Predicting Microplastics Pollution & Possible Interventions
Predicting Potential Problems of Persistent Plastic Particulates
Tags: Singapore University of Technology and Design, Singapore, Energy & Environment, Science & Exploration
Plastics, often ending up as microplastics, pose environmental risks by binding with harmful chemical waste like pharmaceuticals and personal care products (PPCPs), affecting water supplies and human health. The SUTD research team used machine learning and Fourier-transform infrared (FT-IR) spectroscopy to study the adsorption of PPCPs on aged microplastics, enhancing understanding of their environmental impact. This technique allowed them to probe the surface of microplastics carefully, identifying different functional groups and how they influence interactions with surrounding chemicals. Their research, focusing on long-term effects and surface interactions, predicts adsorption capacities with significant accuracy. This approach offers insights into pollution control and the safeguarding of ecosystems. The study stands as a potential game-changer in addressing microplastic pollution.
IP Type or Form Factor: Discovery & Research; Software & Algorithm
TRL: 1 - basic research with defined needs
Industry or Tech Area: Plastic Waste & Recycling; Marine Exploration & Conservation
