High-Throughput Analyses of Microplastic Samples Using Fourier Transform Infrared and Raman Spectrometry.
Josef BrandtLars BittrichFranziska FischerElisavet KanakiAlexander TaggRobin LenzMatthias LabrenzElke BrandesDieter FischerKlaus-Jochen EichhornPublished in: Applied spectroscopy (2020)
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.
Keyphrases
- high throughput
- high resolution
- label free
- high speed
- deep learning
- optical coherence tomography
- single cell
- machine learning
- magnetic resonance imaging
- human health
- single molecule
- health information
- molecular docking
- risk assessment
- data analysis
- social media
- mass spectrometry
- quantum dots
- gas chromatography
- liquid chromatography
- solid phase extraction