Article
?
AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button.
Tier 2
?
Original research — experimental, observational, or case-control study. Direct primary evidence.
Sign in to save
Analysis of the literature shows a remarkably consistent relationship between size and abundance of microplastics across different environmental matrices
Environmental Pollution2022
48 citations
?
Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Score: 55
?
0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Hsuan-Cheng Lu
Hsuan-Cheng Lu
Hsuan-Cheng Lu
Hsuan-Cheng Lu
Hsuan-Cheng Lu
Hsuan-Cheng Lu
Frédéric D.L. Leusch,
Hsuan-Cheng Lu
Hsuan-Cheng Lu
Hsuan-Cheng Lu
Hsuan-Cheng Lu
Hsuan-Cheng Lu
Hsuan-Cheng Lu
Frédéric D.L. Leusch,
Shima Ziajahromi,
Shima Ziajahromi,
Kushani Perera,
Kushani Perera,
Kushani Perera,
Kushani Perera,
Kushani Perera,
Kushani Perera,
Shima Ziajahromi,
Peta A. Neale,
Shima Ziajahromi,
Shima Ziajahromi,
Shima Ziajahromi,
Shima Ziajahromi,
Shima Ziajahromi,
Shima Ziajahromi,
Shima Ziajahromi,
Shima Ziajahromi,
Shima Ziajahromi,
Shima Ziajahromi,
Hsuan-Cheng Lu
Shima Ziajahromi,
Peta A. Neale,
Shima Ziajahromi,
Shima Ziajahromi,
Shima Ziajahromi,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Hsuan-Cheng Lu
Hsuan-Cheng Lu
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Hsuan-Cheng Lu
Hsuan-Cheng Lu
Peta A. Neale,
Peta A. Neale,
Shima Ziajahromi,
Shima Ziajahromi,
Shima Ziajahromi,
Shima Ziajahromi,
Shima Ziajahromi,
Shima Ziajahromi,
Shima Ziajahromi,
Shima Ziajahromi,
Shima Ziajahromi,
Peta A. Neale,
Peta A. Neale,
Peta A. Neale,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Kushani Perera,
Shima Ziajahromi,
Shima Ziajahromi,
Hsuan-Cheng Lu
Peta A. Neale,
Peta A. Neale,
Shima Ziajahromi,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Shima Ziajahromi,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Peta A. Neale,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Peta A. Neale,
Peta A. Neale,
Frédéric D.L. Leusch,
Peta A. Neale,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Shima Ziajahromi,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Peta A. Neale,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Hsuan-Cheng Lu
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Shima Ziajahromi,
Shima Ziajahromi,
Peta A. Neale,
Peta A. Neale,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Frédéric D.L. Leusch,
Peta A. Neale,
Frédéric D.L. Leusch,
Shima Ziajahromi,
Shima Ziajahromi,
Frédéric D.L. Leusch,
Hsuan-Cheng Lu
Frédéric D.L. Leusch,
Kushani Perera,
Shima Ziajahromi,
Frédéric D.L. Leusch,
Hsuan-Cheng Lu
Summary
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.
Study Type
Environmental
Microplastics come in a variety of shapes, polymer types and sizes. Due to the lack of a harmonised approach to analyse and quantify microplastics, there are huge disparities in size detection limits and size classifications used in the literature. This has caused large variations in reported microplastic data and has made comparing microplastic abundance between studies extremely challenging. Herein, we applied a simple mathematical approach that allows for a meaningful comparison between size and abundance (number of particles) of microplastics irrespective of the size classifications used. This method was validated using two separate datasets (microplastics in air and sediment) and applied to re-analyse 127 publications reporting microplastics in various environmental matrices. We demonstrate a strong negative linear relationship between microplastic concentrations and their sizes with comparable slopes across all matrices. Using this method, it is possible to compare the concentration of microplastics of various sizes between studies. It also allows estimation of the abundance of microplastics of a specific size where data are not available. This enables researchers to predict environmentally relevant concentrations of microplastics (particularly for smaller microplastics) and provide realistic exposure scenarios in future toxicity studies, which will greatly improve our understanding of the risks that microplastics pose to living organisms.