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Data & Software for "Superlinear Lipid Scaling of Tissue Burden for Nanoplastics and Other Hydrophobic Particles"

Zenodo (CERN European Organization for Nuclear Research) 2026
Alfonso M. Gañán‐Calvo

Summary

This paper looks at how tiny plastic particles (nanoplastics) build up in body tissue and finds that fattier tissues collect these particles at a faster-than-expected rate — meaning a small increase in fat content can lead to a disproportionately large increase in plastic buildup. This matters because it suggests that organs and tissues rich in fat (like the brain) could be especially vulnerable to accumulating these particles over time, which is important for understanding potential long-term health risks from plastic pollution. Note: this particular document is mainly a data/code file description for reproducing the study's results, not the full research paper itself, so some details of the

The files produce the bootstrap script, the ODR/robustness analysis and the plot of the data in MNP_master_data.xlsx. That set reproduces every number in the Letter and the SM from the published source data.

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