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Issue 9, 2017
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An automated approach for microplastics analysis using focal plane array (FPA) FTIR microscopy and image analysis

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Abstract

The analysis of imaging data derived from micro-Fourier transform infrared (μFTIR) microscopy is a powerful tool allowing the analysis of microplastics enriched on membrane filters. In this study we present an automated approach to reduce the time demand currently needed for data analyses. We developed a novel analysis pipeline, based on the OPUS© Software by Bruker, followed by image analysis with Python and Simple ITK image processing modules. By using this newly developed pipeline it was possible to analyse datasets from focal plane array (FPA) μFTIR mapping of samples containing up to 1.8 million single spectra. All spectra were compared against a database of different synthetic and natural polymers by various routines followed by benchmark tests with focus on accuracy and quality. The spectral correlation was optimized for high quality data generation, which allowed image analysis. Based on these results an image analysis approach was developed, providing information on particle numbers and sizes for each polymer detected. It was possible to collect all data with relative ease even for complex sample matrices. This approach significantly decreases the time demand for the interpretation of complex FTIR-imaging data and significantly increases the data quality.

Graphical abstract: An automated approach for microplastics analysis using focal plane array (FPA) FTIR microscopy and image analysis

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Publication details

The article was received on 02 Sep 2016, accepted on 18 Jan 2017 and first published on 20 Jan 2017


Article type: Paper
DOI: 10.1039/C6AY02476A
Citation: Anal. Methods, 2017,9, 1499-1511
  • Open access: Creative Commons BY-NC license
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    An automated approach for microplastics analysis using focal plane array (FPA) FTIR microscopy and image analysis

    S. Primpke, C. Lorenz, R. Rascher-Friesenhausen and G. Gerdts, Anal. Methods, 2017, 9, 1499
    DOI: 10.1039/C6AY02476A

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