Assessing the Lost Fraction: Diversity, Abundance, and Mass of Microplastics (1-300 µm) in Aquatic Systems

The protocol presented here enables the quantification of microplastics (MPs) as small as ~1 µm in diameter, accurate identification of polymer types, and estimation of particle volume, critically allowing for the calculation of MP mass. Representative results from samples collected in the Great South Bay (GSB), NY, showed that particles within the 1-6 µm equivalent spherical diameter (ESD) range were the most abundant, with approximately 75% of particles measuring less than 5 µm. Notably, the pre-sieving step failed to yield any particles larger than 60 µm, suggesting that large MPs were rare at the coastal sites sampled. Prior to filtration, a chemical oxidation step was used to remove organic debris, which facilitated the filtration of larger water volumes (>1 L) from discrete bottle-collected samples and reduced filter clogging. While this approach significantly improved filtration efficiency, aspects of the methodology still require refinement to reduce the total time required for sample preparation and data analysis. Raman microspectroscopy and associated data processing remain time-intensive, particularly for accurately analyzing particles smaller than 10 µm in complex environmental matrices. Ongoing efforts are focused on minimizing analytical uncertainties, optimizing the trade-off between particle counting accuracy and processing time, and reducing artifacts in the detection workflow.

Authors

Institutions

Publication Details

Journal
Journal of Visualized Experiments
Published
2025-08-22
DOI
https://doi.org/10.3791/68148
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the Lost Fraction: Diversity, Abundance, and Mass of Microplastics (1-300 µm) in Aquatic Systems

Tatiana Zaliznyak, Gordon T. Taylor, Luis Medina Faull
Journal of Visualized Experiments
Microplastics and Plastic Pollution
article

Assessing the Lost Fraction: Diversity, Abundance, and Mass of Microplastics (1-300 µm) in Aquatic Systems

Tatiana Zaliznyak, Gordon T. Taylor, Luis Medina Faull
article en

Abstract

The protocol presented here enables the quantification of microplastics (MPs) as small as ~1 µm in diameter, accurate identification of polymer types, and estimation of particle volume, critically allowing for the calculation of MP mass. Representative results from samples collected in the Great South Bay (GSB), NY, showed that particles within the 1-6 µm equivalent spherical diameter (ESD) range were the most abundant, with approximately 75% of particles measuring less than 5 µm. Notably, the pre-sieving step failed to yield any particles larger than 60 µm, suggesting that large MPs were rare at the coastal sites sampled. Prior to filtration, a chemical oxidation step was used to remove organic debris, which facilitated the filtration of larger water volumes (>1 L) from discrete bottle-collected samples and reduced filter clogging. While this approach significantly improved filtration efficiency, aspects of the methodology still require refinement to reduce the total time required for sample preparation and data analysis. Raman microspectroscopy and associated data processing remain time-intensive, particularly for accurately analyzing particles smaller than 10 µm in complex environmental matrices. Ongoing efforts are focused on minimizing analytical uncertainties, optimizing the trade-off between particle counting accuracy and processing time, and reducing artifacts in the detection workflow.

Journal of Visualized Experiments(222)
Stony Brook University (US)
Life below water
Openalex Percentile: Top 84%
Microplastics and Plastic Pollution
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.