0
Article Tier 2 Food & Water Sign in to save

Optimized and Validated Settling Velocity Measurement for Small Microplastic Particles (10–400 μm)

ACS ES&T Water 2023 8 citations

AI summary Read the abstract

This study developed and validated a precise laboratory method for measuring how fast small microplastic particles (10–400 µm) sink in water — a key parameter for predicting where microplastics accumulate in aquatic environments. The setup uses a temperature-controlled settling column with optical particle tracking and achieves high accuracy across a range of particle sizes and densities. Accurate settling velocity data for small microplastics is essential for modeling their transport and fate in rivers, lakes, and oceans, which informs risk assessments for aquatic organisms that live at different depths.

The settling velocity of nonbuoyant microplastics is one of the key parameters to describe their vertical transport in water, yet it has rarely been studied for small microplastics (<500 μm) thus far. Respective measurements are challenging as they are prone to disruptive factors such as thermal convection. With decreasing size, it also becomes more difficult to handle target particles separately. Instead, it is favorable to work with suspensions─especially when characterizing particle populations based on sufficient individual measurements. This study establishes and validates a suitable measuring setup, which mainly consists of a precisely tempered settling column that is monitored via optical imaging with subsequent particle tracking. Comprehensive validation experiments with different spherical particles covering the desired size (10–388 μm) and density range (1.05–2.46 g/cm3) verify exceptionally high measurement accuracy and precision. Different investigation schemes were proposed and successfully tested for polydisperse and monodisperse particle samples, respectively. At elevated particle doses, measured settling velocities increased due to swarm effects and interactions between particles. A novel empirical model was fitted to represent those effects. The model can aid in limiting the particle dosage and thus prevent overestimations of single particle velocities.

More Papers Like This

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

Settling velocities of microplastics and tire and road wear particles

AI summary Read the abstract

Researchers developed a high-precision optical imaging method to measure how fast small microplastics (10–400 micrometers) and tire-and-road wear particles sink through water, filling a critical data gap needed to predict where these pollutants accumulate in aquatic environments.

Article Tier 2

Experimenting on Settling Velocities of Negatively Buoyant Microplastics

AI summary Read the abstract

Researchers experimentally measured the settling velocities of negatively buoyant microplastics in water, filling a critical gap in understanding how dense plastic particles sink and distribute through the water column — essential for modeling where microplastics accumulate in marine and freshwater environments.

Article Tier 2

Particle tracking algorithm and additional data for "Optimized and Validated Settling Velocity Measurement for Small Microplastic Particles (10–400 µm)"

AI summary Read the abstract

This dataset and code repository accompanies a study on measuring the settling velocity of small microplastic particles (10–400 µm) in water. The materials include image processing routines and particle tracking algorithms designed to improve measurement accuracy for tiny plastic fragments. Accurate settling data helps predict how microplastics distribute in water bodies.

Article Tier 2

Experimental Investigation of Settling Velocity of Spherical Microplastic Particles

AI summary Read the abstract

This experimental study measured the settling velocities of spherical microplastic particles in water, finding that the behavior of microplastics deviates from predictions based on natural sediment particles due to their lower density and shape. Accurate settling velocity data is essential for modeling how microplastics distribute through water columns and where they accumulate in aquatic environments.

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