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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. Detection Methods Environmental Sources Food & Water Human Health Effects Marine & Wildlife Nanoplastics Policy & Risk Sign in to save

Connecting the Dots: Livestock Animals as Missing Links in the Chain of Microplastic Contamination and Human Health

Animals 2024 29 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 65 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Francesca Corte Pause, Susy Urli, Martina Crociati, G. Stradaioli, Anja Baufeld

Summary

This review highlights that farm animals are a missing link in understanding how microplastics move from contaminated soil and plants into the human food supply. Livestock can accumulate inhaled and ingested plastic particles, which may then transfer to people through meat, milk, and eggs. The authors call for standardized methods to measure microplastics in animal products to better understand this exposure pathway.

Body Systems

Plastic pollution is a global diffuse threat, especially considering its fragmentation into microplastics (MPs) and nanoplastics (NPs). Since the contamination of the aquatic environment is already well studied, most studies have now focused on the soil. Moreover, the number of studies on the exposure routes and toxic effects of MNPs in humans is continuously increasing. Although MNPs can cause inflammation, cytotoxicity, genotoxicity and immune toxicity in livestock animals, which can accumulate ingested/inhaled plastic particles and transfer them to humans through the food chain, research on this topic is still lacking. In considering farm animals as the missing link between soil/plant contamination and human health effects, this paper aims to describe their importance as carriers and vectors of MNP contamination. As research on this topic is in its early stages, there is no standard method to quantify the amount and the characteristics of MNPs in different matrices. Therefore, the creation of a common database where researchers can report data on MNP characteristics and quantification methods could be helpful for both method standardization and the future training of an AI tool for predicting the most abundant/dangerous polymer(s), thus supporting policy decisions to reduce plastic pollution and perfectly fitting with One Health principles.

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