Did you know that just one spoonful of sugar can contain thousands of tiny microplastic particles, smaller than 20 microns?
In this application note, we demonstrate how Raman spectroscopy can be effectively used to detect, characterize, and quantify microplastic particles in food matrices. Using sugar as a model sample, we present a step-by-step workflow covering sample preparation, Raman analysis, and data interpretation, showcasing the potential of this technique for routine monitoring of microplastics in food products.
Raman Spectroscope - Automated Imaging Microscope
Automated Particle Measurement, Identification and Classification using Raman Analysis
Spectral Identification Assistant within Raman Spectra Database
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