Publications by authors named "Mehrdad Lotfi Choobbari"
Given the growing urge for plastic management and regulation in the world, recent studies have investigated the problem of plastic material identification for correct classification and disposal. Recent works have shown the potential of machine learning techniques for successful microplastics classification using Raman signals. Classification techniques from the machine learning area allow the identification of the type of microplastic from optical signals based on Raman spectroscopy.
View Article and Find Full Text PDFThe combination of different polymers in the form of blended plastics has been used in the plastic industry for a long time. Nevertheless, analyses of microplastics (MPs) have been mainly limited to the study of particles made of single-type polymers. Accordingly, two members of the Polyolefins (POs) family, i.
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- - The study focuses on analyzing microplastics (MPs) in water by measuring their size and concentration, using a method called "Goniophotometry," which pairs multi-angle light scattering with advanced data processing techniques.
- - It investigates polystyrene MPs of various sizes (500 nm to 20 μm) in both uniform and non-uniform distributions, revealing how Principal Component Analysis (PCA) can identify relationships in scattering data for different size distributions.
- - The research develops a Linear Discriminant Analysis (LDA) model to classify the size of MPs in different samples and applies a simple linear fit to determine their concentration, ensuring reliable and reproducible measurements through a Linear Least Square (LLS) model