In 2007, samples of treated effluent were collected at point of discharge to the environment from 39 wastewater treatment plants (WWTPs) located across Victoria, Australia grouped by treatment type. Sample genotoxicity was assessed with a high-throughput luminescent umu test method using Salmonella typhimurium TL210 strain, with and without addition of a commercially available metabolic activation system. Samples were also screened using a gas chromatographic—mass spectrometric mass-structure database recognition method. A genotoxic response was observed in half of the samples tested without metabolic activation system (<LOR – 0.19 μg/L 4-nitroquinoline-N-oxide equivalents). On addition of metabolic activation system, 75% of samples elicited a genotoxic response, the majority of responses were stronger than without metabolic activation (<LOR – 2.97 μg/L benzo[a]pyrene equivalents). The type of WWTP had no effect on genotoxicity. A large number of chemicals were identified in the effluents, although none could be unambiguously tied to the genotoxicity observed. Chemicals observed in one or more effluents included food additives (e.g. dibenzylether), various alkyl phenols, tyre leachates (e.g. 2(3H)-benzothiazolone), antioxidants, flame retardants (e.g. tris(2-chloroethyl)phosphate), insect repellents (e.g. diethyltoluamide), stimulants (e.g. caffeine) and anticonvulsants (e.g. carbamazepine). Of the 451 pesticides screened, carbamate insecticides (e.g. bendiocarb, propoxur), plant growth regulators (e.g. propham) and herbicides (e.g. atrazine, metolachlor, simazine) were amongst the compounds observed.
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Research Article|
August 01 2012
A pilot survey of 39 Victorian WWTP effluents using a high speed luminescent umu test in conjunction with a novel GC-MS-database technique for automatic identification of micropollutants
Mayumi Allinson;
Mayumi Allinson
1CAPIM, University of Melbourne, Parkville, Victoria 3052, Australia
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Shiho Kageyama;
Shiho Kageyama
2Environmental Quality Measurement Section, Research Centre for Environmental Risk, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506 Japan
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Daisuke Nakajima;
Daisuke Nakajima
2Environmental Quality Measurement Section, Research Centre for Environmental Risk, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506 Japan
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Ryo Kamata;
Ryo Kamata
2Environmental Quality Measurement Section, Research Centre for Environmental Risk, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506 Japan
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Fujio Shiraishi;
Fujio Shiraishi
2Environmental Quality Measurement Section, Research Centre for Environmental Risk, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506 Japan
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Sumio Goto;
Sumio Goto
3College of Environmental Health, Azabu University, 1-17-71 Fuchinobe, Sagamihara, Kanagawa 229-8501, Japan
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Scott Andrew Salzman;
Scott Andrew Salzman
4School of Information Systems, Deakin University, PO Box 423, Warrnambool, Victoria 3280, Australia
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Graeme Allinson
1CAPIM, University of Melbourne, Parkville, Victoria 3052, Australia
5Future Farming Systems Research Division Department of Primary Industries DPI Queenscliff Centre, Queenscliff, Victoria 3225, Australia
E-mail: [email protected]
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Water Sci Technol (2012) 66 (4): 768–774.
Article history
Received:
December 18 2011
Accepted:
March 29 2012
Citation
Mayumi Allinson, Shiho Kageyama, Daisuke Nakajima, Ryo Kamata, Fujio Shiraishi, Sumio Goto, Scott Andrew Salzman, Graeme Allinson; A pilot survey of 39 Victorian WWTP effluents using a high speed luminescent umu test in conjunction with a novel GC-MS-database technique for automatic identification of micropollutants. Water Sci Technol 1 August 2012; 66 (4): 768–774. doi: https://doi.org/10.2166/wst.2012.242
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