title: Automated methods for identification of bacteria from clinical specimens.
abstract: Automated methods for measuring enzyme activities of bacterial suspensions in saline are described. The methods were applied to bacteria cultured from urine specimens, and specific enzyme profiles characteristic for Escherichia coli, Klebsiella sp, Proteus sp, and Pseudomonas sp were established. Identification of 294 freshly isolated strains by automated and conventional methods were compared. Results from automated identification based on eight enzyme tests and assay of protein content, all performed on a bacterial suspension made from one colony in 1 ml of saline, agreed 100% with those obtained by conventional methods. Identification was achieved in 6 hours.
mesh_terms: D001322:Autoanalysis / Q000295:instrumentation; D001419:Bacteria / Q000201:enzymology / Q000302:isolation & purification*; D001431:Bacteriological Techniques / Q000295:instrumentation; D001437:Bacteriuria / Q000382:microbiology*; D004926:Escherichia coli / Q000201:enzymology; D006801:Humans; D007709:Klebsiella / Q000201:enzymology; D011511:Proteus / Q000201:enzymology; D011549:Pseudomonas / Q000201:enzymology