0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Marine & Wildlife Policy & Risk Sign in to save

Determination of microplastic contamination levels and trends in vast oceanic sediment areas with uncertainty

The Science of The Total Environment 2023 9 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Vanessa Morgado, Bettencourt da Silva, Ricardo Vanessa Morgado, Vanessa Morgado, Vanessa Morgado, Bettencourt da Silva, Ricardo Vanessa Morgado, Vanessa Morgado, Carla Palma, Carla Palma, Carla Palma, Vanessa Morgado, Vanessa Morgado, Bettencourt da Silva, Ricardo Bettencourt da Silva, Ricardo Bettencourt da Silva, Ricardo Bettencourt da Silva, Ricardo Bettencourt da Silva, Ricardo Bettencourt da Silva, Ricardo Bettencourt da Silva, Ricardo Carla Palma, Carla Palma, Carla Palma, Vanessa Morgado, Bettencourt da Silva, Ricardo Carla Palma, Bettencourt da Silva, Ricardo Carla Palma, Vanessa Morgado, Bettencourt da Silva, Ricardo

Summary

This study developed a Monte Carlo simulation method to distinguish real changes in microplastic contamination from measurement noise and natural heterogeneity in a large offshore area near Portugal. Applied to sediment samples collected over time across a 700 km² zone, the approach successfully identified meaningful contamination trends despite high spatial variability. This statistical tool is valuable for regulators and researchers who need objective evidence of whether ocean microplastic levels are actually worsening.

Polymers
Study Type Environmental

Small plastic particles, designated as microplastics, are known vehicles of several contaminants desorbed from their surface after being ingested by marine organisms. The monitoring of the levels and trends of microplastics in oceanic areas is essential to identify relevant threats and respective sources whose management should be improved to protect the environmental resources. However, the assessment of contamination trends in large oceanic areas is affected by contamination heterogeneity, sampling representativeness, and the uncertainty of collected sample analyses. Only contamination variations not justifiable by system heterogeneity and their characterisation uncertainty are meaningful and should be taken seriously by the authorities. This work describes a novel methodology for the objective identification of meaningful variation of microplastic contamination in vast oceanic areas by the Monte Carlo simulation of all uncertainty components. This tool was successfully applied to the monitoring of the levels and trends of microplastic contamination in sediments from a 700 km<sup>2</sup> oceanic area from 3 km to 20 km offshore Sesimbra and Sines (Portugal). This work allowed concluding that contamination has not varied between 2018 and 2019 (difference of mean total microplastic contamination between -40 kg<sup>-1</sup> and 34 kg<sup>-1</sup>) but that microparticles made of PET are the major type of studied microplastics (in 2019, mean contamination is between 36 kg<sup>-1</sup> and 85 kg<sup>-1</sup>). All assessments were performed for a 99 % confidence level.

Sign in to start a discussion.

Share this paper