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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=113042"><dc:title>Potential applications of rapid microbiological methods for detection of antibiotic residues in wastewater, surface and well water</dc:title><dc:creator>Godič Torkar,	Karmen	(Avtor)
	</dc:creator><dc:creator>Fink,	Rok	(Avtor)
	</dc:creator><dc:subject>antibiotics</dc:subject><dc:subject>microbiological methods</dc:subject><dc:subject>water</dc:subject><dc:subject>screening</dc:subject><dc:subject>contamination</dc:subject><dc:description>The goal of the present study was to determine whether the commercial
microbiological and tracer assays for the detection of antibiotics in the food
were also useful and sensitive enough for testing water samples. Diffusion tests
Delvotest® SP-NT and BRT-AiM showed the similar sensitivity to tested
antibiotics in spiked water samples. Both tests showed the similar sensitivity to
examined antibiotics in water as it was published in milk, while tracer assay
BetaStar showed slightly higher minimum detection levels for penicillin and
ampicillin but not for cloxacillin. The previous concentration of the samples by
lyophilization took place to detect concentrations of antibiotics 100-fold lower
than there were the minimum detection limits of the assays. The presence of
inhibitory substances in surface and well samples was detected in 16 (16.3 %)
cases out of 98 with both ampoule diffusion methods. The positive results
were obtained at 15.0 % of surface water samples, while in well water the
residues were found also in 16.9 % and 13.6 % samples, using Delvotest SPNT and BRT-AiM, respectively. The β-lactams were detected with BetaStar in
7.5 % of surface water samples. The 12 wastewater samples from hospitals
were contaminated with inhibitory substances in 45.5 % (Delvotest SP-NT) or
in 36.4 % (BRT-AiM). </dc:description><dc:date>2013</dc:date><dc:date>2019-11-29 15:33:52</dc:date><dc:type>Neznano</dc:type><dc:identifier>113042</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
