Literature DB >> 334797

Preprototype of an automated microbial detection and identification system: a developmental investigation.

A C Sonnenwirth.   

Abstract

The AutoMicrobic System is an automated, computerized instrument that uses highly selective media and an optical system for detection, enumeration, and identification of bacteria and some yeasts in 13 h. A preprototype instrument (AutoMicrobic System-1) and its urine culture kit (Identi-Pak), developed for the detection, enumeration, and identification of eight species or groups of bacteria and of Candida species and Torulopsis glabrata in urine specimens, was evaluated during its development. An overall agreement of approximately 90% between the preprototype instrument and conventional (manual) culture methods has been obtained both with 1,473 seeded (simulated) and 1,688 clinical (mono- or polymicrobial) specimens containing 70,000 (or more) colony-forming units per ml of Escherichia coli, Klebsiella-Enterobacter species, Proteus species, Citrobacter freundii, Serratia species, group D enterococci, or yeasts (Candida species and T. glabrata). Lower agreements in identification were obtained with Pseudomonas aeruginosa-containing (average of 75% in clinical specimens) and Staphylococcus aureus-containing (76%) specimens. Comparison of specimens tested simultaneously in two preprototype systems resulted in =/<4% disagreement; true negativity agreements in all specimen groups tested were at least 94%. Among problems remaining are adaptation of system for specimens other than urine, improvement of sensitivity for P. aeruginosa and S. aureus, and standardization of manual methods used for comparison and validation.

Entities:  

Mesh:

Substances:

Year:  1977        PMID: 334797      PMCID: PMC274782          DOI: 10.1128/jcm.6.4.400-405.1977

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  2 in total

Review 1.  Automated methods and data handling in bacteriology.

Authors:  H D Isenberg; J D MacLowry
Journal:  Annu Rev Microbiol       Date:  1976       Impact factor: 15.500

2.  Automated microbiological detection/identification system.

Authors:  C Aldridge; P W Jones; S Gibson; J Lanham; M Meyer; R Vannest; R Charles
Journal:  J Clin Microbiol       Date:  1977-10       Impact factor: 5.948

  2 in total
  17 in total

1.  The Automicrobic System for urines.

Authors:  D P Nicholson; J A Koepke
Journal:  J Clin Microbiol       Date:  1979-12       Impact factor: 5.948

2.  Biographical Feature: Alexander C. Sonnenwirth, Ph.D.

Authors:  Andrew B Onderdonk
Journal:  J Clin Microbiol       Date:  2016-02-17       Impact factor: 5.948

3.  Comparison of the automicrobic system, acridine orange-stained smears, and gram-stained smears in detecting bacteriuria.

Authors:  B A Lipsky; J J Plorde; F C Tenover; F P Brancato
Journal:  J Clin Microbiol       Date:  1985-08       Impact factor: 5.948

4.  Clinical laboratory evaluation of automated microbial detection/identification system in analysis of clinical urine specimens.

Authors:  H D Isenberg; T L Gavan; A Sonnenwirth; W I Taylor; J A Washington
Journal:  J Clin Microbiol       Date:  1979-08       Impact factor: 5.948

5.  Cost analysis of the Auto Microbic system urine identification card.

Authors:  A C Hamoudi; S Lin
Journal:  J Clin Microbiol       Date:  1981-10       Impact factor: 5.948

6.  Evaluation of the AutoMicrobic system for identification of glucose-nonfermenting gram-negative rods.

Authors:  S M Smith; K R Cundy; G L Gilardi; W Wong
Journal:  J Clin Microbiol       Date:  1982-02       Impact factor: 5.948

7.  Numerical identification of bacteria with a hand-held calculator as an alternative to code books.

Authors:  J Schindler; Z Schindler
Journal:  J Clin Microbiol       Date:  1982-02       Impact factor: 5.948

8.  Accurate automated identification of selected Enterobacteriaceae at four hours.

Authors:  M J Ferraro; M A Edelblut; L J Kunz
Journal:  J Clin Microbiol       Date:  1981-01       Impact factor: 5.948

9.  Use of the automicrobic and enteric-tek systems for identification of Enterobacteriaceae.

Authors:  J Goldstein; J J Guarneri; P Della-Latta; J Scherer
Journal:  J Clin Microbiol       Date:  1982-04       Impact factor: 5.948

10.  Multi-laboratory evaluation of an automated microbial detection/identification system.

Authors:  P B Smith; T L Gavan; H D Isenberg; A Sonnenwirth; W I Taylor; J A Washington; A Balows
Journal:  J Clin Microbiol       Date:  1978-12       Impact factor: 5.948

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.