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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

Conclusions Source
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 [65]
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]