Literature DB >> 15819860

Rapid identification of Candida spp. in peritonitis patients by Raman spectroscopy.

M S Ibelings1, K Maquelin, H Ph Endtz, H A Bruining, G J Puppels.   

Abstract

This prospective study evaluated Raman spectroscopy for the identification of clinically relevant Candida spp. in peritonitis patients. A Raman database was developed by measuring spectra from 93 reference strains belonging to ten different Candida spp. Clinical samples were obtained from the surgical department and intensive care unit of a tertiary university hospital. In total, 88 peritoneal specimens from 45 patients with primary, secondary or tertiary peritonitis were included. Specimens were cultured initially on a selective Sabouraud medium that contained gentamicin to suppress bacterial growth. For conventional identification, a chromogenic medium was used for presumptive identification, followed by use of the Vitek 2 system for definitive identification (requiring a total time of 48-96 h). Raman measurements were taken on overnight cultures from Sabouraud-gentamicin medium. Thirty-one samples were positive for Candida by culture. Using multivariate statistical analyses, a prediction accuracy of 90% was obtained for Raman spectroscopy, which appears to offer an accurate and rapid (12-24 h) alternative for the identification of Candida spp. in peritonitis patients. The reduced turn-around time is of great clinical importance for the treatment of critically ill patients with invasive candidiasis in intensive care units.

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Year:  2005        PMID: 15819860     DOI: 10.1111/j.1469-0691.2005.01103.x

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  9 in total

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2.  Raman spectroscopy provides a powerful, rapid diagnostic tool for the detection of tuberculous meningitis in ex vivo cerebrospinal fluid samples.

Authors:  R Sathyavathi; Narahara Chari Dingari; Ishan Barman; P S R Prasad; Subhashini Prabhakar; D Narayana Rao; Ramachandra R Dasari; Jayanthi Undamatla
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3.  Rapid identification of mycobacteria by Raman spectroscopy.

Authors:  P C A M Buijtels; H F M Willemse-Erix; P L C Petit; H P Endtz; G J Puppels; H A Verbrugh; A van Belkum; D van Soolingen; K Maquelin
Journal:  J Clin Microbiol       Date:  2008-01-03       Impact factor: 5.948

4.  A research agenda on the management of intra-abdominal candidiasis: results from a consensus of multinational experts.

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Journal:  Intensive Care Med       Date:  2013-10-09       Impact factor: 17.440

5.  Raman spectroscopy and chemometrics for identification and strain discrimination of the wine spoilage yeasts Saccharomyces cerevisiae, Zygosaccharomyces bailii, and Brettanomyces bruxellensis.

Authors:  Susan B Rodriguez; Mark A Thornton; Roy J Thornton
Journal:  Appl Environ Microbiol       Date:  2013-08-02       Impact factor: 4.792

Review 6.  Recent trends in molecular diagnostics of yeast infections: from PCR to NGS.

Authors:  Toni Gabaldón
Journal:  FEMS Microbiol Rev       Date:  2019-09-01       Impact factor: 16.408

Review 7.  Raman spectroscopy: the gateway into tomorrow's virology.

Authors:  Phelps J Lambert; Audy G Whitman; Ossie F Dyson; Shaw M Akula
Journal:  Virol J       Date:  2006-06-28       Impact factor: 4.099

8.  Sensitive and specific discrimination of pathogenic and nonpathogenic Escherichia coli using Raman spectroscopy-a comparison of two multivariate analysis techniques.

Authors:  Khozima Hamasha; Qassem I Mohaidat; Russell A Putnam; Ryan C Woodman; Sunil Palchaudhuri; Steven J Rehse
Journal:  Biomed Opt Express       Date:  2013-03-01       Impact factor: 3.732

9.  Raman spectroscopy and advanced mathematical modelling in the discrimination of human thyroid cell lines.

Authors:  Andrew T Harris; Manjree Garg; Xuebin B Yang; Sheila E Fisher; Jennifer Kirkham; D Alastair Smith; Dominic P Martin-Hirsch; Alec S High
Journal:  Head Neck Oncol       Date:  2009-10-28
  9 in total

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