Microplastics

Lichens Show How Greenspaces Cut Atmospheric Microplastics

As biomonitors, lichens show how green spaces buffer urban areas from atmospheric microplastic pollution.

Microplastics are a growing concern in the environment, particularly in densely populated urban areas. Traffic, industrial emissions, textiles, waste disposal, and construction are some of the primary sources of these urban microplastics. Atmospheric conditions, such as wind and precipitation, often influence their dispersion throughout the environment.

You can also read: Engineering Innovations for Microplastic Prevention and Control

Measuring atmospheric microplastic content can require specialized infrastructure for sampling networks. This can be prohibitive for data collection, which is generally labor-intensive. An alternative approach is biomonitoring—the measurement of air pollutants using plants. Lichens, specifically, are effective biomonitors of airborne pollutants and can thrive in diverse environments. A recent study characterized microplastic content along a gradient from urban to rural environments using lichens. Furthermore, this study compared the amount of microplastics between parking lots and urban parks. This research suggests that green spaces can function as a buffer for atmospheric microplastics while helping detect and assess environmental pollution.

Planting and Analyzing Lichen

Researchers in Tuscany selected 54 lichens and their substrates for this study. They transplanted them in remote, rural areas, as well as urban parks and parking lots. After seven weeks, they collected the lichen samples for analysis.

By placing lichens in various environments, researchers could plot a gradient of microplastic content against population density. Figure courtesy of Greenspaces can reduce the level of airborne microplastic contamination in urban environments: Evidence from a lichen biomonitoring study.

To prepare the samples, researchers cleaned and digested the samples, then vacuum filtered the solution onto paper disks. They placed the disks onto petri dishes for microscopic analysis to then categorize the microplastic content of the samples. Researchers grouped the microplastics into fibers, fragments, and tire wear particles (TWPs). The researchers used the following equation to estimate daily microplastic (MP) deposition in the lichen:

MP deposition (MPs/m2/d) = MP concentration (MPs/g dw lichen) × 160 (g/m2) / 49 (days)

Lichen-Derived Data

Microplastics appeared in all the samples, including the origin site of the lichen (2 MP/g dw). Researchers found 7 MP/g dw in urban parks compared to 16 MP/g dw in urban parking lots.

Researchers found a variety of microplastics in the lichens, with polyethylene terephthalate (PET) most frequently detected. Figure courtesy of Greenspaces can reduce the level of airborne microplastic contamination in urban environments: Evidence from a lichen biomonitoring study.

A key takeaway from this study is the role greenspaces may play in buffering atmospheric microplastics. The count of microplastics in urban parks was less than half of that of parking urban parking lots. The lichen used in this study, E. prunastri, showed good suitability for airborne microplastic detection. This detection method is non-invasive and is applicable in a variety of ecosystems. Currently, scientists have not fully established standardized protocols for sampling atmospheric microplastics. Lichen, as a sampling method, could allow for more cohesion during data collection for future studies.

By Julienne Smith | December 10, 2025

View Comments

  • The paper referred to appears to focus on the presence of chlorinated polyisoprene particles? What about tyre derived microplastics? (the major source).
    It would be very interesting to see how concentrations would vary between greenspaces and car parks.
    Re lichen studies. Are lichens selective in what they absorb? Hard to tell from what is reported.

Recent Posts

  • Software

Moldex3D Brings DOE and Machine Data Into Injection Molding

Automation, virtual DOE, and connected production data are reshaping how engineers optimize injection molding processes.

3 days ago
  • Injection Molding

Why MFI and Capillary Rheometry Can Miss Molding Behavior

MFI and capillary rheometry provide useful flow data, but they may not fully predict polymer…

4 days ago
  • Industry

New Era of Extrusion: Machine AI to Smart Factory

Extrusion is evolving from a standalone process into a connected component of the smart factory.…

5 days ago
  • Composites

New Electrical Method Targets Carbon Fiber Recovery

A bipolar electrode electrical treatment separates resin from CFRP without directly wiring the composite into…

5 days ago
  • Extrusion

In-Line Raman Spectroscopy Reveals Material Changes During Extrusion

In-line Raman spectroscopy and rheology can reveal material changes during extrusion, helping track resin changeovers,…

6 days ago
  • Packaging

What the EU PPWR Means for Packaging Manufacturers

The EU PPWR is now in effect, bringing new rules on recyclability, recycled content, EPR,…

7 days ago