New Bio-Based Membrane Could Revolutionize PFAS Removal from Water
New Bio-Based Membrane Could Revolutionize PFAS Removal from Water
New Bio-Based Membrane Could Revolutionize PFAS Removal from Water
A new bio-based polymer membrane developed by the University of Bath could offer a sustainable solution for removing harmful PFAS chemicals from water. The technology, tested in laboratories since early 2026, has shown promising results in capturing a wide range of these persistent pollutants. The membrane works by absorbing moisture when exposed to water, triggering a structural change that traps PFAS molecules. Made from ultra-fine polymer fibres sourced from renewable materials, it targets capture rather than destruction, aligning with circular economy principles.
Laboratory tests have confirmed its effectiveness against 47 different PFAS compounds. In trials, the membrane removed over 94% of PFOA—a common and dangerous PFAS variant—from contaminated samples. The adsorption process proved rapid, with half the pollutant load captured within the first hour. One key advantage is the membrane's ability to regenerate. By applying heat, trapped contaminants can be released, allowing the material to recover up to 93% of its original performance. This feature reduces waste and extends its usable lifespan. The research team is now transitioning from controlled lab conditions to real-world testing. If scaled successfully, the technology could introduce a new class of water treatment materials that balance high performance with sustainability. PFAS remediation has long posed a technical challenge, especially at larger scales. Traditional methods often struggle with efficiency or environmental impact, making this bio-based approach a potential breakthrough.
The membrane's development marks a step forward in tackling PFAS pollution through reusable, plant-derived materials. Further testing will determine its practicality for industrial and municipal water treatment systems. If proven effective outside the lab, the technology could provide a scalable, eco-friendly alternative to current methods.