0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Sign in to save

VIS–NIR–SWIR microplastics spectral library

Original title: VIS–NIR–SWIR microplastics spectral library

Zenodo (CERN European Organization for Nuclear Research) 2026
Agnieszka Wesołowska, Jan Piekarczyk

Summary

Scientists created a detailed reference library that shows how different types of plastic reflect light, which can help computers and scanners quickly identify tiny plastic particles in water, soil, or food. This tool doesn't directly study health effects, but it's an important building block for faster, cheaper microplastic detection — something we need if we want to track how much plastic pollution ends up in what we eat and drink.

This dataset provides a VIS-NIR-SWIR reflectance spectral library of microplastics measured in the 350-2500 nm range. It includes PET, HDPE, PVC, LDPE, PP, and PS samples across different particle-size fractions, colors, and material groups. The CSV files contain wavelength, reflectance, polymer type, color, particle-size fraction, and measurement identifier metadata. The library is intended for spectral comparison, preprocessing, reference matching, and machine-learning-based microplastic classification, and is associated with the Microplastic Spectral Analysis App 3 (MSAA3).

Share this paper