Literature DB >> 16325947

Raman spectroscopy and chemical imaging for quantification of filtered waterborne bacteria.

Maria Fernanda Escoriza1, Jeanne M VanBriesen, Shona Stewart, John Maier, Patrick J Treado.   

Abstract

Rapid and reliable assessment of pathogenic microbial contamination in water is critically important. In the present work we evaluated the suitability of Raman Spectroscopy and Chemical Imaging as enumeration techniques for waterborne pathogens. The prominent C-H stretching band observed between 2800-3000 cm(-1) of the spectrum is used for quantification purposes. This band provides the highest intensity of the bacterial-spectrum bands facilitating the detection of low number of microorganisms. The intensity of the Raman response correlates with number of cells present in drops of sample water on aluminum-coated slides. However, concentration of pathogens in drinking and recreational water is low, requiring a concentration step, i.e., filtering. Subsequent evaluation of filtering approaches for water sampling for Raman detection showed significant background signal from alumina and silver membranes that reduces method sensitivity. Samples concentrated by filtration show good correlation between Raman spectroscopy and other quantification methods including turbidity (R(2)=0.92), plate counts (R(2)=0.87) and dry weight (R(2)=0.97). Background interferences did not allow for evaluation of this relationship at low cell concentrations.

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Year:  2005        PMID: 16325947     DOI: 10.1016/j.mimet.2005.10.013

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  4 in total

1.  Development and Automation of a Bacterial Biosensor to the Targeting of the Pollutants Toxic Effects by Portable Raman Spectrometer.

Authors:  Oleksandra Bandeliuk; Ali Assaf; Marine Bittel; Marie-Jose Durand; Gérald Thouand
Journal:  Sensors (Basel)       Date:  2022-06-08       Impact factor: 3.847

Review 2.  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

3.  Accurate and Rapid Differentiation of Acinetobacter baumannii Strains by Raman Spectroscopy: a Comparative Study.

Authors:  Meron Ghebremedhin; Rae Heitkamp; Shubha Yesupriya; Bradford Clay; Nicole J Crane
Journal:  J Clin Microbiol       Date:  2017-06-07       Impact factor: 5.948

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

  4 in total

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