China) Dec 8, 2023
To better understand the migration behavior of plastic fragments in the environment, development of rapid non-destructive methods for in-situ identification and characterization of plastic fragments is necessary. However, most of the studies had focu...
Least-Squares Analysis Discriminant Analysis Environmental Monitoring Machine Learning Color Plastics Spectroscopy, Near-Infrared
View on PubMed DOI

Recent Advances and Challenges in Enzymatic Depolymerization and Recycling of PET Wastes.

Chembiochem : a European journal of chemical biology Nov 27, 2023
Poly (ethylene terephthalate) (PET) is one of the most commonly used plastics in daily life and various industries. Enzymatic depolymerization and recycling of post-consumer PET (pc-PET) provides a promising strategy for the sustainable circular econ...
Hydrolysis Protein Engineering Polyethylene Terephthalates Plastics Machine Learning Polymers
View on PubMed DOI

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...
X-Rays Polyethylene Terephthalates Microplastics Polyethylene Synchrotrons Deep Learning Seedlings Plastics Environmental Pollutants Humans Fluorescence
View on PubMed DOI

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...
Software Deep Learning Plastics Neural Networks, Computer Microplastics
View on PubMed DOI

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...
Plastics Microplastics Ecosystem Deep Learning Spectroscopy, Fourier Transform Infrared Water Pollutants, Chemical Environmental Monitoring
View on PubMed DOI

3D printed biomedical devices and their applications: A review on state-of-the-art technologies, existing challenges, and future perspectives.

Journal of the mechanical behavior of biomedical materials May 27, 2023
3D printing, also known as Additive manufacturing (AM), has emerged as a transformative technology with applications across various industries, including the medical sector. This review paper provides an overview of the current status of AM technolog...
Humans Ceramics Artificial Intelligence Printing, Three-Dimensional Plastics Prostheses and Implants
View on PubMed DOI

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....
Machine Learning Ecosystem Water Water Pollutants, Chemical Humans Oceans and Seas Water Pollution, Chemical Plastics Microplastics
View on PubMed DOI
Popular Topics
Recent Journals