
This application note presents a practical workflow for the detection and characterization of microplastics down to 1 µm in table salt. After dissolution and filtration, samples are analyzed using an automated how Raman microscopy approach. The method addresses key challenges such as high particle numbers, particle overlap, and trace-level detection through optimized sample preparation, adapted sampling mass, and a robust statistical strategy. Several polymer types, including polypropylene (PP), polyethylene terephthalate (PET), polyamide (PA), polyvinyl chloride (PVC), butadiene rubber (BR), and silicone, were successfully identified.
高分辨超灵敏智能拉曼成像仪
颗粒形貌与化学成分分析
Spectral Identification Assistant within Raman Spectra Database
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