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Related Concept Videos

Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

733
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
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Sampling Plans01:23

Sampling Plans

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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
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Separation and Identification of Conventional Microplastics from Farmland Soils
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How to take representative samples to quantify microplastic particles in soil?

Yingxue Yu1, Markus Flury1

  • 1Department of Crop & Soil Sciences, WSU Puyallup Research & Extension Center, Washington State University, Puyallup, WA 98371, USA; Department of Crop & Soil Sciences, Washington State University, Pullman, WA 99164, USA.

The Science of the Total Environment
|June 5, 2021
PubMed
Summary

Quantifying terrestrial plastic pollution requires understanding sampling representativeness. This study numerically determined optimal sampling strategies, showing fewer, larger samples are needed for higher plastic concentrations.

Keywords:
Micro- and nanoplasticsPlastic particlesQuantificationRepresentative samplingTerrestrial environment

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Area of Science:

  • Environmental Science
  • Ecotoxicology
  • Soil Science

Background:

  • Accurate quantification of plastic particles in terrestrial ecosystems is hindered by sampling challenges.
  • Existing literature on plastic concentrations may have errors due to non-representative sampling methods.

Purpose of the Study:

  • To numerically simulate and determine optimal methods for collecting representative terrestrial samples for plastic particle quantification.
  • To evaluate the accuracy of reported plastic concentrations in the scientific literature based on sampling strategies.

Main Methods:

  • Numerical simulation of terrestrial fields with randomly distributed plastic particles (uniform and clustered).
  • Determination of the representative elementary volume (REV) and the required number of samples for various plastic concentrations and error tolerances.
  • Evaluation of sampling strategies including sample size and replication.

Main Results:

  • The representative elementary volume (REV) and the number of required samples decrease hyperbolically with increasing plastic particle concentration.
  • Hundreds to thousands of small soil cores are needed for low concentrations (10^2 particles/m^2), while few large samples suffice for high concentrations (10^5 particles/m^2).
  • Accurate measurements require total sample surface area to meet or exceed the REV.

Conclusions:

  • Sampling strategies must adapt to plastic particle concentration for accurate terrestrial plastic quantification.
  • Larger, replicated samples are recommended over numerous small cores, utilizing methods like quartering to reduce soil volume.
  • This research provides a framework for improving the reliability of data on terrestrial plastic pollution.