AIMC Topic: Plastics
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Unveiling Hidden Health Risks: Machine Learning Enhanced Modeling of Plastic Additive Release Kinetics in Fresh Produce Packaging.
Environmental science & technology
Jun 10, 2025
Fresh produce packaging (FPP) plays a critical role in protecting fruits and vegetables from various environmental factors. However, the presence, migration, and human health risks of additives in FPP have received limited attention. This study inves...
Emerging technologies for assessing the occurrence, fate, effects, and remediation of plastics in the environment.
Environmental monitoring and assessment
May 30, 2025
Plastic pollution and contamination originates from raw material handling, polymerization, compounding, and fabrication, contributing to environmental accumulation. Advanced analytical techniques such as Fourier transform infrared, Raman spectroscopy...
Plastics detection and sorting using hyperspectral sensing and machine learning algorithms.
Waste management (New York, N.Y.)
May 1, 2025
Plastic waste second life management requires effective detection (and sorting if necessary) techniques to tackle the environmental challenge it poses. This research explores the application of hyperspectral imaging in the spectral range 900-1700 nm ...
Zero-shot and few-shot multimodal plastic waste classification with vision-language models.
Waste management (New York, N.Y.)
Apr 23, 2025
The construction sector is a large consumer of plastic, generating substantial volumes of plastic waste. Effective recycling of this waste requires accurate classification, as different plastic materials undergo distinct recycling processes to retain...
Efficient and anti-interference plastic classification method suitable for one-shot learning based on laser induced breakdown spectroscopy.
Chemosphere
Apr 15, 2025
Efficient recycling of plastics is critical for environmental sustainability. In this work, an efficient and anti-interference method for plastic classification based on one-shot learning and laser-induced breakdown spectroscopy (LIBS) was proposed. ...
Decoding the Plastic Patch: Exploring the Global Microplastic Distribution in the Surface Layers of Marine Regions with Interpretable Machine Learning.
Environmental science & technology
Apr 14, 2025
The marine environment is grappling with microplastic (MP) pollution, necessitating an understanding of its distribution patterns, influencing factors, and potential ecological risks. However, the vast area of the ocean and budgetary constraints make...
Machine learning-assisted prediction of gas production during co-pyrolysis of biomass and waste plastics.
Waste management (New York, N.Y.)
Mar 18, 2025
A general method for predicting gas yield is crucial in biomass and plastics co-pyrolysis. This study employed two machine learning methods to forecast gas yield in co-pyrolysis. Comparing the predictive performance of Support Vector Regression (SVR)...
Identifying plastic materials in post-consumer food containers and packaging waste using terahertz spectroscopy and machine learning.
Waste management (New York, N.Y.)
Feb 18, 2025
Accurate identification of plastic materials from post-consumer food container and packaging waste is crucial for enhancing the purity and added value of recycled materials, thereby promoting recycling and addressing the issue of plastic pollution. H...
A three-dimensional marine plastic litter real-time detection embedded system based on deep learning.
Marine pollution bulletin
Jan 30, 2025
Marine plastic pollution has emerged as a significant ecological and biological issue impacting global marine ecosystems. To develop real-time cleaning systems for marine plastic litter, we implemented a three-dimensional marine plastic litter real-t...
Raman spectroscopy integrated with machine learning techniques to improve industrial sorting of Waste Electric and Electronic Equipment (WEEE) plastics.
Journal of environmental management
Jan 3, 2025
Current industrial separation and sorting technologies struggle to efficiently identify and classify a large part of Waste of Electric and Electronic Equipment (WEEE) plastics due to their high content of certain additives. In this study, Raman spect...
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