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Table 4 Overview of common conclusions in the literature review

From: Hyperspectral imaging as an emerging tool to analyze microplastics: A systematic review and recommendations for future development



Water reduces spectral reflectance, drying of particles is important

[61, 64]

SVM model outperforms PLS-DA, ML

[60, 64]

Dark particles are harder to detect

[60, 65]

ID of smaller particles is hindered by spatial resolution

[56, 60, 61, 64]

Weathered polymers have degraded spectra as compared with pristine polymers

[55, 62]

Reference polymers should be more diverse, include weathering and polymer mixtures


Over 90% of particles > 1 mm positively identified

[58, 60]

Addition of extra “class” for background or non-polymer material helped classification

[56, 59, 60]

Glass fiber filter is a suitable background material

[54,55,56,57, 64, 65]