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Contamination control in micro- and nanoplastics research: a diagnostic framework for reproducible analysis

Environmental Science Nano 2026 Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Imran Aslam, Maarten B. J. Roeffaers

Summary

Researchers developed a Contamination Control Scorecard (CCS) — a practical diagnostic tool that helps microplastic scientists identify where contamination enters their experiments, assess lab practices, and improve reporting transparency. Controlling contamination is a fundamental challenge in the field, and standardized frameworks like this are essential for producing reproducible, trustworthy results.

The Contamination Control Scorecard (CCS) diagnoses contamination pathways, laboratory practices, and reporting transparency to strengthen reproducibility in micro- and nanoplastics research.

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