0
Article Tier 2 Sign in to save

3D analysis of microplastic settling in algal suspensions

Environmental Pollution 2024 3 citations

AI summary Read the abstract

Using a new 3D particle-tracking method, researchers measured how quickly microplastics settle through water columns containing varying concentrations of algae (Synechococcus), finding that algal density had no measurable effect on settling speed. The 3D tracking approach was significantly more accurate than traditional 2D methods. This result matters for environmental modeling because it suggests that algal blooms — common in lakes and coastal waters — do not substantially alter how microplastics sink to the sediment.

The influence of algae presence in surface water on the settling velocities of microplastics is unknown, and determining it is challenging due to the turbidity of algal suspensions. Measuring the settling velocity of microplastics has traditionally relied on either manual measurement techniques or 2D Particle Tracking Velocimetry (PTV). This study introduces a 3D-PTV method tailored to determine the effects of algae (Synechoccocus sp.) on microplastic settling speeds in semi-large columns. We demonstrated that 3D PTV produces much more accurate results than 2D particle tracking. Testing the method in six experiments with varying algae concentrations revealed consistent results across the experiments and alignment with some theoretical approximations. The results were concurrent with calculated 2D speeds. No influence of algal density on settling velocities was found, which is highly relevant for microplastic fate modeling in eutrophic systems. We highlight the applicability and accuracy of 3D particle tracking velocimetry in further understanding microplastic settling behavior.

More Papers Like This

Article Tier 2

Adding depth to microplastics for particle characterization and assessing settling behavior

AI summary Read the abstract

This study developed methods to characterize microplastics in three dimensions rather than the conventional two-dimensional approach, obtaining volume and shape data that improves predictions of how particles settle and transport in water systems. Three-dimensional characterization significantly improved settling rate predictions compared to 2D image-based estimates.

Article Tier 2

Adding depth to microplastics for particle characterization and assessing settling behavior

AI summary Read the abstract

Researchers developed a method for 3D characterization of microplastic particles to obtain volume and shape data beyond conventional 2D image analysis, improving accuracy in predicting settling behavior and estimating particle mass. Three-dimensional characterization was shown to substantially improve estimates of microplastic transport and sedimentation in water systems.

Article Tier 2

Three-Dimensional Settling Dynamics of Environmental Microplastics

AI summary Read the abstract

Researchers measured the three-dimensional settling dynamics of environmental microplastic particles in water, including lateral drift, settling paths, and horizontal velocities—dimensions poorly understood beyond simple vertical settling rates. The findings are essential for developing accurate models of how MPs distribute across river channels and water columns.

Article Tier 2

Settling Velocities of Small Microplastic Fragments and Fibers

AI summary Read the abstract

Researchers precisely measured the settling speeds of over 4,000 small microplastic particles in water and found that existing prediction models designed for larger microplastics do not work well for these tiny fragments and fibers. The settling speed depends on each particle's size, density, and shape, with the smallest particles sinking extremely slowly. Understanding how quickly microplastics settle in water is important because it determines how far they travel and how long they remain available to be consumed by aquatic organisms that humans may eventually eat.

Article Tier 2

Biofilm growth on buoyant microplastics leads to changes in settling rates: Implications for microplastic retention in the Great Lakes

AI summary Read the abstract

Researchers measured biofilm-induced density changes and sinking rates for buoyant polyethylene microplastics in Great Lakes water, finding that biofouling caused particles to sink within days to weeks, with implications for predicting where microplastics accumulate in large lake systems.

Research digests by email

When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.

Email me about

Share this paper