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Cited by 207

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Removal of microorganisms and their chemical metabolites from water using semiconductor photocatalysis

Open access
Robertson, Peter K.J., Robertson, Jeanette M.C., Bahnemann, Detlef W.·2012·Journal of Hazardous Materials

Abstract

Semiconductor photocatalysis has been applied to the remediation of an extensive range of chemical pollutants in water over the past 30 years. The application of this versatile technology for removal of micro-organisms and cyanotoxins has recently become an area that has also been the subject of extensive research particularly over the past decade. This paper considers recent research in the application of semiconductor photocatalysis for the treatment of water contaminated with pathogenic micro-organisms and cyanotoxins. The basic processes involved in photocatalysis are described and examples of recent research into the use of photocatalysis for the removal of a range of microorganisms are detailed. The paper concludes with a review of the key research on the application of this process for the removal of chemical metabolites generated from cyanobacteria.

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Metadata

Authors
Robertson, P. K. J., Robertson, J. M. C., & Bahnemann, D. W.
Venue
Journal of Hazardous Materials
Publisher
Elsevier BV
Published
2012-04
Volume
211-212
Pages
161-171
ISSN
0304-3894 (ISSN-L)
OpenAlex
W2060554045
Cited by
207
References
0
FWCI
6.17
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Removal of microorganisms and their chemical metabolites from water using semiconductor photocatalysis. https://app.cochat.ai/papers/10.1016/j.jhazmat.2011.11.058
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Robertson, P. K. J., Robertson, J. M. C., & Bahnemann, D. W. (2012). Removal of microorganisms and their chemical metabolites from water using semiconductor photocatalysis. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2011.11.058

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.