Identification of meat-isolated Enterobacteriaceae by an In silico-ARDRA approach
نویسندگان
چکیده
منابع مشابه
A novel approach for identification of members of Enterobacteriaceae isolated from clinical samples
A simple algorithm is proposed for the identification of Enterobacteriaceae which routinely necessitates numerous biochemical tests and a prolonged time span [may extend upto 96 hours].This simple scheme is economical and time saving, reducing the turnaround time for identification of the pathogenic organisms to 24 hours, so that the final reports can be given to the clinician within the 3 day ...
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The isolation and identification of 2,220 Enterobacteriaceae from meats indicated that Escherichia coli biotype I, Enterobacter agglomerans, and Serratia liquefaciens were the principal types to be differentiated in meats. Citrobacter freundii, Klebsiella pneumoniae, Enterobacter cloacae, and Enterobacter hafniae were also commonly identified. Identification of isolates by the Encise II (Roche ...
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the main purpose of this research was to:1.develop a coking model for thermal cracking of naphtha.2.study coke inhibition methods using different coke inhibitors.developing a coking model in naphtha cracking reactors requires a suitable model of the thermal cracking reactor based on a reliable kinetic model.to obtain reliable results all these models shall be solved simultaneously.for this pu...
15 صفحه اولIdentification of Enterobacteriaceae by the automicrobic system: Enterobacteriaceae biochemical cards versus Enterobacteriaceae-plus biochemical cards.
Enterobacteriaceae Biochemical Cards (EBC) may be used in the AutoMicrobic system for identification of enteric bacilli. Recently, the card has been modified to permit identification of enteric and certain nonenteric bacilli. Also, minor modifications have been in the computer program used for interpretation of tests with the new cards (EBC+). The two types of cards (EBC and EBC+) were tested i...
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ژورنال
عنوان ژورنال: Emirates Journal of Food and Agriculture
سال: 2010
ISSN: 2079-052X
DOI: 10.9755/ejfa.v22i2.4897