Transport of reduced PBAT microplastics in saturated porous media: Synergistic effects of enhanced surface energy and roughness

Water Research, Год журнала: 2024, Номер 267, С. 122514 - 122514

Опубликована: Сен. 24, 2024

Язык: Английский

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A comprehensive review of microplastic aging: Laboratory simulations, physicochemical properties, adsorption mechanisms, and environmental impacts

The Science of The Total Environment, Год журнала: 2024, Номер 957, С. 177427 - 177427

Опубликована: Ноя. 12, 2024

Язык: Английский

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Digital Image Analysis and Multivariate Data Analysis as Tools for the Identification of Microplastics in Surface Waters: The Case of the Vistula River (Central Europe)

Опубликована: Июнь 27, 2024

The primary objective of this study was to demonstrate the potential digital image analysis as a tool identify microplastic (MP) particles in surface waters and facilitate their characterisation terms 2D 3D morphology. Digital preceded by microscopic used for an exhaustive quantitative qualitative evaluation MPs isolated from Vistula river. Using processing procedures, shape descriptors were determined. Principal Components Analysis (PCA) interpret relationships between parameters studied, characterising MP particle geometry, type colour. This multivariate data allowed 3 or 4 main factors be extracted, explaining approximately 90% variation It found that first principal component granules, flakes films largely represented strongly correlated with (area, perimeter, equivalent area diameter) (CSF, Compactness, Dimensionality). Considering scraps, PC1 only five above descriptors, Compactness variable had largest contribution PC2. In addition, films, relationship colour could observed. For most numerous group identified multicoloured no such association found. results our can further regarding presence floating on river surface, particular focus secondary origin. is key importance optimising future efforts conducting small-scale multidimensional monitoring reducing plastics aquatic environment.

Язык: Английский

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Identification Tools of Microplastics from Surface Water Integrating Digital Image Processing and Statistical Techniques

Materials, Год журнала: 2024, Номер 17(15), С. 3701 - 3701

Опубликована: Июль 26, 2024

The primary objective of this study was to demonstrate the potential digital image analysis as a tool identify microplastic (MP) particles in surface waters and facilitate their characterisation terms 2D 3D morphology. Digital preceded by microscopic used for an exhaustive quantitative qualitative evaluation MPs isolated from Vistula River. Using processing procedures, shape descriptors were determined. Principal Component Analysis interpret relationships between parameters studied, characterising MP particle geometry, type colour. This multivariate data allowed three or four main factors be extracted, explaining approximately 90% variation It found that first principal component granules, flakes films largely represented strongly correlated with (area, perimeter, equivalent area diameter) (Corey Shape Factor, Compactness, Dimensionality). Considering scraps, PC1 only five above descriptors, Compactness variable had largest contribution PC2. In addition, films, relationship colour could observed. For most numerous group identified multicoloured no such association found. results our can further regarding presence floating on river surface, particular focus secondary origin. is key importance optimising future efforts conducting small-scale multidimensional monitoring reducing plastics aquatic environment.

Язык: Английский

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Plasma-induced aging of microplastics and its effect on mercury transport and transformation

Separation and Purification Technology, Год журнала: 2024, Номер 358, С. 130211 - 130211

Опубликована: Окт. 31, 2024

Язык: Английский

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