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Detection Methods
Environmental Sources
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High-Throughput Analyses of Microplastic Samples Using Fourier Transform Infrared and Raman Spectrometry
Applied Spectroscopy2020
60 citations
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Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Score: 40
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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.