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Transforming the Study of the Mechanical Degradation of Plastic: Advancing Microplastic Release Predictions through Quantitative Approaches
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Everyday wear and tear, like tires rubbing against roads or shoes hitting the pavement, breaks plastic down into tiny microplastic particles, but scientists still don't have a clear, standardized way to measure or predict how much gets released this way. This review argues for better, more consistent testing methods so researchers can actually compare results across studies and build reliable models for microplastic pollution. Understanding these release patterns matters because it's a key step toward figuring out how much of these particles end up in our environment, food, and eventually our bodies.
KEYWORDS: microplastic and nanoplastic pollution, mechanical degradation, release rate T he breakdown of macroplastics is well recognized as the largest source term for microplastic and nanoplastic (MNP) pollution.1 Specifically, mechanical forces during the production, use, and disposal are inevitable drivers that significantly contribute to the environmental release of MNPs and impact their distribution, mobility, and toxicity due to size reduction.For example, plastic debris can experience normal and friction forces from sand particles during aquatic and aerial sediment transport.Mulch films and polymer-coated fertilizers endure normal, friction, tension, and shear forces in agricultural soil.Consumer products such as rubber shoe outsoles are subject to normal and friction forces.Similar forces experienced by vehicle tires emit around 0.23-1.9kg of MNPs per year per capita globally.Despite their importance, mechanistic links between plastic properties, mechanical degradation dynamics, and quantitative MNP release rates, particularly in complex environmental systems, remain understudied.Disparate data from lab-scale mechanical degradation remain difficult to harmonize.We advocate for standardized and replicable methods that (1) quantify mechanical intensity (e.g., force, shear rate, and energy input rate), (2) properly define degradation mechanisms, force types, and loading conditions, (3) improve standardization and adequate characterization, (4) integrate mechanical properties into property-degradability relationships and modeling, and (5) consider the interaction with other complex environmental factors and material complexity (Figure 1).These advances will lead to predictive modeling of
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Scientists reviewed 60 years of research and found that studies measuring plastic pollution in our environment use wildly different methods, making it impossible to compare results or understand the true scope of the problem. This lack of consistency means we can't properly track whether plastic pollution (including tiny particles that can enter our food and water) is getting better or worse over time. The researchers are calling for standardized methods so we can better monitor plastic pollution and protect human health.
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