Advances in the integration of microalgal communities for biomonitoring of metal pollution in aquatic ecosystems of sub-Saharan Africa

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Authors

Mulenga, Mary
Monde, Concillia
Johnson, Todd
Ouma, Kennedy O.
Syampungani, Stephen

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Abstract

This review elucidated the recent advances in integrating microalgal communities in monitoring metal pollution in aquatic ecosystems of sub-Saharan Africa (SSA). It also highlighted the potential of incorporating microalgae as bioindicators in emerging technologies, identified research gaps, and suggested directions for further research in biomonitoring of metal pollution. Reputable online scholarly databases were used to identify research articles published between January 2000 and June 2023 for synthesis. Results indicated that microalgae were integrated either individually or combined with other bioindicators, mainly macroinvertebrates, macrophytes, and fish, alongside physicochemical monitoring. There was a significantly low level of integration (< 1%) of microalgae for biomonitoring aquatic metal pollution in SSA compared to other geographical regions. Microalgal communities were employed to assess compliance (76%), in diagnosis (38%), and as early-warning systems (38%) of aquatic ecological health status. About 14% of biomonitoring studies integrated microalgal eDNA, while other technologies, such as remote sensing, artificial intelligence, and biosensors, are yet to be significantly incorporated. Nevertheless, there is potential for the aforementioned emerging technologies for monitoring aquatic metal pollution in SSA. Future monitoring in the region should also consider the standardisation and synchronisation of integrative biomonitoring and embrace the “Citizen Science” concept at national and regional scales.

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DATA AVAILABILITY : All the data generated are available in this review. Additional data and information can be sourced from the cited references and online databases or sources.

Keywords

Bioindicator, Biosensor, Microalgal e-DNA, Biomonitoring, Artificial intelligence (AI), Citizen science, SDG-15: Life on land

Sustainable Development Goals

SDG-15:Life on land

Citation

Mulenga, M., Monde, C., Johnson, T. et al. Advances in the integration of microalgal communities for biomonitoring of metal pollution in aquatic ecosystems of sub-Saharan Africa. Environmental Science and Pollution Research 31, 40795–40817 (2024). https://doi.org/10.1007/s11356-024-33781-1.