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Development of a Low-Cost Method for Quantifying Microplastics in Soils and Compost Using Near-Infrared Spectroscopy
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This is a data repository entry providing datasets and scripts for evaluating a near-infrared spectroscopy method to quantify microplastics in soils and compost. The record itself contains minimal descriptive content beyond the dataset reference.
Datasets and scripts for data evaluation
More Papers Like This
Development of a Low-Cost Method for Quantifying Microplastics in Soils and Compost Using Near-Infrared Spectroscopy
AI summary Read the abstract
This is a duplicate data repository entry for a near-infrared spectroscopy method used to quantify microplastics in soils and compost, providing only minimal descriptive content.
Development of a low-cost method for quantifying microplastics in soils and compost using near-infrared spectroscopy
AI summary Read the abstract
Near-infrared spectroscopy was developed as a low-cost, non-destructive method to quantify microplastic mass in soil and compost samples, with sensitivity improved through spectral preprocessing techniques. The method offers a practical alternative to time-consuming visual counting or expensive chemical analysis for high-throughput soil monitoring.
Quantitative Analysis of Microplastics in Soil Using Near-Infrared Spectroscopy
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This master's thesis examines the use of near-infrared spectroscopy as a quantitative analytical method for detecting and measuring microplastic concentrations in soil samples, assessing its potential as a faster alternative to conventional microplastic quantification techniques.
Vis-NIR spectroscopy based rapid and non-destructive method to quantitate microplastics: An emerging contaminant in farm soil
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Researchers developed a rapid, non-destructive method using visible and near-infrared spectroscopy to quantify microplastics in farm soil. The study suggests this approach could overcome the limitations of current extraction-based methods, which are time-consuming and prone to errors and biases.
Predicting soil microplastic concentration using vis-NIR spectroscopy
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Researchers used visible and near-infrared (vis-NIR) spectroscopy to predict microplastic concentrations in soil samples, developing calibration models that could estimate contamination levels directly from spectral measurements without extensive sample preparation. The approach offers potential for faster and more scalable monitoring of microplastic pollution in agricultural and natural soils.
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