Online Monitoring and Identification of Bioaerosol (OMIB)

Rösch, Petra; Harz, Michaela; Krause, Mario; Petry, R.; Peschke, Klaus; Burkhardt, Hans; Ronneberger, Olaf; Schüle, Andreas; Schmauz, Günther; Riesenberg, Rainer; Wuttig, Andreas; Lankers, M.; Höfer, Stefan; Thiele, Hans; Motzkus, Hans‐Walter; Popp, Jürgen

doi:10.1002/3527608842.ch3

Cited by 11 publications

(26 citation statements)

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“…5 Plate 1(A) shows three Raman spectra The 10 measurements were performed at different locations inside the same cell. These average spectra were used to perform a hierarchical cluster analysis [see Fig.…”

Section: Resultsmentioning

confidence: 99%

“…However, owing to the inhomogeneous distribution of the various components in eukaryotes, the identification procedure is more complex than that for the identification of prokaryotes. 5 In future experiments these methods should be applied to a greater set of species also for other genera.…”

mentioning

confidence: 99%

“…This proves that micro-Raman spectroscopy in combination with classification methods allows for a fast and reliable, non-destructive online identification of single microorganism such as single bacteria 5 and yeast. However, owing to the inhomogeneous distribution of the various components in eukaryotes, the identification procedure is more complex than that for the identification of prokaryotes.…”

mentioning

confidence: 99%

“…Xie and coworkers performed measurements on single yeast cells by means of Raman spectroscopy in combination with optical tweezers. 6,7 Further studies on Raman spectroscopic monitoring of yeast mitosis 8 5 From these Raman images, no dependence on the spatial position of measurement was observed, i.e. the bacterium shows spatial homogeneity.…”

Section: Introductionmentioning

confidence: 99%

“…Various groups have reported on the non-ambiguous identification of yeast and bacteria micro-colonies within a size range of 50-100 µm. 2 -4 In order to reduce further the amount of microorganisms needed for a rapid identification or to perform measurements at the single-cell level without a cultivation step, 5 further studies on isolated yeast cells are necessary. Xie and coworkers performed measurements on single yeast cells by means of Raman spectroscopy in combination with optical tweezers.…”

Section: Introductionmentioning

confidence: 99%

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Raman spectroscopic identification of single yeast cells

Rösch

Harz

Schmitt

et al. 2005

J Raman Spectroscopy

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Eukaryotes (such as yeasts) and prokaryotes (such as bacteria) differ in size, molecular complexity, etc. By definition, eukaryotic cells store their DNA in a separate internal compartment, the so-called nucleus. Owing to this molecular compartmentalization, the identification of yeast cells by vibrational spectroscopy at a single-cell level is challenging. This contribution reports on first results of micro-Raman analysis together with a hierarchical cluster analysis allowing for an online identification method for yeast cells at a single-cell level. For the classification analysis, an average spectrum from 10 different measuring points within a single yeast cell was used to overcome the heterogeneity of the yeast cells.

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Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Raman spectroscopic identification of single yeast cells

Rösch

Harz

Schmitt

et al. 2005

J Raman Spectroscopy

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Tracing Bioagents – a Vibrational Spectroscopic Approach for a Fast and Reliable Identification of Bioagents

Rösch

Münchberg

Stöckel

et al. 2012

Infrared and Raman Spectroscopy in Forensic Science

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Towards a Detailed Understanding of Bacterial Metabolism—Spectroscopic Characterization of Staphylococcus Epidermidis

et al. 2006

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Bacteria are a major cause of infection. To fight disease and growing resistance, research interest is focused on understanding bacterial metabolism. For a detailed evaluation of the involved mechanisms, a precise knowledge of the molecular composition of the bacteria is required. In this article, various vibrational spectroscopic techniques are applied to comprehensively characterize, on a molecular level, bacteria of the strain Staphylococcus epidermidis, an opportunistic pathogen which has evolved to become a major cause of nosocomial infections. IR absorption spectroscopy reflects the overall chemical composition of the cells, with major focus on the protein vibrations. Smaller sample volumes-down to a single cell-are sufficient to probe the overall chemical composition by means of micro-Raman spectroscopy. The nucleic-acid and aromatic amino-acid moieties are almost exclusively explored by UV resonance Raman spectroscopy. In combination with statistical evaluation methods [hierarchical cluster analysis (HCA), principal component analysis (PCA), linear discriminant analysis (LDA)], the protein and nucleic-acid components that change during the different bacterial growth phases can be identified from the in vivo vibrational spectra. Furthermore, tip-enhanced Raman spectroscopy (TERS) provides insight into the surface structures and follows the dynamics of the polysaccharide and peptide components on the bacterial cells with a spatial resolution below the diffraction limit. This might open new ways for the elucidation of host-bacteria and drug-bacteria interactions.

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Online Monitoring and Identification of Bioaerosol (OMIB)

Cited by 11 publications

References 0 publications

Raman spectroscopic identification of single yeast cells

Raman spectroscopic identification of single yeast cells

Tracing Bioagents – a Vibrational Spectroscopic Approach for a Fast and Reliable Identification of Bioagents

Towards a Detailed Understanding of Bacterial Metabolism—Spectroscopic Characterization of Staphylococcus Epidermidis

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