Recent advances in the application of machine learning methods to improve identification of the microplastics in environment

J Lin, H Liu, J Zhang - Chemosphere, 2022 - Elsevier
Environmental pollution by microplastics (MPs) is a significant and complex global issue.
Existing MPs identification methods have demonstrated significant limitations such as low …

Machine learning: next promising trend for microplastics study

J Su, F Zhang, C Yu, Y Zhang, J Wang, C Wang… - Journal of …, 2023 - Elsevier
Microplastics (MPs), as an emerging pollutant, pose a significant threat to humans and
ecosystems. However, traditional MPs characterization methods are limited by sample …

Using artificial intelligence to support marine macrolitter research: a content analysis and an online database

DV Politikos, A Adamopoulou, G Petasis… - Ocean & Coastal …, 2023 - Elsevier
Marine scientists use a variety of collection and monitoring methods to survey macrolitter in
aquatic environments, aiming to assess the level of pollution and design mitigation actions …

A review on constructive classification framework of research trends in analytical instrumentation for secondary micro (nano) plastics: What is new and what needs …

U Piyathilake, C Lin, J Bundschuh, I Herath - Environmental Pollution, 2023 - Elsevier
Secondary micro (nano) plastics generated from the degradation of plastics pose a major
threat to environmental and human health. Amid the growing research on microplastics to …

Microplastic pollution: threats and impacts on global marine ecosystems

RS Yu, S Singh - Sustainability, 2023 - mdpi.com
This study investigates the scope of global marine microplastic pollution and its implications
on marine ecosystems and human health. We first delve into how plastic enters the ocean …

An overall perspective for the study of emerging contaminants in karst aquifers

C Campanale, D Losacco, M Triozzi, C Massarelli… - Resources, 2022 - mdpi.com
Karst aquifers are essential drinking water sources, representing about 25% of the total
available sources globally. Groundwater ecosystems consist of fissured carbonate rocks …

[HTML][HTML] Microplastic pollution assessment with digital holography and zero-shot learning

Y Zhu, HKA Lo, CH Yeung, EY Lam - APL Photonics, 2022 - pubs.aip.org
Microplastic (MP) pollution poses severe environmental problems. Developing effective
imaging tools for the identification and analysis of MPs is a critical step to curtail their …

Effects and impacts of different oxidative digestion treatments on virgin and aged microplastic particles

I Savino, C Campanale, P Trotti, C Massarelli… - Polymers, 2022 - mdpi.com
Although several sample preparation methods for analyzing microplastics (MPs) in
environmental matrices have been implemented in recent years, important uncertainties and …

Trends in the occurrence and accumulation of microplastics in urban soil of Nanjing and their policy implications

Y Zhou, T Wang, M Zou, Q Yin, Z Jia, B Su… - Science of The Total …, 2023 - Elsevier
Urban soil is an important sink of terrestrial microplastics (MPs), and understanding their
distribution over time is essential for effective pollution management. Here, based on soil MP …

[HTML][HTML] Machine learning and data augmentation methods for multispectral capacitance images of nanoparticles with nanoelectrodes array biosensors

F Lombardo, F Pittino, D Goldoni, L Selmi - Engineering Applications of …, 2024 - Elsevier
A large number of technology applications still remain where Artificial Intelligence
techniques, carefully tailored to the specific application needs, could provide performance …