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Assessing inhalation intake of microplastics using MPPD model
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Researchers used a computer model from the U.S. Environmental Protection Agency to estimate how many airborne microplastics people inhale and where they deposit in the lungs. They found that the estimated mass deposited in human lungs ranged from about 19 to 50 micrograms, with the deep lung region being of particular concern because particles there are cleared very slowly. The study highlights the urgent need to better measure the size distribution of airborne microplastics in the breathable range to accurately assess inhalation risks.
Increasing evidence of the presence of small microplastics in human tissues necessitates research on their intake routes and internalization. Among two major routes of exposure to microplastics (MPs), inhalation pathways are less investigated than ingestion pathways. In this study, quantitative estimation of microplastics intake and internalization was conducted using the multi-path particle dosimetry (MPPD) model by US Environmental Protection Agency assuming three representative particle size distributions (i.e., Power law, unimodal, and biomodal distributions) of cylindrical MPs within the aerodynamic diameter between 0.1 and 10 μm at the aspect ratio of 3:1. Assuming the default atmospheric concentration of MPs at 0.1 μg m-3, the estimated mass deposition in human lungs ranged 19.1-49.9 μg. Although sensitivity analysis revealed that estimated mass deposition of MPs in human lungs were not much different among three particle size distributions, deposition in the pulmonary region was strongly affected by the type of size distributions. Because of suspected health symptoms of MPs in the pulmonary region and the slower clearance in this region, it is of urgent needs to characterize MP size distribution in the inhalable particle size range (0.1-10 μm) and to analyze MPs in the same size range in human respiratory tissues.
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Evaluation of analytical particle deposition models against experimental mouse lung data
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Scientists tested computer models that predict where inhaled particles (like microplastics or air pollution) get trapped in the lungs, comparing predictions against real data from mouse lungs. The models did a reasonably good job predicting overall patterns of where particles land, especially deep in the lungs, but were less accurate at pinpointing exactly which specific regions get the most exposure. This matters because as concerns grow about breathing in microplastics and other tiny pollutants, we need reliable tools to predict which parts of our lungs are most at risk—and this study shows current models are useful but still need refinement to make precise regional predictions.
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