Plastic pollution has introduced vast quantities of micro- and nanoplastics (MNPs) into aquatic ecosystems, raising urgent questions about their impacts on biodiversity and global biogeochemical cycles. Among the most critical but poorly understood aspects is how MNPs interact with plankton communities, which form the foundation of food webs and drive the ocean’s biological carbon pump-a key regulator of atmospheric CO₂.
Emerging studies show that MNPs can impair nutrient uptake, photosynthesis, and growth in algae, while also reshaping community composition by favouring opportunistic species. These changes cascade through ecosystems: plastics can alter carbon export by binding with algal cells into fast-sinking aggregates or, conversely, reducing sinking when attached to buoyant particles. Moreover, predators often ingest MNPs indirectly through contaminated prey, with transfer efficiencies up to an order of magnitude higher than direct uptake. Yet despite these findings, our understanding of how MNPs affect plankton-driven processes and carbon cycling remains fragmented, with few quantitative datasets under realistic ecological conditions.
This PhD project will bridge that gap by combining field surveys, laboratory experiments, and advanced analytical tools. Water and plankton samples from UK coastal waters will be analysed to quantify MNP types, sizes, and concentrations, correlated with plankton community metrics. Using innovative labelling and state-of-the-art techniques, the student will investigate species-specific uptake across representative algae, linking particle properties to cellular physiology and nutrient assimilation. Controlled feeding experiments will trace trophic transfer into zooplankton and higher consumers, generating quantitative coefficients for ecological risk models. Finally, the project will integrate these data into a predictive framework to assess how MNPs disrupt plankton community dynamics and the efficiency of the biological carbon pump.
The research will provide fundamental insights into the ecological and climate implications of plastic pollution, with outcomes directly relevant to environmental agencies, fisheries managers, and international policy. Training will be highly interdisciplinary, spanning environmental nanoscience, plankton ecology, analytical chemistry, and ecological modelling, equipping the student with cutting-edge skills and an outstanding platform for career development in environmental science.
Figure 1: Pollution by microplastics may put the biological carbon pump at risk (https://oceaninfo.com/ocean/conservation/the-biological-carbon-pump/).
This project is not suitable for CASE funding
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This project will combine controlled mesocosm experiments, advanced analytical techniques, and ecological modelling to unravel how MNPs influence plankton-mediated carbon sequestration. Laboratory mesocosms will be used to expose phytoplankton and zooplankton communities to environmentally relevant concentrations and types of MNPs, quantifying effects on primary production, grazing efficiency, and particulate organic carbon (POC) export. High-resolution techniques such as flow cytometry, single-particle ICP-MS, and FTIR/Raman spectroscopy will track MNP uptake, aggregation, and interactions with plankton. Stable isotope labelling will trace carbon flow through trophic levels under MNP exposure. Parallel microbial and molecular analyses will identify changes in biofilm formation and enzymatic pathways that regulate organic matter degradation. Experimental findings will be integrated into ecological models of the biological carbon pump to predict long-term consequences of MNP pollution for carbon sequestration, providing mechanistic insight into a critical but poorly understood dimension of global change.
The student will gain interdisciplinary expertise spanning experimental ecology, environmental chemistry, and data modelling. Training will include mesocosm design and operation, advanced analytical techniques, and molecular tools for microbial and enzymatic profiling. Skills in stable isotope tracing and ecological modelling will be developed through hands-on supervision and workshops. The project also provides training in coding, statistical analysis, and machine learning for predictive modelling. Transferable skills such as scientific writing, presentation, project management, and international collaboration will be fostered through engagement with the supervisory team, CENTA cohort activities, and global project partners.
Not applicable.
Year 1: literature review and training, method development & lab pilot studies.
Year 2: mesocosm experiments, data collection and analysis, mid-project review
Year 3: modelling, thesis writing, dissemination and publication.
Journal:
Jambeck, J.R., et al., 2015. Plastic waste inputs from land into the ocean. Science, 347(6223), pp.768–771.
Rillig, M.C., et al., 2020. Microplastic effects on plants. Science, 368(6498), pp.1430–1431.
Wieczorek, A.M., et al., 2019. Toxicity of microplastics to marine zooplankton. Environmental Science & Technology, 53(9), pp.5387–5395.
Gao, L., et al., 2023. Effects of microplastics on aquatic organisms. Aquatic Toxicology, 255, p.106395.
Binda, G., et al., 2024. Microplastics in freshwater ecosystems. Communications Earth & Environment, 5(1), p.545.
Su, Y., et al., 2020. Microplastic pollution in the environment. Chemosphere, 244, p.125485.
Zhu, R., et al., 2025. Impacts of nanoplastics on marine biota. Proceedings of the National Academy of Sciences, 122(11), p.e2423957122.
Parrella, F., et al., 2024. Microplastics and ecosystem resilience. Nature Water, 2(6), pp.541–552.
Hasegawa, T., et al., 2021. Ecological impacts of microplastics. Environmental Pollution, 273, p.116468.
Browne, M.A., Crump, P., Niven, S.J., Teuten, E., Tonkin, A., Galloway, T. & Thompson, R.C., 2011. Accumulation of microplastic on shorelines worldwide: sources and sinks. Environmental Science & Technology, 45(21), pp.9175–9179.
Harris, P.T., 2020. The fate of microplastic in marine environments. Marine Pollution Bulletin, 158, p.111398.
For any enquiries related to this project please contact Dr Zhiling Guo, [email protected]
To apply to this project:
Applications must be submitted by 23:59 GMT on Wednesday 7th January 2026.