methods it was accomplished the identification of 62 bacteria strains proceeding API 20 Strep identified 51
methods it was accomplished the identification of 62 bacteria strains proceeding API 20 Strep identified 51
L'examen microscopique est très important pour l'identification : on Gram + très différents comme le montre l'étalement extrême du GC % de 32 à 69 %.
11-Mar-2012 Bactériocines produites par des bactéries du genre Staphylococcus ... Medium (bioMérieux France) destinée à identifier des bactéries ...
32 : Personnel enseignant-chercheur de sciences en chimie organique Figure 16 : Démarche diagnostique d'identification d'une levure du genre Candida.
BIOMÉRIEUX API & ID 32 IDENTIFICATION DATABASES descriptions of P lautusand of P peoriae (1996) Int J Syst Bacteriol 46 988-1003 53 • ASH (C ) PRIEST (F G ) and COLLINS (M D ): Molecular identification of rRNA group 3 bacilli (Ash Farrow Wallbanks and Collins) using a PCR probe test (1993)
of API Staph ID 32 Staph-Zym for identi?cation of coagulase-negative staphylococci isolated from bovine milk samples Veterinary Microbiology (2008) doi:10 1016/j vetmic 2008 11 004 This is a PDF ?le of an unedited manuscript that has been accepted for publication As a service to our customers we are providing this early version of the
API ID 32 Staph and VITEK 2 systems (both obtained from bioMérieux Marcy l’Etoile France) partial 16S rDNA sequencing chemotaxonomy and riboprinting to determine species designation (3) The thermal cycling condition to amplify the partial rpoB gene (899 bp) was 35 cycles of denaturation at 94°C for 45 s (300 s for the first
INTRODUCTION The API® ID 32 and rapid ID 32 database update takes into account: • the evolution of international taxonomy • the description of the new bacterial species • newly acquired bacteriology data (new pro? les for bacterial strains which have an impact on performance data)
Commercial biochemical systems can identify a number of CoNS with accuracy of more than 95 with relative speed and simplicity 13In this study species identi?cation of CoNS was performed by using API ID 32 Staph a commercially available biochemical test system which can identify 24 species
version cards and the API ID32 STAPH test The glyceraldehyde-3-phosphate dehydrogenase France) and the BD Phoenix system (Becton Dickin-son Diagnostic Systems Sparks MD ) Quite recently the
tube coagulation test and the API ID 32 Staph system (bioMérieux Marcy-L’Etoile France) as coagulase-nega-tive staphylococci susceptible to oxacillin (MIC 0 5 mg/mL) and vancomycin (MIC 1 0 mg/mL) but resistant to rifampin (MIC >32 mg/mL) However the colony mor-phologic findings were suggestive of small colony variants
The API® ID 32 and rapid ID 32 database update takes into account: • the evolution of international taxonomy • the description of the new bacterial species • newly acquired bacteriology data (new pro? les for bacterial strains which have an impact on performance data) As a result of the update the APIWEB™ software version has
The API and ID 32 databases have again been updated Twenty-two of the twenty-three identification databases have been revised taking account the biochemical profiles of over 56277 strains Today 697 species of bacteria and yeasts can be identified including 14 new species and 50 that have been assigned new names 1
The ID 32 Staph system test strips (Biomerieux SA/ 69280 Marcy-l’ Etiole France) were also used for bacteriological diagnosis Antimicrobial Sensitivity Antibiogram tests for the isolate were per- formed using the disc diffusion techniques on Mueller Hinton agar (Oxoid) NCCLS stand- ards were used for evaluation of the results
Theusefulness ofthe ID32 Staph Systemanda methodbasedonrRNAgenerestriction site polymorphism wasevaluated bythe study of42 staphylococcal clinical isolates phenotypically difficult to identify
The iden-tification of strains was confirmed by Api ID 32 Staph strips the antibiotic susceptibility test was performed using ATB Staph kit PCR assay was used to detect the oxacillin resistance gene (mecA) and the erythromy-cin genes (ermA ermB ermC msrA and mef)
ID 32 E rapid ID 32 E Cronobacter malonaticus Cronobacter muytjensii Cronobacter sakazakii Cronobacter turicensis Pectobacterium atrosepticum Pectobacterium betavasculorum Pectobacterium carotovorum ID 32 C Staphylococcus pseudintermedius ID 32 STAPH Strip Number of taxa Time of incubation (in hours) Performance ( ) Correctly identified