We are advancing cutting-edge research in microplastic detection by integrating artificial intelligence with innovative material science. Our AI models are trained to automatically identify and quantify microplastics, accurately estimating their number, size distribution, and mass. This capability has been translated into the development of a rapid and highly efficient microplastic detection device, significantly reducing analysis time while maintaining high accuracy.

Currently, identifying plastic types typically requires expensive analytical instruments such as FTIR (Fourier Transform Infrared Spectroscopy), which limits accessibility and large-scale application. To overcome this challenge, we have developed specialized dyes with high selectivity toward different types of plastics. These dyes are engineered in multiple formulations to enhance specificity and versatility across various sample conditions.

With these innovations, we are moving toward the development of an integrated platform capable of fast detection, classification, and comprehensive analysis of microplastics. This technology has strong potential for environmental monitoring, research, and regulatory applications, offering a more accessible, scalable, and cost-effective solution for addressing microplastic pollution.