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Improved method for rapid characterization of microplastics in environmental samples with QCL-IR based microscopy and micro spectroscopy (Conference Presentation)
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Researchers presented a quantum cascade laser infrared (QCL-IR) microscopy method for rapidly characterizing microplastics in environmental samples. The approach combines spatial imaging with chemical identification to classify particles by size, shape, and polymer type faster than conventional FTIR microscopy. Improved throughput in microplastic characterization helps researchers process the large sample volumes needed for environmental monitoring studies.
Microplastic particles are ubiquitous and actually many research projects deal with characterizing and quantifying the microplastic particles chemically, in number, size, and shape. The form factor influences the areas, where the particles accumulate and their potential harm in ecosystems and organs. Using microscopes (RAMAN-, QCL-IR, or µFTIR) is a well-established technique to characterize particles in environmental probes by their dimensions and chemical properties. However, measuring thicker particles challenge optical methods. A method increasing the repeatability and minimizing manual interventions by combining different modes of operation using a wide field hyperspectral QCL-IR-microscope systems is presented.
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