[Automated method for yeast identification: ATB 32 C].
The aim of this study was to evaluate the ATB 32 C (API system) automatic medium for identifying yeasts in clinical samples. A total of 101 yeasts strains were studied, representing 8 genera and 18 different species, identified by conventional means. All 32 microdomes of the track, including dehydrated substrates, were inoculated in a semi-solid media (C medium). After their incubation at 30 degrees C for 48 hours, the reading device ATB 1520 and the computer of ATB system the reading and automatic interpretation of the results. Using the ATB method, 85 strains were identified (84%) at species level, 9 at genus level and a non-conclusive or unacceptable profile was recorded in 7 strains. From all clinically important yeasts species, a total of 96% were identified by ATB method according to conventional methods. From all non clinically relevant species, ATB 32 C identified correctly 23 strains (78%). ATB 32 C method is a good alternative approach to conventional techniques for identifying yeasts in clinical samples.
Hernández-Molina
J M
JM
Laboratorio de Microbiología, Hospital La Inmaculada, Huércal-Overa, Almería.
Coque
M T
MT
Campos
E
E
Rando
C
C
Leiva
E F
EF
D001331:Automation; D050260:Carbohydrate Metabolism; D003124:Colorimetry / Q000295:instrumentation; D001330:Electronic Data Processing; D005188:False Negative Reactions; D005189:False Positive Reactions; D006801:Humans; D008829:Microbiology / Q000295:instrumentation*; D009181:Mycoses / Q000382:microbiology*; D015203:Reproducibility of Results; D013045:Species Specificity; D015003:Yeasts / Q000145:classification / Q000302:isolation & purification* / Q000378:metabolism