2020
DOI: 10.1177/0003702820929064
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Critical Review of Processing and Classification Techniques for Images and Spectra in Microplastic Research

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Cited by 175 publications
(121 citation statements)
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References 168 publications
(400 reference statements)
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“…The four microscopy methods applied in this study, traditional microscopy, Nile red staining and microscopy, and characterization using mFT-IR or mRaman, as well as chemical characterization using pyrolysis-gas chromatography-mass spectrometry (GC-MS), are increasingly common terminal analyses. 55,56 The ideal sample presentation varies between these terminal analyses and the study design should consider methods that minimize sample processing and yield the optimal sample presentation for their chosen terminal analysis.…”
Section: Recommendations For Future Studiesmentioning
confidence: 99%
“…The four microscopy methods applied in this study, traditional microscopy, Nile red staining and microscopy, and characterization using mFT-IR or mRaman, as well as chemical characterization using pyrolysis-gas chromatography-mass spectrometry (GC-MS), are increasingly common terminal analyses. 55,56 The ideal sample presentation varies between these terminal analyses and the study design should consider methods that minimize sample processing and yield the optimal sample presentation for their chosen terminal analysis.…”
Section: Recommendations For Future Studiesmentioning
confidence: 99%
“…Sediment samples can be shaken to rise plastics to the surface. After the particles are extracted, they can be weighed, 11 photographed, 10 measured for their dimensions, and assessed for their shape, color, and texture characteristics (covered in depth in Cowger et al., 12 within this special issue). The naked eye sorting technique can also be easily deployed in the field, using a field scale and/or photogrammetry.…”
Section: Optical Identification Methodsmentioning
confidence: 99%
“…A detailed discussion on these data analysis methods was reviewed within this special issue. 12
Figure 5.(a) FT-IR spectra of an identified particle using FT-IR imaging by use of the free software siMPle 52,76,77 found on the sample RefEnv2. 78 (b) False color image of the filter area of filter RefEnv2 78 after automated analysis and image analysis.
…”
Section: Chemical Analysis Methodsmentioning
confidence: 99%
“…Especially for the chemical analysis, a plethora of different methods and software are used to interpret generated data. 5,6,14 Among the spectroscopy-based techniques, Fourier transform infrared spectroscopy (FT-IR) is considered most suitable to analyze MP from 5 mm to ∼10 µm, even if it requires different acquisition modes according to the particle size. 6 Micro-FT-IR (µFT-IR) imaging 1720 permits scanning of the whole sample, avoiding the manual sorting/point-and-shoot steps that are otherwise necessary, which are a source of bias as the analysis becomes operator dependent.…”
Section: Introductionmentioning
confidence: 99%
“…Each of these steps has its challenges (cf. Lusher et al, 3 Brander et al, 4 Primpke et al, 6 and Cowger et al 14 ). Additionally, there is an increasing awareness for quality assurance and quality control (QA/ QC) to successfully and reliably identify MP in environmental samples.…”
Section: Introductionmentioning
confidence: 99%