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Megasonic sonication for cost-effective and automatable elution of Cryptosporidium from filters and membranes

Sample processing is a highly challenging stage in the monitoring of waterborne pathogens. This step is time-consuming, requires highly trained technicians and often results in low recovery rates of pathogens. In the UK but also in other parts of the world, Cryptosporidium is the only pathogen direc...

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Bibliographic Details
Published in:Journal of microbiological methods 2015-11, Vol.118, p.123-127
Main Authors: Kerrouche, Abdelfateh, Desmulliez, Marc P.Y., Bridle, Helen
Format: Article
Language:English
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Summary:Sample processing is a highly challenging stage in the monitoring of waterborne pathogens. This step is time-consuming, requires highly trained technicians and often results in low recovery rates of pathogens. In the UK but also in other parts of the world, Cryptosporidium is the only pathogen directly tested for in routine operational monitoring. The traditional sampling process involves the filtration of 1000L of water, semi-automated elution of the filters and membranes with recovery rates of about 30–40% typically. This paper explores the use of megasonic sonication in an attempt to increase recovery rates and reduce both the time required for processing and the number of labour-intensive steps. Results demonstrate that megasonic energy assisted elution is equally effective as the traditional manual process in terms of recovery rates. Major advantages are however offered in terms of reduction of the elution volume enabling the current centrifugation stage to be avoided. This saves time, equipment and staff costs and critically removes the step in the process that would be most challenging to automate, paving the way thereby for highly effective automated solutions to pathogens monitoring. •The decrease of the volume of the reagents required by the elution•The reduction of the manual intervention needed•The reduction of time and resources and•The potential for fully automation system in the Cryptosporidium detection process
ISSN:0167-7012
1872-8359
DOI:10.1016/j.mimet.2015.09.001