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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. Detection Methods Environmental Sources Sign in to save

Spectral data of PE and PP microplastics in soil (FT-NIR & ATR-FTIR)

Mendeley Data 2025 Score: 38 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Fu, Xinglan

Summary

Researchers developed a dataset of FT-NIR and ATR-FTIR spectral data for polyethylene and polypropylene microplastics in soil, designed to support training and validation of a support vector regression model for rapid quantitative detection of microplastics using spectral fusion and machine learning.

Polymers
PE PP

This dataset supports the research titled “[Rapid Detection of Polyethylene and Polypropylene Microplastics in Soil Using FT-NIR and ATR-FTIR Spectral Data Fusion],” which aims to develop a rapid method for quantitatively determining microplastics in soil based on spectral fusion and machine learning. The dataset contains all spectral and concentration data used for training and validating the support vector regression model.

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