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Article . 2020
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Detection and Frequency of Enterotoxin (cpa,cpe) Genes of Clostridium perfringens Isolated from Dehydrated Vegetables by PCR

Authors: Ghourchian, Sedighe; Douraghi, Masoumeh; Baghani, Akram; Soltan Dallal, Mohammad Mehdi;

Detection and Frequency of Enterotoxin (cpa,cpe) Genes of Clostridium perfringens Isolated from Dehydrated Vegetables by PCR

Abstract

Background and Objective: Clostridium perfringens is an anaerobic bacterium, commonly present in retail foods. Its enterotoxin-producing ability, short generation time, ability to grow at elevated temperatures, and spore-forming ability, allows it to survive in food-processing temperatures, and cause foodborne illness. The aim of study was to screen dehydrated vegetables contaminated with cpe and cpa carrying C.perfringens. Materials and Methods: This is descriptive-analytical study, was carried out on 140 samples (70 unpacked and 70 packed) dehydrated vegetables collected from different areas of Tehran. Samples were inoculated on peptone and sulfite polymyxin sulfadiazine (SPS) agar for enrichment. The enrichment culture was then incubated on anaerobic condition for 48 hours. The black colonies were selected for identification test and PCR. The bacterial colonies were identified by biochemical tests, and duplex PCR was performed for α-toxin (cpa) and enterotoxin (cpe) genes. Results: In general 13 samples (9.3) were identified as C. perfringens using phenotypic methods, all of the isolates were also positive for cpa but negative for cpe gene. The contamination rate for packed vegetables was 12.8 and for unpacked was 5.7. Conclusion: Our finding showed that contamination of packed dehydrated vegetables was higher than unpacked; this might be due to drying as well as packaging process. We found that these isolates were negative for enterotoxin.

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Keywords

Clostridium perfringens, Dehydrated Vegetables, Enterotoxin

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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