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From Detection to Source Attribution: Molecular Fingerprinting and Transformation Pathways of Nanoplastics in Drinking-Water Systems

Preprints.org 2026
José Roberto Vega‐Baudrit, Mary Lopretti, Felipe Orozco

Summary

Tiny plastic particles (nanoplastics) in your tap water can come from many sources—the original water supply, treatment plants, pipes, or even the bottle you're drinking from—but figuring out exactly where they came from has been really hard. This review pulls together existing research on advanced lab techniques that act like "fingerprinting" tools, analyzing a particle's chemical makeup, surface wear, and breakdown patterns to trace it back to its source. This matters because pinpointing where nanoplastics enter our water is a necessary step before scientists can figure out which sources are riskiest and how to reduce our exposure to them.

Polymers

Detection of nanoplastics in drinking-water systems is only the first analytical step toward exposure interpretation; the next challenge is source attribution. This review examines molecular fingerprinting and transformation pathways that can link nanoscale polymer signals to source waters, drinking-water treatment, distribution infrastructure, packaging materials, laboratory background, or aging processes across the potable-water chain. The synthesis evaluates how polymer identity, particle morphology, surface oxidation, additive and oligomer profiles, thermal degradation markers, and matrix context can be combined into defensible source assignments. Particular attention is given to packaging-derived PET and polyolefin particles, disinfection- and treatment-induced aging, biofilm and colloid interactions, and the analytical consequences of weathering for Raman, SERS, AFM-IR, O-PTIR, SRS, Py-GC/MS, AF4-Py-GC/MS, MALDI-TOF-MS, and chemometric workflows. The central conclusion is that source attribution cannot be inferred from polymer identity alone. Robust interpretation requires convergent evidence from particle-level chemistry, polymer-specific mass, additive or marker-ion signatures, aging state, blanks, recovery, and contextual sampling design.

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