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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Sign in to save

High-Throughput Analyses of Microplastic Samples Using Fourier Transform Infrared and Raman Spectrometry

Applied Spectroscopy 2020 60 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Dieter Fischer, Robin Lenz, Robin Lenz, Robin Lenz, Robin Lenz, Robin Lenz, Robin Lenz, Robin Lenz, Robin Lenz, Josef Brandt, Josef Brandt, Josef Brandt, Alexander S. Tagg, Alexander S. Tagg, Alexander S. Tagg, Alexander S. Tagg, Alexander S. Tagg, Alexander S. Tagg, Alexander S. Tagg, Alexander S. Tagg, Alexander S. Tagg, Alexander S. Tagg, Matthias Labrenz Dieter Fischer, Robin Lenz, Dieter Fischer, Elke Brandes, Elke Brandes, Elke Brandes, Elke Brandes, Elke Brandes, Elke Brandes, Robin Lenz, Robin Lenz, Robin Lenz, Robin Lenz, Robin Lenz, Elke Brandes, Robin Lenz, Matthias Labrenz Matthias Labrenz Matthias Labrenz Robin Lenz, Robin Lenz, Alexander S. Tagg, Elke Brandes, Matthias Labrenz Robin Lenz, Matthias Labrenz Matthias Labrenz Matthias Labrenz Matthias Labrenz Lars Bittrich, Robin Lenz, Franziska Fischer, Franziska Fischer, Alexander S. Tagg, Elke Brandes, Franziska Fischer, Alexander S. Tagg, Franziska Fischer, Alexander S. Tagg, Dieter Fischer, Dieter Fischer, Elke Brandes, Franziska Fischer, Matthias Labrenz Matthias Labrenz Matthias Labrenz Robin Lenz, Matthias Labrenz Matthias Labrenz Matthias Labrenz Matthias Labrenz Robin Lenz, Dieter Fischer, Dieter Fischer, Dieter Fischer, Dieter Fischer, Dieter Fischer, Franziska Fischer, Franziska Fischer, Franziska Fischer, Franziska Fischer, Franziska Fischer, Franziska Fischer, Franziska Fischer, Franziska Fischer, Franziska Fischer, Elisavet Kanaki, Matthias Labrenz Matthias Labrenz Josef Brandt, Josef Brandt, Alexander S. Tagg, Josef Brandt, Dieter Fischer, Matthias Labrenz Dieter Fischer, Alexander S. Tagg, Dieter Fischer, Josef Brandt, Matthias Labrenz Josef Brandt, Dieter Fischer, Elisavet Kanaki, Josef Brandt, Dieter Fischer, Matthias Labrenz Matthias Labrenz Dieter Fischer, Franziska Fischer, Matthias Labrenz Matthias Labrenz Dieter Fischer, Dieter Fischer, Franziska Fischer, Franziska Fischer, Matthias Labrenz Matthias Labrenz Josef Brandt, Dieter Fischer, Matthias Labrenz Dieter Fischer, Dieter Fischer, Dieter Fischer, Matthias Labrenz Alexander S. Tagg, Dieter Fischer, Josef Brandt, Josef Brandt, Matthias Labrenz Dieter Fischer, Dieter Fischer, Dieter Fischer, Dieter Fischer, Dieter Fischer, Dieter Fischer, Dieter Fischer, Dieter Fischer, Dieter Fischer, Robin Lenz, Klaus‐Jochen Eichhorn, Dieter Fischer, Matthias Labrenz Matthias Labrenz Matthias Labrenz Klaus‐Jochen Eichhorn, Matthias Labrenz Matthias Labrenz Matthias Labrenz Matthias Labrenz Matthias Labrenz Matthias Labrenz Matthias Labrenz Dieter Fischer, Dieter Fischer, Klaus‐Jochen Eichhorn, Robin Lenz, Franziska Fischer, Matthias Labrenz Matthias Labrenz Klaus‐Jochen Eichhorn, Matthias Labrenz Matthias Labrenz Dieter Fischer, Matthias Labrenz Dieter Fischer, Klaus‐Jochen Eichhorn, Klaus‐Jochen Eichhorn, Matthias Labrenz Matthias Labrenz Matthias Labrenz Dieter Fischer, Franziska Fischer, Klaus‐Jochen Eichhorn, Klaus‐Jochen Eichhorn, Elke Brandes, Matthias Labrenz Robin Lenz, Dieter Fischer, Franziska Fischer, Klaus‐Jochen Eichhorn, Matthias Labrenz Matthias Labrenz Matthias Labrenz Dieter Fischer, Matthias Labrenz Matthias Labrenz Dieter Fischer, Matthias Labrenz Matthias Labrenz Matthias Labrenz Matthias Labrenz Matthias Labrenz Matthias Labrenz

Summary

Researchers developed GEPARD, an open-source software package that combines optical particle analysis with automated FT-IR and Raman microspectroscopy to enable high-throughput identification and characterization of microplastics. The system steers spectroscopic measurements based on optically detected particles, enabling efficient polymer typing, size distribution measurement, and color classification.

Determining microplastics in environmental samples quickly and reliably is a challenging task. With a largely automated combination of optical particle analysis, Fourier transform infrared (FT-IR), and Raman microscopy along with spectral database search, particle sizes, particle size distributions, and the type of polymer including particle color can be determined. We present a self-developed, open-source software package for realizing a particle analysis approach with both Raman and FT-IR microspectroscopy. Our software GEPARD (Gepard Enabled PARticle Detection) allows for acquiring an optical image, then detects particles and uses this information to steer the spectroscopic measurement. This ultimately results in a multitude of possibilities for efficiently reviewing, correcting, and reporting all obtained results.

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