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Wave-Plast-IQ: Optical Intelligence for Microplastic Quantification in Water

Research project This project develops a novel method for real-time detection and classification of microplastics in water flows using artificial intelligence (AI) and digital holography (DH). By combining polarized holographic imaging with AI algorithms, the research aims to improve understanding of microplastic distribution and impact in dynamic aquatic environments.

Plastic waste breaks down into microplastics (MPs), now found not just in oceans but inside human bodies, in blood, lungs, and even breast milk. These particles can deform cells and may lead to health problems like asthma, cancer, and neurological effects. As microplastic pollution in drinking water becomes a growing threat, there’s an urgent need for real-time monitoring. This research aims to develop an AI-driven optical system to detect and analyze MPs in flowing water, helping safeguard human and environmental health.

Head of project

Davood Khodadad
Associate professor
E-mail
Email

Project overview

Project period:

2025-04-01 – 2027-03-31

Participating departments and units at Umeå University

Department of Applied Physics and Electronics

External funding

The Kempe Foundation

Project description

Microplastic (MP) pollution in water sources poses an urgent and growing threat to both the environment and public health. This research project addresses this challenge by developing a novel method for real-time detection and classification of microplastics in flowing water. As MPs continue to accumulate in diverse ecosystems and have been detected even in human blood and organs, understanding their presence and behavior has become critical.

The proposed approach integrates artificial intelligence (AI) with digital holography (DH), offering a unique solution for monitoring MPs. The method involves setting up a polarization-based holographic imaging system, performing precision calibration, and training AI models to detect and characterize MPs based on their optical signatures.

This interdisciplinary research aims to bridge significant knowledge gaps in current microplastic monitoring techniques and provide a foundation for improved environmental surveillance. By enabling fast, non-invasive, and automated analysis of MPs in dynamic aquatic environments, the project contributes to the development of sustainable water quality management tools and supports ongoing efforts to reduce plastic pollution.

External funding

Latest update: 2025-06-16