We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Finns det mikroplaster i Lunds dagvatten och fungerar densitetseparation som analysmetod
AI summary Read the abstract
This Swedish study investigated microplastic concentrations in stormwater in Lund and evaluated whether density separation is a viable analytical method for extracting microplastics from stormwater samples. The work addresses the lack of standardized methods for stormwater microplastic analysis and the need for better understanding of stormwater as a microplastic transport pathway.
Microplastics are being found in large amounts in the environment. In samples from Sweden’s west coast 4000-100000 particles of microplastic/kilogram of dry samplewas found. One of the larger pathways into theenvironment for microplastic is believed to be stormwater. Yet there is no standard method to analyse this pollution. This study was made to get an understanding of the amount of microplastic released from two stormwater outlets in Lund and to test density separation as a purification method, a common method used to analyse the samples for microplastic. The sediment by the stormwater outlet where also tested for microplastic. Particles of microplastic were found in the stormwater with a total mean value of 33,7/L and 31,3/L for the different outlets.In the sediment samples the amount of microplastic particles was 8/L and 2/L. The method of using density separation worked well with the water samples however only the inorganic particles were able to be separated whilst for the organic particles it was not possible to use this method. Density separation was not as successful for the sediment samples since not enough of the organic particles were able to be removed to properly quantify the amount of microplastic in the sediment. Microplastic was found in the stormwater that was tested and the method of density separation worked to some extent for the analysis. A more thorough analysis of the stormwater should be performed for more certain values of microplastic concentrations in the stormwater.
More Papers Like This
Microplastics in Urban Stormwater: Sampling and Separation Method
AI summary Read the abstract
Researchers developed and tested sampling and separation methods for detecting microplastics in urban stormwater runoff, an important but understudied pathway for plastic contamination of surface waters. The study helps establish standardized protocols for monitoring microplastics in stormwater systems.
Temporal and spatial variations of microplastic concentrations in surface waters in Gothenburg, Sweden.
AI summary Read the abstract
Microplastic concentrations were measured across Gothenburg's urban surface waters over multiple seasons in 2017, characterizing spatial and temporal variation in plastic particles, fibers, and other anthropogenic particles. The study contributes to monitoring urban microplastic pollution in Scandinavian surface waters and identifies stormwater as a key pathway.
Not all microplastics are created equal. Quantifying efficacy bias and validation of density separation methods
AI summary Read the abstract
Researchers systematically evaluated density separation methods used to extract microplastics from environmental matrices (water, soil, sediment), investigating whether efficacy varies by polymer density and identifying potential sources of bias in current approaches. The study highlighted risks from lack of methodological standardisation and called for detailed reporting to improve reproducibility across microplastics research.
Microplastics in stormwater runoff: case study Vitsippsbäcken
AI summary Read the abstract
This Swedish thesis quantified microplastic concentrations in stormwater runoff from a small urban catchment, finding that stormwater is a significant pathway for delivering microplastics to freshwater systems. Urban stormwater runoff is increasingly recognized as a major and underregulated source of microplastic pollution.
Not all microplastics are created equal. Quantifying efficacy bias and validation of density separation methods
AI summary Read the abstract
Researchers evaluated and validated density separation methods for extracting microplastics from environmental matrices, quantifying efficacy bias across different polymer types with varying densities. They found that recovery rates differ substantially depending on polymer density relative to the separation solution, introducing systematic bias in microplastic concentration estimates across studies.
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.