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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. Environmental Sources Marine & Wildlife Remediation Sign in to save

Hereon LDIR Library for Microplastic Analysis

Zenodo (CERN European Organization for Nuclear Research) 2022 2 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Lars Hildebrandt, Fadi El Gareb, Daniel Pröforck

Summary

Researchers expanded a spectral library for laser direct infrared (LDIR) microplastic analysis by adding spectra for natural particles and diverse microplastic types and fibers. The expanded library improves the accuracy of automated microplastic identification in environmental samples and reduces the need for manual data reanalysis. This technical contribution supports more reliable large-scale microplastic monitoring.

LDIR (laser direct infrared) imaging is based on a QCL source and can enable efficient and accurate microplastic analysis. However, the quality of the analysis is highly dependent on the underlying spectral library. We have expanded the manufacturer's library by IR spectra of natural particles and materials as well as various microplastic model particles and fibers. The library enables a more accurate analysis of environmental samples and it significantly reduces the need for reevaluation work. The library is optimized for marine and riverine filtration samples. However, it can certainly also be helpful regarding the analysis of other matrices.

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