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Revisiting microplastic pollution: A novel method for detecting small-sized microplastics in natural waters
Summary
Scientists developed a new way to detect much smaller microplastic particles in water (down to 1 micron, thinner than a human hair) than previous methods could catch. When they tested this on Lake Geneva and nearby rivers, they found up to 656 times more microplastics than earlier measurements suggested, since most of the pollution was hiding in these tiny, hard-to-detect particles. This matters because tinier plastic bits can more easily enter our bodies and cells, meaning past studies may have significantly underestimated how much microplastic pollution, and potential health risk, actually exists in our water.
Abstract Microplastics are widespread, yet methods to measure polymer type simultaneously and particles size smaller than 20 µm are limited, hindering toxicity assessment and policy formulations. We introduce a machine learning-assisted spectral flow cytometry approach that identifies six major polymers relevant to the environment and human health within the 5–100 µm range and allows projection in the 1–100 µm range. High-throughput, sensitive detection, straightforward sampling, and strong quality control make this technique suitable for routine monitoring of industrial and natural waters. Clear differences in microplastics levels and polymer composition were found between Lake Geneva, nearby rivers, and surface versus deep waters. With up to 97% of microplastics between 1 and 20 µm, data indicates a substantial underestimation of pollution. Consistent with laser-infrared measurements, concentrations of small-sized microplastics exceed previous reports in lake waters up to 656-fold. Environmental risk assessment of microplastics suggests that risk might be expected at some sampling sites.