A new study suggests that artificial intelligence could dramatically improve how we detect microplastics in our water.
Why do we need to find microplastics?
Microplastics are everywhere. Tiny plastic particles shed from clothing, car tires, personal care products, and other sources eventually make their way into our waterways. While wastewater treatment plants filter some of this water before it returns to the environment, up to 50% of microplastics still pass through, ending up in rivers, lakes, and oceans.
The Current Process
Understanding the scale of this pollution is essential to developing long-term, sustainable solutions. Current research methods have helped scientists build a strong picture of microplastic contamination, but they come with a major limitation: they are slow. Traditionally, researchers use light microscopes to capture images of water samples and use spectroscopy to identify visible particles as microplastics. This process is time-intensive and limits how quickly data can be collected and analyzed.
New research is changing that. By incorporating artificial intelligence, scientists are significantly improving both the speed and accuracy of microplastic detection.
How is AI improving microplastic identification?
In this study, researchers used three main AI tools: CLACHE, YOLO, and ResNet50. The process still begins with microscope images of water samples, but AI enhances what happens next. CLACHE improves image contrast, making microplastic particles easier to see. YOLO and ResNet50 then analyze these images to identify which particles are microplastics. ResNet50 goes a step further by providing more detailed classification, although it operates more slowly than YOLO, which prioritizes speed while still delivering reliable detection.
The results are promising. AI-driven methods were found to greatly increase the speed and accuracy of microplastic identification compared to traditional spectroscopy techniques. This approach has the potential to accelerate research and deepen our understanding of microplastic pollution.
Should You Be Concerned about Microplastic Pollution?
While AI is helping advance the identification of microplastics, removing them from the environment remains a major challenge. Studies have found microplastics throughout the natural world, including within the human body. Exposure has been associated with a range of potential health concerns, such as inflammation, hormone disruption, and certain cancers. Over time, microplastics can break down further into nanoplastics, which are small enough to pass into organs and tissues more easily.
Given these risks, reducing microplastic pollution at the source is critical to limiting its long-term impact. Research like this is an important step forward, but it is only part of a much larger effort needed to address the growing microplastic crisis.
How You Can Help
AI is helping researchers detect microplastics faster and more accurately than ever before, but detection alone does not solve the problem. To truly reduce microplastic pollution, we need to stop it before it enters our waterways in the first place. The largest source of microplastics is something most of us do every day: laundry. Each wash cycle releases tiny synthetic fibers that flow out of washing machines and into the environment. That means real impact starts at the source. CLEANR’s Premium Microplastic Filter for washing machines captures 90%+ of these microplastics before they leave your home, helping turn awareness into action and prevention.
About CLEANR
CLEANR builds best-in-class microplastic filters for washing machines that effortlessly remove the largest source of microplastics into the environment. Its technology, VORTX, represents a breakthrough in filtration, with a patent-pending design that is inspired by nature and proven to outperform conventional filtration technologies by over 300%. The company is building a platform filter technology that enables product manufacturers and business customers to materially reduce their microplastic emissions from impacted in-bound and out-bound fluid streams, including residential and commercial washing machine wastewater, in-home water systems, wastewater treatment, textile manufacturing effluents, industrial wastewater, and other sources.