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How Many Soil Samples Do We Need to Take to Determine Concentrations of Micro- and Nanoplastics in Terrestrial Systems?
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Researchers developed a theoretical statistical framework to determine how many soil samples are needed to reliably quantify micro- and nanoplastic concentrations in terrestrial systems, finding that sample number requirements depend strongly on spatial heterogeneity. The framework provides practical guidance for designing sampling strategies in soil microplastic studies that produce statistically defensible results.
Plastics pollution of terrestrial environments is a global problem, and plastics have been observed even in remote areas. However, how much plastic is present in terrestrial ecosystems is not well known. Here, we present a theoretical framework for representative sampling of randomly distributed plastic particles in soils or sediments. Based on geostatistical analysis, we determined optimal sampling strategies to quantify micro- and nanoplastics in soils or sediments. We used numerical simulations to test the sampling of randomly distributed plastic particles, and determined the sampling support (number of cores or sampling area) needed to obtain plastic concentrations within a specific error. Plastic pollution in the field was numerically simulated by placing plastic particles randomly in two dimensional space. We then took soil samples with differently sized cores, and determined plastic concentration as a function of number of cores taken. We will show how many cores are needed to determine the plastic concentrations within a given error.
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This study develops improved methods for sampling and detecting microplastics in soil, addressing a major gap in current research. Standardized sampling strategies are essential because microplastic distribution in soil is highly variable, making it easy to miss contamination with inconsistent methods. Better detection protocols will help scientists accurately measure how much microplastic is accumulating in agricultural and natural soils.
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