We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
MPsizeBase: a database for particle size distributed environmental microplastic data
AI summary Read the abstract
MPSizeBase is a publicly accessible database compiling microplastic particle size distribution and concentration data from published studies, standardised to a common 1–5000 µm range using power-law fitting to enable direct comparison across studies that used different measurement approaches. This kind of harmonised data resource is important for meta-analyses and for converting microplastic measurements into consistent units that can feed into risk assessments and regulatory frameworks.
MPSizeBase compiles published MP particle size distribution (PSD) and MP concentration data. Its purpose is to allow intercomparison of MP number and mass concentrations over a standardized range, typically the formal 1-5000um range. To do so, the published PSD is transformed into a cumulative PSD, fitted with the power law, and then extrapolated. Users can add published MP datasets here: https://www.get.omp.eu/mpsizebase/
More Papers Like This
MPsizeBase: a database for particle size distributed environmental microplastic data
AI summary Read the abstract
MPsizeBase is a new open database aggregating environmental microplastic measurements with particle size distribution data, enabling standardized comparisons across studies that previously used incompatible size ranges and analytical methods.
Using the power law size distribution to extrapolate and compare microplastic number and mass concentrations in environmental media
AI summary Read the abstract
Researchers developed a method using power law particle size distributions to extrapolate and compare microplastic concentrations across studies that sample different size ranges. They found that fragment size distributions are steeper than fiber distributions, reflecting different fragmentation processes, and that apparent discrepancies between surface ocean and deep water concentrations largely disappear when size ranges are aligned. The approach offers a standardized framework for comparing microplastic data across environmental studies.
Analysis of the literature shows a remarkably consistent relationship between size and abundance of microplastics across different environmental matrices
AI summary Read the abstract
Researchers developed a mathematical approach to compare microplastic abundance data across studies despite widely differing size detection limits and classification methods used in the literature. By reanalyzing 127 publications across various environmental matrices, they found a remarkably consistent relationship between particle size and abundance. The study demonstrates that smaller microplastics are consistently more numerous, following a predictable pattern that can help standardize future pollution assessments.
research data
AI summary Read the abstract
Researchers compiled a complete microplastic particle dataset from multiple detection studies, providing a comprehensive data resource documenting MP characteristics including size, shape, colour, and polymer type across sampled environmental matrices to support meta-analyses and model development.
Quantification of microplastics: Which parameters are essential for a reliable inter-study comparison?
AI summary Read the abstract
Inconsistent measurement methods make it very difficult to compare microplastic data across studies. This paper proposes standardized guidelines for quantifying microplastic size and shape distributions, which would allow scientists to better track pollution levels over time and across locations.
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.