Literature DB >> 16546283

Towards standard methods for the detection of Cryptosporidium parvum on lettuce and raspberries. Part 2: validation.

N Cook1, C A Paton, N Wilkinson, R A B Nichols, K Barker, H V Smith.   

Abstract

We report the results of interlaboratory collaborative trials of methods to detect oocysts of the protozoan parasite Cryptosporidium parvum on lettuce and raspberries. The trials involved eight expert laboratories in the United Kingdom. Samples comprised 30 g lettuce, and 60 g raspberries. Lettuce samples were artificially contaminated at three levels: low (8.5-14.2 oocysts), medium (53.5-62.6 oocysts), and high (111.3-135.0 oocysts). Non-contaminated lettuce samples were also tested. The method had an overall sensitivity (correct identification of all artificially contaminated lettuce samples) of 89.6%, and a specificity (correct identification of non-contaminated samples) of 85.4%. The total median percentage recovery (from all artificially contaminated samples) produced by the method was 30.4%. The method was just as reproducible between laboratories, as repeatable within a laboratory. Raspberry samples were artificially contaminated at three levels: low (8.5-26.8 oocysts), medium (29.7-65.7 oocysts), and high (53.9-131.3 oocysts). Non-contaminated raspberry samples were also tested. The method had an overall sensitivity (correct identification of all artificially contaminated raspberry samples) of 95.8%, and a specificity (correct identification of non-contaminated samples) of 83.3%. The total median percentage recovery (from all artificially contaminated samples) produced by the method was 44.3%. The method was just as reproducible between laboratories, as repeatable within a laboratory. The results of the collaborative trial indicate that these assays can be used effectively in analytical microbiological laboratories.

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Year:  2006        PMID: 16546283     DOI: 10.1016/j.ijfoodmicro.2005.12.014

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  4 in total

1.  Real scale environmental monitoring of zoonotic protozoa and helminth eggs in biosolid samples in Brazil.

Authors:  Taís Rondello Bonatti; Regina Maura Bueno Franco
Journal:  J Parasit Dis       Date:  2014-09-05

Review 2.  An overview of methods/techniques for the detection of Cryptosporidium in food samples.

Authors:  Shahira A Ahmed; Panagiotis Karanis
Journal:  Parasitol Res       Date:  2018-01-19       Impact factor: 2.289

3.  Development of a method for detection of Giardia duodenalis cysts on lettuce and for simultaneous analysis of salad products for the presence of Giardia cysts and Cryptosporidium oocysts.

Authors:  N Cook; R A B Nichols; N Wilkinson; C A Paton; K Barker; H V Smith
Journal:  Appl Environ Microbiol       Date:  2007-09-21       Impact factor: 4.792

4.  Detection of Cryptosporidium parvum in environmental soil and vegetables.

Authors:  Semie Hong; Kyungjin Kim; Sejoung Yoon; Woo-Yoon Park; Seobo Sim; Jae-Ran Yu
Journal:  J Korean Med Sci       Date:  2014-10-08       Impact factor: 2.153

  4 in total

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