Gaps between Laboratory Experiments and Real-World Exposure: Toxicological Assessment of Microplastics Is Based on...

Area of Science:

• Environmental Science
• Toxicology
• Materials Science

Background:

• Global microplastic (MP) toxicity assessment is critical.
• Current research primarily focuses on individual MP toxicity, neglecting environmental complexity and combined pollutant effects.
• A significant knowledge gap exists regarding low-dose, long-term MP exposure, limiting current risk assessment relevance.

Purpose of the Study:

• To propose a comprehensive and logical framework for evaluating microplastic toxicity.
• To address the limitations of current research by incorporating environmental complexity and long-term exposure scenarios.
• To bridge the gap between laboratory findings and real-world conditions for effective risk management.

Main Methods:

• Enhancing harmonization of methods for detecting and quantifying MPs in diverse matrices.
• Utilizing Artificial Intelligence (AI) to simulate real-world exposures and predict MP interactions.
• Integrating knowledge from environmental science, toxicology, and materials science.

Main Results:

• The proposed approach aims to transform fragmented data into actionable risk intelligence.
• It facilitates a more thorough evaluation of MP toxicity by considering multiple factors.
• The framework is designed to provide robust data for governance solutions.

Conclusions:

• A holistic approach is necessary for accurate microplastic toxicity assessment.
• Integrating advanced methods like AI and interdisciplinary collaboration is crucial.
• This strategy will enhance the relevance of toxicity data for global MP risk governance.