Literature DB >> 25517827

Toward culture-free Raman spectroscopic identification of pathogens in ascitic fluid.

Sandra Kloß1, Petra Rösch, Wolfgang Pfister, Michael Kiehntopf, Jürgen Popp.   

Abstract

The identification of pathogens in ascitic fluid is standardly performed by ascitic fluid culture, but this standard procedure often needs several days. Additionally, more than half of the ascitic fluid cultures are negative in case of suspected spontaneous bacterial peritonitis (SBP). It is therefore important to identify and characterize the causing pathogens since not all of them are covered by the empirical antimicrobial therapy. The aim of this study is to show that pathogen identification in ascitic fluid is possible by means of Raman microspectroscopy and chemometrical evaluation with the advantage of strongly increased speed. Therefore, a Raman database containing more than 10000 single-cell Raman spectra of 34 bacterial strains out of 13 different species was built up. The performance of the used statistical model was validated with independent bacterial strains, which were grown in ascitic fluid.

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Year:  2014        PMID: 25517827     DOI: 10.1021/ac503373r

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  7 in total

1.  Macromolecular Profiling of Organelles in Normal Diploid and Cancer Cells.

Authors:  Svitlana M Levchenko; Andrey N Kuzmin; Artem Pliss; Junle Qu; Paras N Prasad
Journal:  Anal Chem       Date:  2017-09-26       Impact factor: 6.986

2.  A quick screening model for symptomatic bacterascites in cirrhosis.

Authors:  Long-Chuan Zhu; Long Xu; Wen-Hua He; Wei Wu; Xuan Zhu
Journal:  Saudi J Gastroenterol       Date:  2016 Jul-Aug       Impact factor: 2.485

3.  Culture-Free Detection of Crop Pathogens at the Single-Cell Level by Micro-Raman Spectroscopy.

Authors:  Qinhua Gan; Xuetao Wang; Yun Wang; Zhenyu Xie; Yang Tian; Yandu Lu
Journal:  Adv Sci (Weinh)       Date:  2017-07-10       Impact factor: 16.806

Review 4.  Raman Spectroscopy-A Novel Method for Identification and Characterization of Microbes on a Single-Cell Level in Clinical Settings.

Authors:  Katarina Rebrosova; Ota Samek; Martin Kizovsky; Silvie Bernatova; Veronika Hola; Filip Ruzicka
Journal:  Front Cell Infect Microbiol       Date:  2022-04-22       Impact factor: 6.073

5.  Raman Spectroscopic Differentiation of Streptococcus pneumoniae From Other Streptococci Using Laboratory Strains and Clinical Isolates.

Authors:  Marcel Dahms; Simone Eiserloh; Jürgen Rödel; Oliwia Makarewicz; Thomas Bocklitz; Jürgen Popp; Ute Neugebauer
Journal:  Front Cell Infect Microbiol       Date:  2022-07-22       Impact factor: 6.073

6.  Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning.

Authors:  Benjamin Lundquist Thomsen; Jesper B Christensen; Olga Rodenko; Iskander Usenov; Rasmus Birkholm Grønnemose; Thomas Emil Andersen; Mikael Lassen
Journal:  Sci Rep       Date:  2022-09-30       Impact factor: 4.996

Review 7.  Applications of Raman Spectroscopy in Bacterial Infections: Principles, Advantages, and Shortcomings.

Authors:  Liang Wang; Wei Liu; Jia-Wei Tang; Jun-Jiao Wang; Qing-Hua Liu; Peng-Bo Wen; Meng-Meng Wang; Ya-Cheng Pan; Bing Gu; Xiao Zhang
Journal:  Front Microbiol       Date:  2021-07-19       Impact factor: 5.640

  7 in total

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