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Related Experiment Video

Updated: May 31, 2026

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

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

Published on: July 28, 2018

A particle-resolved framework for quantifying microbial colonization and vector risk on environmental microplastics.

Gurusamy Kutralam-Muniasamy¹, V C Shruti²

¹Centro de Investigación e Innovación Tecnológica (CIITEC), Instituto Politécnico Nacional, México 02250, Mexico.

Eco-Environment & Health

|May 29, 2026

Summary

This summary is machine-generated.

Microplastics can carry microbes, but not all particles are equally colonized. A new particle-resolved framework and Colonization Prevalence Index (CPI) quantify this unevenness, improving risk assessment for microplastic-associated microbial risks.

Keywords:

Environmental monitoring Methodology Microbial colonization Microplastic vectors Plastisphere Risk assessment

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Sampling and Identification of Microplastics in Groundwater

Sampling and Identification of Microplastics in Groundwater

Published on: November 7, 2025

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Last Updated: May 31, 2026

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

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

Published on: July 28, 2018

Sampling and Identification of Microplastics in Groundwater

Sampling and Identification of Microplastics in Groundwater

Published on: November 7, 2025

Area of Science:

Environmental microbiology
Ecotoxicology
Polymer science

Background:

Microplastics are increasingly recognized as potential vectors for microbial pathogens and antibiotic resistance genes.
Current research often relies on bulk analyses, which obscure the heterogeneous nature of microbial colonization on individual microplastic particles.
This aggregation leads to an overestimation of the universal risk posed by microplastics as microbial vectors.

Purpose of the Study:

To develop a particle-resolved ecological framework for quantifying microbial colonization on microplastics.
To shift the focus from aggregate detection to population-level prevalence of colonization.
To introduce a quantitative metric, the Colonization Prevalence Index (CPI), for assessing microplastic-associated microbial risk.

Main Methods:

Integration of high-throughput imaging with single-particle molecular analyses.
Development of a particle-resolved framework to resolve colonization distributions.
Introduction of the Colonization Prevalence Index (CPI) to measure the proportion of colonized particles exceeding defined thresholds.

Main Results:

The proposed framework enables the resolution of right-skewed colonization distributions, highlighting "supercarrier" particles.
A minority of microplastic particles disproportionately contribute to microbial biomass and functional gene loads.
The Colonization Prevalence Index (CPI) provides a statistical measure of colonization prevalence.

Conclusions:

The particle-resolved framework and CPI offer a scalable method for linking microplastic properties to microbial colonization patterns and vector potential.
This approach enables probabilistic risk assessment and more targeted mitigation strategies for microplastic pollution.
Microplastic-associated microbial risk is reframed as a measurable population property rather than an assumed universal trait.