A5099111790- Microplastics and Plastic Pollution
- Recycling and Waste Management Techniques
- Spectroscopy and Chemometric Analyses
- Biosensors and Analytical Detection
Tecnológico Nacional de México
2024-2025
Instituto Tecnológico de Toluca
2024-2025
This work introduces two datasets: FTIR-Plastics-C4 (Fourier Transform Infrared Spectroscopy, in plastics, at a wavenumber spectral resolution of 4 cm⁻¹) and FTIR-Plastics-C8 8 cm⁻¹), each comprising 3,000 spectra corresponding to the most used synthetic polymers worldwide. The main contribution this lies selection FTIR characterization six commonly everyday life industry, namely Polyethylene Terephthalate (PET), High-Density (HDPE), Polyvinyl Chloride (PVC), Low-Density (LDPE),...
This study examines the potential of machine learning (ML) and deep (DL) techniques for classifying microplastics using Fourier-transform infrared (FTIR) spectroscopy. Six commonly used industrial plastics (PET, HDPE, PVC, LDPE, PP, PS) were analyzed. A significant contribution this research is use broader more varied spectral ranges than those typically reported in state art. Furthermore, impact different normalization (Min-Max, Max-Abs, Sum Squares, Z-Score) on classification accuracy was...
Los microplásticos presentes en el agua se han convertido un problema ambiental grave, por lo que ha surgido la necesidad de desarrollar técnicas y herramientas para su detección posterior eliminación. En este estudio, utilizó modelo visión computadora YOLO (You Only Look Once) versión 8, agua, cual fue entrenado utilizando conjunto 500 imágenes obtenidas mediante microscopio estereoscópico, derivadas muestras recolectadas dos zonas del Estado México: Valle Bravo municipio Malinalco....