Key Learning Objectives:
Build confidence in microplastics data through robust, defensible workflows
Improve data quality and reproducibility across complex sample types
Mitigate analytical risk by avoiding contamination and misidentification pitfalls
Combine complementary techniques to strengthen insight and validation
Enable scalable, routine analysis for real-world laboratory environments

Who Should Attend:
Microplastics researchers
Microplastics analysts from commercial, QA, or research labs seeking to understand key challenges in Microplastics analysis
Those interested in microplastics analysis and the development of standardized methodology around the world