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DOI 10.1016/j.mimet.2007.06.007

Медицинская библиотека · Journal of microbiological methods · 2007

Using ultrafiltration to concentrate and detect Bacillus anthracis, Bacillus atrophaeus subspecies globigii, and Cryptosporidium parvum in 100-liter water samples.

Lindquist H D Alan, Harris Stephanie, Lucas Sasha, Hartzel Margaret, Riner Diana, Rochele Paul, Deleon Ricardo

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Аннотация

A strategy that uses ultrafiltration (UF) to concentrate microorganisms from water samples has been developed and tested. This strategy was tested using 100-liter water samples with volume reduction achieved through ultrafiltration and recycling the microorganisms of interest through a retentate vessel, rather than returning them to the sample container, where they might pose an incremental hazard to sample takers or the environment. Three protocols based on this strategy were tested. The first protocol entailed sample volume reduction and collection of the final reduced sample. The second and third protocols both incorporated pretreatment of the filter and fluid lines with a solution to prevent microorganisms from adhering. In the second protocol, the filter was back flushed with a surfactant solution to recover microorganisms. The third protocol used recirculation of a surfactant solution to recover microorganisms. Tests were undertaken using 100-liter water samples spiked with approximately 100 or 1000 microorganisms (1 or 10 per liter). Test microorganisms included Bacillus anthracis Sterne strain, Bacillus atrophaeus subsp. globigii, and Cryptosporidium parvum. The first protocol had significantly lower recovery than the other two. Back flushing resulted in higher recovery than forward flushing, but the difference was not statistically significant.

Для цитирования: Lindquist H D Alan, Harris Stephanie, Lucas Sasha, Hartzel Margaret, Riner Diana, Rochele Paul, Deleon Ricardo. Using ultrafiltration to concentrate and detect Bacillus anthracis, Bacillus atrophaeus subspecies globigii, and Cryptosporidium parvum in 100-liter water samples.. Journal of microbiological methods. 2007. DOI: 10.1016/j.mimet.2007.06.007.

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