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Communicating Confidence in the Reliability of Micro- and Nanoplastic Identification in Human Health Studies

Cronfa (Swansea University) 2026 Score: 50 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Martin Clift

Summary

Researchers proposed a framework for assigning confidence levels to scientific measurements of micro- and nanoplastics in human tissues and fluids, using multiple complementary detection methods to improve reliability. Standardizing how scientists report these findings is critical, as inconsistent methods make it hard to assess the true health risks of plastic particles inside the human body.

Accurately quantifying and characterizing human internal exposure to micro-and nanoplastics are critical for assessing potential health risks.However, the detection of these particles in human tissues, fluids, cell systems, and relevant models remains a major analytical challenge.There is an urgent need for robust, selective, sensitive, and high-throughput methods capable of generating reliable quantitative data.Equally essential is the transparent reporting of methodological limitations and uncertainties, supported by rigorous data collection and standardized practices.These challenges are compounded by the ubiquity of plastic particles, and therefore the risk of sample contamination and their diverse properties (e.g., size, shape, composition), all adding to the complexity of identifying and quantifying them in biological matrices.To address these issues, we propose a framework that integrates orthogonal analytical techniques to enhance the data reliability.Commonly used analytical techniques for the analysis of micro-and nanoplastics are assigned a category based on their specificity when identifying plastic particles.The framework proposes minimum data requirements from orthogonal techniques for the identification of plastic particles at various confidence levels.Clear communication of analytical confidence is vital, and we present a structured approach to support this.We emphasize the importance of scientific integrity, rigorous study design, and transparent reporting in health research.Finally, we call for the universal adoption of harmonized confidence criteria for reporting the presence of plastics in humans, an essential step toward informed decision-making.

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