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Diagram showing the concentration of all types of microplastic and anthropogenic microfiber pollution found in this study overlaid on a heat map showing the concentration of shipping traffic (all types) and a heatmap showing population density. In all cases, red indicates higher numbers.
Staffordshire University

Forensic Science Techniques Used to ID Microplastic ‘Hotspots’ in Open Waters

Collaborative study identifies pollution concentrations, calls for targeted action in combating plastic contamination

by Staffordshire University
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Key Takeaways:

  • Innovative Microplastic Detection: Collaboration between forensic and environmental experts results in a new method to identify microplastic pollution hotspots in open waters.
  • Study in Long Island Sound: Technique trialed in the estuarine area identified primary and secondary hotspots, highlighting the need for reference databases to address pollution sources effectively.
  • Call for Action: Urgent need for solution development and deployment emphasized based on findings, stressing the importance of understanding microplastic concentrations and their implications.

Forensic and environmental experts have teamed up to develop a new scientific method to pinpoint microplastic pollution ‘hotspots’ in open waters.

A study by Staffordshire University, The Rozalia Project for a Clean Ocean, and Central Wyoming College trialed the technique in New York’s Long Island Sound.

Professor Claire Gwinnett from Staffordshire University explained: “Long Island Sound was a location of interest because it has lots of factors that can cause pollution.

“It is an estuary that has high populations of wildlife, it is a busy transport route frequented by cargo ships, and is a popular fishing area. Located adjacent to New York City, it is also highly populated and a major tourist destination.”

Funded, in part, by the National Geographic Society, the study saw samples collected from the deck of the 60′ oceanographic sailing research vessel, American Promise. The team took one-liter ‘grab samples’ of surface water every three miles from the East River along the middle of Long Island Sound to The Race, where it meets Rhode Island Sound.

Grab sampling allows analysis of specific locations, with the researchers applying a statistical approach to identify hotspots where microplastics were most in evidence.

“People often use the term ‘hotspot,’ but it is not scientifically defined. Previous studies have used largely subjective methods, without the use of any rules or thresholds that differentiate hotspots from non-hotspots,” Professor Gwinnett commented.

“Our study proposed a simple yet objective method for determining hotspots using standard deviation values. This is the first time that this has been done.”

Two primary and two secondary hotspots were observed, near either end of the sampling area. There is potentially a ‘bottleneck’ effect in the narrower zones or, conversely, a dilution effect in the wider section of Long Island Sound. Similarly, hotspots were observed as being close to or in line with a river mouth, specifically the Thames and Connecticut Rivers.

Overlaying heat maps of various types of shipping and vessel traffic with the microparticle heat map from this study shows potential similarities. In particular, between areas of high recreational and passenger vessel traffic and higher microplastic concentration.

Professor Gwinnett said: “We need to consider factors that might influence these results, such as population, geography, and human use. The identified hotspots, however, were found in both densely populated areas and adjacent to some of the least densely populated land areas surrounding Long Island Sound.

“The first step in combatting this type of pollution is by characterizing microparticle samples so that we can begin to understand where they might have come from.”

97 percent of samples contained man-made particulates. Microparticles were classified as 76.14 percent fibers and 23.86 percent fragments. 47.76 percent of the fibers were synthetic, and 52.24 percent were non-synthetic.

Forensic science approaches developed by Staffordshire University were used to analyze the microparticles—including type, color, shape, material, presence of delusterant, and width—which identified 30 unique categories of potential sources of pollution.

Rachael Miller, Expedition Lead, and Rozalia, Project Founder, explained: “Unlike larger fragments of plastic, which may exhibit clear features that easily identify its original source, such as bottle cap ridges or a partial logo, this is generally very difficult for microparticles unless an analysis approach which fully characterizes the particle is used.

“Identifying a specific type of item from which a microparticle came, e.g., [a] pair of jeans, carpet, tire, or personal hygiene product, increases the likelihood of discovering the mechanism for transport to the environment. That, in turn, increases opportunities to prevent a subset of microplastic pollution.”

The authors are now calling for reference databases of potential pollutants of waterways. PhD researcher Amy Osbourne specializes in forensic fiber analysis at Staffordshire University after progressing from the undergraduate degree in Forensic Investigation.

She said: “We cannot confidently identify the sources of pollution without being able to cross reference samples against large, easily searched known provenance databases. Such databases are already used in forensic science when identifying sources of evidence found at crime scenes.

“For example, we might begin with a database of all the different types of fishing nets or tarpaulins that we know are commonly used in areas like Long Island Sound.”

Professor Gwinnett added: “While more research is needed to fully understand microplastics concentrations and implications of this pollution, the very presence is enough to engage in solution development and solution deployment.”

- This press release was originally published on the Staffordshire University website and has been edited for style and clarity

AI Use Disclaimer: Parts of this text, such as the title and key takeaways, may have been generated using AI. All AI-generated content is fact-checked and edited for clarity.