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Related Concept Videos

Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

454
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...
454

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Updated: Sep 18, 2025

Sampling, Sorting, and Characterizing Microplastics in Aquatic Environments with High Suspended Sediment Loads and Large Floating Debris
05:31

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Microplastics in Stormwater: Sampling and Methodology Challenges.

Andres Sanchez Garcia1, Huayun Zhou2, Cesar Gomez-Avila1

  • 1Department of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA.

Toxics
|June 25, 2025
PubMed
Summary
This summary is machine-generated.

Sampling and analyzing microplastics (MPs) in stormwater is challenging. Contamination can occur during sample collection and filtration, and certain analysis methods may underestimate MP quantities, highlighting the need for robust quality control.

Keywords:
Nile redRaman spectroscopyfluorescence microscopymicroplasticsstormwater

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Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Water Quality

Background:

  • Stormwater runoff is a major pathway for microplastic pollution into surface waters.
  • Existing methods for microplastic analysis in stormwater control measures face significant challenges.
  • Variability across regions in the United States complicates standardized microplastic assessment.

Purpose of the Study:

  • To investigate challenges in sampling, treatment, and characterization of microplastics in US stormwater.
  • To identify sources of contamination during microplastic analysis.
  • To evaluate the effectiveness of different analytical techniques for microplastic detection.

Main Methods:

  • Stormwater sediment samples collected using automatic samplers.
  • Analysis via visible and fluorescence microscopy with Nile red stain.
  • Confirmation using Raman spectroscopy.
  • Inclusion of laboratory and field blanks for quality control.

Main Results:

  • Filtration and sampling processes are significant sources of laboratory contamination.
  • Relying solely on green fluorescence may underestimate microplastic quantities.
  • Raman spectroscopy faced interferences from pigments and additives, especially for particles ≤10 microns.
  • Quality assurance and control are critical at all analytical stages.

Conclusions:

  • Implementing rigorous quality assurance and control is essential for accurate microplastic assessment in environmental samples.
  • Standardized protocols are needed to address contamination and analytical limitations.
  • Further research should focus on improving detection limits and reducing interferences for microplastic analysis.