[Evaluation on the capability of indole pyruvic acid production by members of Proteeae on different brands of sulfide-indole-motility].

Members of Proteeae were vertically inoculated into different brands of sulfide-indole-motility (SIM) medium for evaluating the capability of IPA production. A total of 328 clinical strains of tribe Proteeae was used as tested organisms, including 186 Proteus mirabilis strains, 62 Morganella morganii strains, 31 Proteus vulgaris strains, 27 Providencia rettgeri strains, 14 Providencia stuartii and 8 Providencia alcalifaciens strains. Seven different brands of SIM medium used in this study are Kyokuto and Eiken from Japan; Gibco, Difco, Scott and BBL from U.S.A.; as well as Oxoid from England. The results indicate that SIM medium of kyokuto is the most suitable medium for Proteus spp. and Providencia spp. to produce IPA (positive rates are 95.4% and 93.0%, respectively) but not for Morganella morganii (16.1%). Eiken, Gibco and BBL SIM medium are only good for Providencia spp. to produce IPA (positive rates are 95.5%, 85.1% and 87.8%, respectively). Take account the tribe Proteeae the best SIM medium to detect IPA production was from Kyokuto (80%) and the worst was Oxoid (0.3%). Since SIM medium can constantly detect the production of H2S, the relationship between H2S and IPA was analyzed. We found that there is no obvious interaction between these two characters. Production of phenylalanine deaminase (PD) is one of the important characters for tribe Proteeae. We compared PD and IPA positive rates of each members and found that the ability to produce PD and IPA is almost identical for each member in tribe Proteeae except Morganella morganii.(ABSTRACT TRUNCATED AT 250 WORDS)

[Evaluation of the GNF computer-coding system for the identification of non-fermentative Gram-negative bacilli].

In order to evaluate the effectiveness of the GNF computer-coding system for the identification of glucose non-fermenting gram-negative bacilli, we employed 406 strains of bacteria including 367 clinical isolates and 39 standard strains for testing. These strains were inoculated into the following eleven conventional biochemical test media: Triple Sugar Iron Agar, Simmon's Citrate Agar, Christensen's Urea Agar, Sulfide-Indole-Motility Medium, Semisolid Voges-Proskauer Test Medium, Moeller's Ornithine Decarboxylase Test Medium, Pyocyanin Test Medium, Oxidation/Fermentation (O/F) Glucose, O/F Fructose, Nitrate Broth, Moeller's Arginine Dihydrolase Test Medium. The results of these tests plus those from the hanging drop motility test and the oxidase test were converted into bacterial code number and then checked with the GNF computer-coding system. It was found that the first preference of agreement was 75.6%, second 15.3%, third 5.9%, and fourth or more 3.2%. In regard to the speed of bacterial identification by using the GNF system and information from hemolysis pattern and flagella stain, it was indicated that 84.7% would be correctly identified within 36-48 hours after isolation. If more confirmational tests were employed, the accurate identification rate would reach to 98.7% after 4 days of isolation. In addition, the use of the GNF computer-coding system can standardize identification procedures, shorten the identification period, and save cost in terms of materials supply, inoculation time, media preparation and media-storing space. Therefore, we conclude that the GNF computer-coding system is an effective tool in the identification of the glucose non-fermenting gram-negative bacilli.