We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Reconciling the actual and nominal exposure concentrations of microplastics in aqueous phase: Implications for risk assessment and deviation control
Summary
Researchers analyzed 210 published microplastic exposure experiments and found that nearly 40% had actual particle concentrations deviating more than 20% from their stated nominal values, with particle size identified as the key factor driving inaccuracy, and proposed correction approaches to improve risk assessment reliability.
The deviation between actual and nominal concentrations of microplastics (MPs), as a long-standing issue, has been critically commented. However, there is still a lack of quantitative assessment and reconciling practice on the deviation. In this study, a total of 210 deviations were recompiled to thoroughly examine this issue. It was shown that up to 81 (39%) deviations exceeded the recommended ± 20% variation specification, highlighting that the deviation of MPs should not be neglected. This study attempted to reconcile the deviation based on the most prominent driving factors. Specifically, the game theory-based SHapley Additive exPlanations (SHAP) algorithm identified that the particle size was the most important factor affecting the deviation. Subsequently, at each size magnitude, a significant linear correlation between the logarithmic actual and nominal concentrations was determined, which provided a sound basis for estimating the actual concentration from the nominal one. Furthermore, deviations of different size classes were simulated through 10, 000 points, suggesting that the ± 20% deviation variation could be well maintained within a specific concentration range. Moreover, the potential interaction effects between factors were quantified by SHAP interaction values, with more detailed conversion bases proposed. Additionally, several control measures were recommended to reduce the deviation of MPs.
Sign in to start a discussion.
More Papers Like This
Microplastic exposure studies should be environmentally realistic
Researchers argue that many laboratory studies on microplastic effects use concentrations far higher than what is actually found in the environment, which can lead to misleading conclusions about real-world risks. They call for experiments that better reflect environmental conditions, including realistic particle sizes, shapes, and concentrations. The study emphasizes that more environmentally relevant research is needed to accurately assess the true ecological threat of microplastic pollution.
Microplastics and nanoplastics toxicity assays: A revision towards to environmental-relevance in water environment
This review evaluates how well current laboratory toxicity tests for micro and nanoplastics reflect real-world conditions in water environments. The authors found that most studies use pristine plastic particles at concentrations far higher than what is found in nature, limiting the relevance of their findings. The paper calls for more environmentally realistic testing approaches to better understand the actual risks of plastic particle pollution.
Data driven methods to increase the reliability of microplastics hazard assessment
Researchers applied statistical data-driven methods to improve the reliability of microplastic hazard assessments derived from a growing but inconsistent body of ecotoxicology literature. The analysis identified key study characteristics that explain variability in reported effect sizes.
Gaps in aquatic toxicological studies of microplastics
This paper identifies key gaps in aquatic toxicological studies of microplastics, arguing that most studies use unrealistic concentrations or particle types and calling for more ecologically relevant experimental designs to better assess real-world risks.
Solving the Nonalignment of Methods and Approaches Used in Microplastic Research to Consistently Characterize Risk
Researchers proposed and tested methods to rescale microplastic data collected using different sampling and analysis approaches, addressing the lack of standardization that hampers comparisons across studies. They developed correction factors to account for differences in particle size ranges, sampling volumes, and analytical techniques. The study provides practical tools for harmonizing microplastic research data, which could significantly improve global pollution assessments.