Tag Archives: Albert A. Koelmans

Theoretical tool for understanding the fate of nano- and microplastic in rivers

An Oct. 17, 2016 news item on Nanowerk announced work being accomplished at Wageningen University (Netherlands),

Very tiny plastic particles of micro and nano size are difficult to measure in the environment to assess exposure risks. Researchers of Wageningen University & Research now provide the first mechanistic modelling study on the behaviour and fate of nano- and microplastic in surface waters.

Plastic debris has been detected in the oceans, in soils, sediments and surface waters worldwide. Emissions are expected to increase by an order of magnitude in the coming years. Fragmentation leads to smaller and smaller particles, eventually reaching the submicron scale. At these very small sizes, plastic particles may pose unforeseen risks. Yet they are hard to measure in the environment so that exposure assessments have to rely on modelling.

Wageningen researcher Ellen Besseling: “We already knew that microplastics are transported in rivers and can reach the sediment, potentially affecting aquatic life. Now we have a theoretical tool that helps us to understand why/how this happens and that helps us to explain what we see. This is important in order to design mitigation strategies for plastic debris of all sizes, and to predict emissions of plastics to our oceans.”

An Oct. 17, 2016 Wageningen University & Research press release, which originated the news item, provides more detail,

In their recent pioneering study published in the journal Environmental Pollution, Ellen Besseling and co-workers simulate the concentrations of plastic particles between 100 nm up to 10 mm for the hydrological flow regime of a real river. The model accounted for direct transport of the particles, but also for aggregation of the particles with natural suspended solids, and the transport and settling of the resulting so-called heteroaggregates. The model also accounted for the presence of biofilm on the plastics, and model scenarios were calculated for plastics of different density. “This provides very insightful results on where in the river bed the ‘hot spot’ locations for presence of nano- and microplastic can be expected,” says project leader Prof Bart Koelmans. No earlier models accounted for all of these processes, and some counterintuitive results were obtained. Settling to the sediment for instance, was important for nano- and microplastics smaller than one micrometer due to settling of aggregates, and for plastic particles bigger than fifty micrometer due to direct settling, but much less for sizes in between. This means that these particles are expected to be exported to sea to a larger extent.

Attachment efficiency
A key parameter in the model is the attachment efficiency, which is the chance that a colliding plastic and natural solid particle actually stick together. Because this parameter was not known, literature values were used taking non-polymer nanoparticles as a proxy for microplastic. These values, however, were used in combination with – also for the first time – new measured values for actual nano- and microplastics. These experimental data for aggregation of nano- and microplastic with suspended particles in natural freshwater appeared to fairly agree to the literature data. Whereas these first results are promising, the research team emphasizes that more research is needed to study the aggregation behaviour of nano- an microplastic in fresh and marine waters.

Risk assessment of plastic debris
The problem of plastic debris is high on the agenda of policymakers and the public, and society calls for an assessment of the risks of plastic debris to man and the environment. A risk assessment for nano- and microplastic requires an assessment of exposure, and of the effects caused by plastics, which then can be compared in a characterisation of actual risks for man and the environment. As long as analytical methods to detect plastic particles are still under construction, models provide invaluable tools to assess exposure to plastic of all sizes. Models can also be used to design monitoring networks and optimize sampling strategies by indicating ‘hot spot’ locations based on first principles. At Wageningen University & Research, several projects aim to develop tools for the risk assessment of plastic debris in marine as well as freshwaters, for instance the new STW-project TRAMP.

Here’s a link to and a citation for the paper,

Fate of nano- and microplastic in freshwater systems: A modeling study by Ellen Besseling, Joris T.K. Quik, Muzhi Sun, Albert A. Koelmans. Environmental Pollution http://dx.doi.org/10.1016/j.envpol.2016.10.001 Available online 13 October 2016

This paper is behind a paywall.

Computer modeling of engineered nanoparticles in surface water, the NanoDUFLOW model

A June 4, 2015 news item on phys.org features research that could be very helpful in understanding the impact that engineered nanoparticles (ENP) have on the water in our environment,

Researchers of Wageningen University (Netherlands) provide the world’s first spatiotemporally explicit model that simulates the behaviour and fate of engineered nanoparticles (ENPs) in surface waters. Wageningen researcher Bart Koelmans: “This is important in order to assure safe nanotechnology. We do need to have an assessment of the risks of ENPs to man and the environment.”

Nanotechnology is developing fast, with the fast growing emission of less than 100 nm engineered nanoparticles as a consequence. ENPs are hard to measure in the environment so that exposure assessments have to rely on modelling. Previous models could only predict average background concentrations on a continental or national scale.

A June 3, 2015 Wageningen University press release, which originated the news item, describes the computer model,

The new NanoDUFLOW model however, developed by Joris Quik, Jeroen de Klein and Bart Koelmans and recently described in Water Research magazine, is capable of simulating the concentrations of ENPs, and their homo- and heteroaggregates in space and time, for any hydrological flow regime of a river. Under the hood of NanoDUFLOW is an ‘engine’ that calculates all relevant interactions among 35 types of particles including the ENPs, and that decides upon aggregation, settling or prolonged flow in the river. The rate of these interactions depends on the flow conditions in the river, which are calculated in the hydrology module of NanoDUFLOW. This module can be set to match the channel structure of any catchment as defined by the user, allowing for a great flexibility.

Development of the model

Development of the model took a long and winding road. ENPs are emerging chemicals with unique properties, which implies that some new process descriptions needed to be developed. One of the main parameters in this new type of models is the attachment efficiency. The attachment efficiency is the chance that two particles stay together when they collide, a chance that depends on the nature of the colliding particles and the chemistry of the water. A smart calculation method needed to be developed that enabled the estimation of the attachment efficiency from laboratory experiments with ENPs and natural particles and waters collected in the field.

Using NanoDUFLOW for the risk assessment of nanomaterials

In order to assure safe nanotechnology, society calls for an assessment of the risks of ENPs to man and the environment. A risk assessment for ENPs requires an assessment of ENP exposure, and of the effects caused by ENPs, which then can be compared in a risk characterisation. Whereas previous screening-level models still may be first choice for lower tiers in the risk assessment, NanoDUFLOW is believed to be useful for higher tiers of the risk assessment, where site specific risks need to be addressed. Simulations with NanoDUFLOW showed the occurrence of clear ENP contamination ‘hot spots’ in the water column and in sediments. Furthermore, NanoDUFLOW was capable of simulating the speciation of ENPs over different size fractions. This speciation defines the ecotoxicologically relevant fractions of ENPs, for a variety of species traits. Also in this respect NanoDUFLOW will add to refining the risk assessment for ENPs.

Here’s a link to and a citation for the paper,

Spatially explicit fate modelling of nanomaterials in natural waters by Joris T. K. Quika, Jeroen J.M. de Klein, & Albert A. Koelmans. Water Research Volume 80, 1 September 2015, Pages 200–208  doi:10.1016/j.watres.2015.05.025

This paper is behind a paywall.