Recent advances in the bioremediation of wastewater pollutants by using bacterial magnetic nanoparticles and magnetotactic bacteria
- PMID: 40719883
- DOI: 10.1007/s11274-025-04447-y
Recent advances in the bioremediation of wastewater pollutants by using bacterial magnetic nanoparticles and magnetotactic bacteria
Abstract
The potential of bacterial magnetic nanoparticles and magnetotactic bacteria has increased significantly in wastewater treatment. Magnetotactic bacteria and their magnetosomes exhibit unique magnetic and structural properties that facilitate the efficient removal of pollutants, including heavy metals, dyes, pesticides, and radionuclides. Unlike chemically synthesized nanoparticles, bacterial magnetosomes are biocompatible, recyclable, and can be manipulated using external magnetic fields, making them suitable for repeated use in treatment systems. This review examines the current advancements in the cultivation, large-scale manufacture, and functionalization of magnetotactic bacteria and magnetosomes, as well as their extensive applications in environmental and industrial sectors. Advanced analytical techniques play a crucial role in confirming the physical, chemical, and magnetic stability of these materials. Together, these properties make magnetotactic bacteria and their magnetosomes promising tools for eco-friendly and cost-effective wastewater treatment.
Keywords: Bioreduction; Bioremediation; Magnetosomes; Magnetotactic bacteria; Wastewater treatment.
© 2025. The Author(s), under exclusive licence to Springer Nature B.V.
Conflict of interest statement
Declarations: “All authors have read, understood, and have complied as applicable with the statement on"Ethical responsibilities of Authors". The study was conducted by relevant institutional, national, and international guidelines and legislation. The datasets used and/or analyzed during the present study are available from the corresponding author. Ethical approval. Not applicable. Consent to participate: Na. Consent to publish: All the authors have given their consent to publish this article. Competing interest: The authors declare no competing interests associated with the publication of this article. Conflict of interest: The authors declare no conflict of interest associated with the publication of the manuscript. Generative AI statement: The authors have responsibly used ChatGPT4 to correct the grammar in some of the sentences. Additionally, the authors have used Scispace to obtain tabulated data in Table 5 which was later on cross checked manually.
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