In a breakthrough development, researchers at the Institute of Nanoscience and Technology (INST), Mohali, have designed a biodegradable and eco-friendly water purification system powered by sunlight, vibration, and artificial intelligence (AI). This next-generation innovation efficiently cleans industrial wastewater without using harmful chemicals or large amounts of energy.
The team developed a 3D-printed scaffold made from biodegradable polylactic acid (PLA), coated with a catalyst called Bismuth Ferrite (BiFeO₃). This structure enables a process known as piezo-photocatalysis, which uses sunlight and mechanical vibrations to activate the catalyst and degrade pollutants such as Methylene Blue and Congo Red dyes found in wastewater.
Unlike traditional treatment techniques that require energy-intensive and hazardous chemicals, this smart filter is sustainable, cost-effective, and reusable. Even under cloudy skies, vibrations continue to power the system, ensuring consistent purification without interruption.
To further optimize performance, the scientists integrated AI through machine learning models—particularly artificial neural networks—that predicted pollutant breakdown with up to 99% accuracy. This digital integration allowed them to fine-tune the system for maximum efficiency.
Lab tests showed the filter could remove up to 98.9% of Congo Red and 74.3% of Methylene Blue—results that surpass conventional high-end methods. The device is low-cost, scalable, and suitable for both industrial use and remote community deployment.
The project included synthesis of the BiFeO₃ catalyst via sol-gel methods, 3D printing of the PLA scaffolds, coating, testing, and the development of predictive AI models—demonstrating a holistic approach to innovation and sustainability.
This invention, published in the journal Nano Energy, marks a leap forward in environmentally responsible water purification technology driven by renewable energy and smart engineering.
Source: PIB
